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Yogesh L. Simmhan

Yogesh Simmhan

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affiliation: Indian Institute of Science, Bangalore, India
affiliation (former): Indiana University, Bloomington, USA

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2020 – today

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2025
[j43]
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Prathamesh Saraf Vinayak, Saswat Subhajyoti Mallick, Lakshmi Jagarlamudi, Anirban Chakraborty, Yogesh Simmhan:
CARL: Cost-Optimized Online Container Placement on VMs Using Adversarial Reinforcement Learning. IEEE Trans. Cloud Comput. 13(1): 321-335 (2025)
[i49]
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  - journals/corr/abs-2501-06706
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Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan:
AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. CoRR abs/2501.06706 (2025)
[i48]
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  - journals/corr/abs-2502-14617
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Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan:
Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale. CoRR abs/2502.14617 (2025)
[i47]
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  - journals/corr/abs-2503-09546
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Mumuksh Tayal, Yogesh Simmhan:
Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. CoRR abs/2503.09546 (2025)
[i46]
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  - journals/corr/abs-2503-20497
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Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan, Arnab K. Paul:
A Blockchain-Enabled Framework for Storage and Retrieval of Social Data. CoRR abs/2503.20497 (2025)
2024
[j42]
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Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan:
PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges. Future Gener. Comput. Syst. 161: 329-344 (2024)
[j41]
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  - journals/ton/KhochareSSD24
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Aakash Khochare, Francesco Betti Sorbelli, Yogesh Simmhan, Sajal K. Das:
Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for UAV Fleet Missions. IEEE/ACM Trans. Netw. 32(1): 17-33 (2024)
[j40]
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  - journals/tpds/BhootGS24
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Ruchi Bhoot, Suved Sanjay Ghanmode, Yogesh Simmhan:
TARIS: Scalable Incremental Processing of Time-Respecting Algorithms on Streaming Graphs. IEEE Trans. Parallel Distributed Syst. 35(12): 2527-2544 (2024)
[c105]
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  - conf/ccgrid/KulkarniRKMMABB24
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Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan:
XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. CCGrid 2024: 543-556
[c104]
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  - conf/cloud/ShettyCSMSZMVLG24
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Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. SoCC 2024: 99-110
[c103]
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  - conf/europar/NamanS24
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Pranjal Naman, Yogesh Simmhan:
Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks. Euro-Par (2) 2024: 470-484
[c102]
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  - conf/hipc/SrivastavaNPKMS24
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Shikhar Srivastava, Mridulanka Nath, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan:
Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows. HIPCW 2024: 133-134
[c101]
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Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan:
Towards a Generalized SDK for a Programmable Drones-as-a-Service. HIPCW 2024: 157-158
[c100]
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Pranjal Naman, Yogesh Simmhan:
Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations. HIPCW 2024: 173-174
[c99]
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Shiva Sai Krishna Anand Tokal, Srinath Perera, Yogesh Simmhan:
Protocol for Trustful Data Consumption from Data Repositories by Workflow Engines. HIPCW 2024: 175-176
[c98]
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  - conf/hipc/TayalS24
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Mumuksh Tayal, Yogesh Simmhan:
Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. HIPCW 2024: 181-182
[c97]
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Mayank Arya, Yogesh Simmhan:
A Preliminary Performance Analysis of LLM Inference on Edge Accelerators. HIPCW 2024: 183-184
[c96]
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  - conf/hipc/PulivarthiETPSV24
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Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan:
Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting. HIPCW 2024: 185-186
[i45]
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  - journals/corr/abs-2407-12165
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Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan:
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR abs/2407.12165 (2024)
[i44]
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  - journals/corr/abs-2407-13944
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Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan:
PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges. CoRR abs/2407.13944 (2024)
[i43]
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  - journals/corr/abs-2412-20860
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Suman Raj, Radhika Mittal, Harshil Gupta, Yogesh Simmhan:
Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. CoRR abs/2412.20860 (2024)
2023
[c95]
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  - conf/ccgrid/JaiswalRSS23
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Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan:
A Lightweight, Mobility-Aware, Geospatial & Temporal Data Store for Multi-UAV Systems. CCGridW 2023: 305-307
[c94]
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  - conf/ccgrid/SangleKSS23
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Rajiv Sangle, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan:
Comparing the Orchestration of Quantum Applications on Hybrid Clouds. CCGridW 2023: 313-315
[c93]
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  - conf/ccgrid/KulkarniBBS23
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Varad Kulkarni, Ruchi Bhoot, Animesh Baranawal, Yogesh Simmhan:
Enhancing Interval-centric Distributed Computing to Support Incremental Graphs. CCGridW 2023: 322-324
[c92]
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  - conf/ccgrid/RajS23
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Suman Raj, Yogesh Simmhan:
Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud. CCGridW 2023: 331-333
[c91]
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  - conf/ccgrid/NamanS23
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Pranjal Naman, Yogesh Simmhan:
Performance Modelling of Graph Neural Networks. CCGridW 2023: 334-336
[c90]
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  - conf/ccgrid/KulkarniCNS23
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Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan:
To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks. CCGridW 2023: 351-353
[c89]
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  - conf/ccgrid/KHS23
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Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan:
Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. CCGridW 2023: 357-359
[c88]
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  - conf/ccgrid/KhochareKKS23
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Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan:
XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. CCGrid 2023: 498-512
[c87]
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Suman Raj, Harshil Gupta, Yogesh Simmhan:
Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. CCGrid 2023: 615-626
[c86]
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  - conf/ccgrid/PlaleMDKSAS23
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Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan:
CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid 2023: 684-685
[c85]
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  - conf/chi/RajPS23
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Suman Raj, Swapnil Padhi, Yogesh Simmhan:
Ocularone: Exploring Drones-based Assistive Technologies for the Visually Impaired. CHI Extended Abstracts 2023: 220:1-220:9
[c84]
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  - conf/hipc/KHPDS23
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Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan:
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. HiPC 2023: 127-131
[c83]
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Ajeya Bhat, Sai Manasa Chadalavada, Nagakishore Jammula, Chirag Jain, Yogesh Simmhan:
A Lossless Compression Pipeline for Petabyte-Scale Whole Genome Sequencing Data. HiPC 2023: 387-391
[c82]
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  - conf/iros/AcharyaBSA23
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Srikrishna Acharya, Mukunda Bharatheesha, Yogesh Simmhan, Bharadwaj Amrutur:
A Co-Simulation Framework for Communication and Control in Autonomous Multi-Robot Systems. IROS 2023: 11087-11094
[c81]
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  - conf/qce/KhareMSRSS23
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Tuhin Khare, Ritajit Majumdar, Rajiv Sangle, Anupama Ray, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan:
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques. QCE 2023: 990-1000
[c80]
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  - conf/sigmetrics/KKS23
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Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan:
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. SIGMETRICS (Abstracts) 2023: 37-38
[e7]
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Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0119-9 [contents]
[e6]
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Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0208-0 [contents]
[e5]
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Blesson Varghese, Cristina L. Abad, Yogesh Simmhan, Khalid Elgazzar, Stefan Schulte, Abhinandan S. Prasad, Lorenzo Carnevale:
7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-2288-0 [contents]
[i42]
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  - journals/corr/abs-2312-07220
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Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan:
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. CoRR abs/2312.07220 (2023)
2022
[j39]
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  - journals/concurrency/BahetiAPS22
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Shrey Baheti, Parwat Singh Anjana, Sathya Peri, Yogesh Simmhan:
DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains. Concurr. Comput. Pract. Exp. 34(10) (2022)
[j38]
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  - journals/jsa/CucinottaMS22
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Tommaso Cucinotta, Frank Mueller, Yogesh Simmhan:
Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC). J. Syst. Archit. 124: 102437 (2022)
[c79]
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  - conf/ccgrid/VarshneyRCKS22
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Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare, Yogesh Simmhan:
Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. CCGRID 2022: 473-483
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Yogesh Simmhan:
Pedagogic Practices for Teaching Distributed Systems Courses. COMPUTE 2022: 6
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Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharathesa, Yogesh Simmhan:
CORNET 2.0: A Co-Simulation Middleware for Robot Networks. COMSNETS 2022: 684-690
[c76]
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  - conf/eScience/KhochareSMA22
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Aakash Khochare, Yogesh Simmhan, Sameep Mehta, Arvind Agarwal:
Toward Scientific Workflows in a Serverless World. e-Science 2022: 399-400
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Animesh Baranawal, Yogesh Simmhan:
Optimizing the interval-centric distributed computing model for temporal graph algorithms. EuroSys 2022: 541-558
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Yogesh Simmhan, Sameep Mehta:
Workshop on Data Fabric for Hybrid Clouds (WDFHC). HiPCW 2022: 44-45
[c73]
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Prashanthi S. K, Aakash Khochare, Sai Anuroop Kesanapalli, Rahul Atul Bhope, Yogesh Simmhan:
Don't Miss the Train: A Case for Systems Research into Training on the Edge. IPDPS Workshops 2022: 985-986
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Gargi Dasgupta, Yogesh Simmhan, Balaji Vasan Srinivasan, Sourav Bhowmick, Amith Singhee, Maya Ramanath, Nipun Batra, Abhinandan S. Prasad:
CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022. ACM 2022, ISBN 978-1-4503-8582-4 [contents]
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Lena Mashayekhy, Stefan Schulte, Valeria Cardellini, Burak Kantarci, Yogesh Simmhan, Blesson Varghese:
6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022, Messina, Italy, May 16-19, 2022. IEEE 2022, ISBN 978-1-6654-9524-0 [contents]
[i41]
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Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare, Yogesh Simmhan:
Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. CoRR abs/2203.13324 (2022)
2021
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Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan:
Granite: A distributed engine for scalable path queries over temporal property graphs. J. Parallel Distributed Comput. 151: 94-111 (2021)
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Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan:
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 44:1-44:26 (2021)
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Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan:
Cost-Effective Sharing of Streaming Dataflows for IoT Applications. IEEE Trans. Cloud Comput. 9(4): 1391-1407 (2021)
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Shrey Baheti, Shreyas Badiger, Yogesh Simmhan:
VIoLET: An Emulation Environment for Validating IoT Deployments at Large Scales. ACM Trans. Cyber Phys. Syst. 5(3): 25:1-25:39 (2021)
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Aakash Khochare, Aravindhan Krishnan, Yogesh Simmhan:
A Scalable Platform for Distributed Object Tracking Across a Many-Camera Network. IEEE Trans. Parallel Distributed Syst. 32(6): 1479-1493 (2021)
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Srikrishna Acharya, S. Sadgun S. Devanahalli, Alok Rawat, Kuruvilla Varghese, Pratik Sharma, Bharadwaj Amrutur, Ashish Joglekar, Raghu Krishnapuram, Yogesh Simmhan, Himanshu Tyagi:
Network Emulation For Tele-driving Application Development. COMSNETS 2021: 109-110
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Manoj K. Agarwal, Animesh Baranawal, Yogesh Simmhan, Manish Gupta:
Event Related Data Collection from Microblog Streams. DEXA (2) 2021: 319-331
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Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, Sajal K. Das:
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions. INFOCOM 2021: 1-10
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Jayant R. Haritsa, Shourya Roy, Manish Gupta, Sharad Mehrotra, Balaji Vasan Srinivasan, Yogesh Simmhan:
CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021. ACM 2021, ISBN 978-1-4503-8817-7 [contents]
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Yogesh L. Simmhan, Blesson Varghese, Lena Mashayekhy, Rajkumar Buyya, Omer F. Rana:
5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021, Virtual Event, May 10-13, 2021. IEEE 2021, ISBN 978-1-6654-0291-0 [contents]
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Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, Sajal K. Das:
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions. CoRR abs/2102.08768 (2021)
[i39]
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  - journals/corr/abs-2109-06979
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Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharatheesha, Yogesh Simmhan:
CORNET 2.0: A Co-Simulation Middleware forRobot Networks. CoRR abs/2109.06979 (2021)
2020
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Prateeksha Varshney, Yogesh Simmhan:
Characterizing application scheduling on edge, fog, and cloud computing resources. Softw. Pract. Exp. 50(5): 558-595 (2020)
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Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan:
A Distributed Path Query Engine for Temporal Property Graphs. CCGRID 2020: 499-508
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Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi:
CORNET: A Co-Simulation Middleware for Robot Networks. COMSNETS 2020: 245-251
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Dhruv Garg, Prathik Shirolkar, Anshu Shukla, Yogesh Simmhan:
TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage. Euro-Par 2020: 281-295
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Swapnil Gandhi, Yogesh Simmhan:
An Interval-centric Model for Distributed Computing over Temporal Graphs. ICDE 2020: 1129-1140
[i38]
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  - journals/corr/abs-2002-03274
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Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan:
A Distributed Path Query Engine for Temporal Property Graphs. CoRR abs/2002.03274 (2020)
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  - journals/corr/abs-2009-04916
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Yogesh Simmhan, Tarun Rambha, Aakash Khochare, Shriram Ramesh, Animesh Baranawal, John Varghese George, Rahul Atul Bhope, Amrita Namtirtha, Amritha Sundararajan, Sharath Suresh Bhargav, Nihar Thakkar, Raj Kiran:
GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management. CoRR abs/2009.04916 (2020)
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2010 – 2019

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2019
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Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. 51(5): 105:1-105:38 (2019)
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Prateeksha Varshney, Yogesh Simmhan:
AutoBoT: Resilient and Cost-Effective Scheduling of a Bag of Tasks on Spot VMs. IEEE Trans. Parallel Distributed Syst. 30(7): 1512-1527 (2019)
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Ravikant Dindokar, Yogesh Simmhan:
Adaptive Partition Migration for Irregular Graph Algorithms on Elastic Resources. CLOUD 2019: 281-290
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Aakash Khochare, Sheshadri K. R, Shriram R., Yogesh Simmhan:
Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces. CCGRID 2019: 76-81
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Yogesh Simmhan, Malati Hegde, Rajesh Zele, Sachchida N. Tripathi, Srijith Nair, Sumit K. Monga, Ravi Sahu, Kuldeep Dixit, Ronak Sutaria, Brijesh Mishra, Anamika Sharma, Anand SVR:
SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring. eScience 2019: 57-66
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Diksha Chaudhary, Bratati Kahali, Yogesh Simmhan:
An Empirical Study on Efficient Storage of Human Genome Data. HiPC Workshops 2019: 87-92
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Aakash Khochare, Yogesh Simmhan:
A scalable and composable analytics platform for distributed wide-area tracking. ICDCN 2019: 506
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Sumit Kumar Monga, Sheshadri K. R, Yogesh Simmhan:
ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources. ICWS 2019: 336-345
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Siddharth D. Jaiswal, Yogesh Simmhan:
A Partition-Centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs. IPDPS Workshops 2019: 452-459
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Shilpa Chaturvedi, Yogesh Simmhan:
Toward Resilient Stream Processing on Clouds using Moving Target Defense. ISORC 2019: 134-142
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Yogesh Simmhan:
Big Data and Fog Computing. Encyclopedia of Big Data Technologies 2019
[i36]
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  - journals/corr/abs-1902-05577
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Aakash Khochare, Aravindhan Krishnan, Yogesh Simmhan:
A Scalable Framework for Distributed Object Tracking across a Many-camera Network. CoRR abs/1902.05577 (2019)
[i35]
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Siddharth D. Jaiswal, Yogesh Simmhan:
A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs. CoRR abs/1903.06950 (2019)
[i34]
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Prateeksha Varshney, Yogesh Simmhan:
Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources. CoRR abs/1904.10125 (2019)
[i33]
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  - journals/corr/abs-1905-08051
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Diptanshu Kakwani, Yogesh Simmhan:
Distributed Algorithms for Subgraph-Centric Graph Platforms. CoRR abs/1905.08051 (2019)
[i32]
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Sumit Kumar Monga, Sheshadri K. R, Yogesh Simmhan:
ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources. CoRR abs/1905.08932 (2019)
[i31]
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Nashez Zubair, Niranjan A, Kiran Hebbar, Yogesh Simmhan:
Characterizing IoT Data and its Quality for Use. CoRR abs/1906.10497 (2019)
[i30]
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  - journals/corr/abs-1906-11721
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Shrey Baheti, Parwat Singh Anjana, Sathya Peri, Yogesh Simmhan:
DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain. CoRR abs/1906.11721 (2019)
2018
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Safiollah Heidari, Yogesh Simmhan, Rodrigo N. Calheiros, Rajkumar Buyya:
Scalable Graph Processing Frameworks: A Taxonomy and Open Challenges. ACM Comput. Surv. 51(3): 60:1-60:53 (2018)
[j28]
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Anshu Shukla, Yogesh Simmhan:
Model-driven scheduling for distributed stream processing systems. J. Parallel Distributed Comput. 117: 98-114 (2018)
[j27]
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Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde, Rashmi Ballamajalu:
Towards a data-driven IoT software architecture for smart city utilities. Softw. Pract. Exp. 48(7): 1390-1416 (2018)
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Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde, Rashmi Ballamajalu:
Cover Image. Softw. Pract. Exp. 48(7): i (2018)
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Rajrup Ghosh, Yogesh Simmhan:
Distributed Scheduling of Event Analytics across Edge and Cloud. ACM Trans. Cyber Phys. Syst. 2(4): 24:1-24:28 (2018)
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Rajrup Ghosh, Siva Prakash Reddy Komma, Yogesh Simmhan:
Adaptive Energy-Aware Scheduling of Dynamic Event Analytics Across Edge and Cloud Resources. CCGrid 2018: 72-82
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Shreyas Badiger, Shrey Baheti, Yogesh Simmhan:
VIoLET: A Large-Scale Virtual Environment for Internet of Things. Euro-Par 2018: 309-324
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Anshu Shukla, Yogesh Simmhan:
Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds. ICDCS 2018: 1096-1106
[i29]
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  - journals/corr/abs-1801-01087
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Rajrup Ghosh, Siva Prakash Reddy Komma, Yogesh Simmhan:
Adaptive Energy-aware Scheduling of Dynamic Event Analytics across Edge and Cloud Resources. CoRR abs/1801.01087 (2018)
[i28]
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  - journals/corr/abs-1803-02500
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Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde, Rashmi Ballamajalu:
Towards a Data-driven IoT Software Architecture for Smart City Utilities. CoRR abs/1803.02500 (2018)
[i27]
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Shreyas Badiger, Shrey Baheti, Yogesh Simmhan:
VIoLET: A Large-scale Virtual Environment for Internet of Things. CoRR abs/1806.06032 (2018)
[i26]
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  - journals/corr/abs-1811-07847
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Rashmi Ballamajalu, Srijith Nair, Shayal Chhabra, Sumit K. Monga, Anand SVR, Malati Hegde, Yogesh Simmhan, Anamika Sharma, Chandan M. Choudhary, Ronak Sutaria, Rajesh Zele, Sachchida N. Tripathi:
Toward SATVAM: An IoT Network for Air Quality Monitoring. CoRR abs/1811.07847 (2018)
2017
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Shantenu Jha, Daniel S. Katz, André Luckow, Neil P. Chue Hong, Omer F. Rana, Yogesh Simmhan:
Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. Concurr. Comput. Pract. Exp. 29(8) (2017)
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Anshu Shukla, Shilpa Chaturvedi, Yogesh Simmhan:
RIoTBench: An IoT benchmark for distributed stream processing systems. Concurr. Comput. Pract. Exp. 29(21) (2017)
[j22]
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Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna:
Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams. Future Gener. Comput. Syst. 76: 391-406 (2017)
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Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan:
Collaborative Reuse of Streaming Dataflows in IoT Applications. eScience 2017: 403-412
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Ravikant Dindokar, Yogesh Simmhan:
Characterization of Vertex-Centric Breadth First Search for Lattice Graphs. HiPC Workshops 2017: 32-39
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Jayanth Kalyanasundaram, Yogesh Simmhan:
ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads. HiPC 2017: 203-212
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Prateeksha Varshney, Yogesh Simmhan:
Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions. ICFEC 2017: 115-124
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Pushkara Ravindra, Aakash Khochare, Sivaprakash Reddy, Sarthak Sharma, Prateeksha Varshney, Yogesh Simmhan:
\mathbb ECHO : An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge. ICSOC 2017: 395-410
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Aakash Khochare, Pushkara Ravindra, Siva P. Reddy, Yogesh Simmhan:
Distributed Video Analytics Across Edge and Cloud Using \mathbb ECHO. ICSOC Workshops 2017: 402-407
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Bharadwaj Amrutur, Vasanth Rajaraman, Srikrishna Acharya, Rakshit Ramesh, Ashish Joglekar, Abhay Sharma, Yogesh L. Simmhan, Abhijit Lele, Ashwin Mahesh, Sathya Sankaran:
An Open Smart City IoT Test Bed: Street Light Poles as Smart City Spines: Poster Abstract. IoTDI 2017: 323-324
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Jayanth Kalyanasundaram, Yogesh Simmhan:
ARM Wrestling with Big Data: A Study of ARM64 and x64 Servers for Data Intensive Workloads. CoRR abs/1701.05996 (2017)
[i24]
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Anshu Shukla, Shilpa Chaturvedi, Yogesh Simmhan:
RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms. CoRR abs/1701.08530 (2017)
[i23]
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Anshu Shukla, Yogesh L. Simmhan:
Model-driven Scheduling for Distributed Stream Processing Systems. CoRR abs/1702.01785 (2017)
[i22]
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Prateeksha Varshney, Yogesh Simmhan:
Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions. CoRR abs/1702.06331 (2017)
[i21]
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Pushkara Ravindra, Aakash Khochare, Sivaprakash Reddy, Sarthak Sharma, Prateeksha Varshney, Yogesh Simmhan:
ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge. CoRR abs/1707.00889 (2017)
[i20]
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Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan:
Collaborative Reuse of Streaming Dataflows in IoT Applications. CoRR abs/1709.03332 (2017)
[i19]
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Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR abs/1711.09123 (2017)
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Anshu Shukla, Yogesh Simmhan:
Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds. CoRR abs/1712.00605 (2017)
[i17]
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Yogesh Simmhan:
Big Data and Fog Computing. CoRR abs/1712.09552 (2017)
2016
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Yogesh Simmhan, Lavanya Ramakrishnan, Gabriel Antoniu, Carole A. Goble:
Cloud computing for data-driven science and engineering. Concurr. Comput. Pract. Exp. 28(4): 947-949 (2016)
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Ravikant Dindokar, Neel Choudhury, Yogesh Simmhan:
A meta-graph approach to analyze subgraph-centric distributed programming models. IEEE BigData 2016: 37-47
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Ravikant Dindokar, Yogesh Simmhan:
Elastic Partition Placement for Non-stationary Graph Algorithms. CCGrid 2016: 90-93
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Nitin Jamadagni, Yogesh Simmhan:
GoDB: From Batch Processing to Distributed Querying over Property Graphs. CCGrid 2016: 281-290
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Anshu Shukla, Yogesh Simmhan:
Benchmarking Distributed Stream Processing Platforms for IoT Applications. TPCTC 2016: 90-106
[i16]
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Anshu Shukla, Yogesh Simmhan:
Benchmarking Distributed Stream Processing Platforms for IoT Applications. CoRR abs/1606.07621 (2016)
[i15]
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Rajrup Ghosh, Yogesh Simmhan:
Distributed Scheduling of Event Analytics across Edge and Cloud. CoRR abs/1608.01537 (2016)
[i14]
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Shantenu Jha, Daniel S. Katz, André Luckow, Omer F. Rana, Yogesh Simmhan, Neil P. Chue Hong:
Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure. CoRR abs/1609.03647 (2016)
[i13]
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Qunzhi Zhou, Yogesh L. Simmhan, Viktor K. Prasanna:
Knowledge-infused and Consistent Complex Event Processing over Real-time and Persistent Streams. CoRR abs/1611.00676 (2016)
2015
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Srinivas Aluru, Yogesh Simmhan:
Editorial: Scalable Systems for Big Data Management and Analytics. J. Parallel Distributed Comput. 79-80: 1-2 (2015)
[j19]
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Alok Gautam Kumbhare, Yogesh L. Simmhan, Marc Frîncu, Viktor K. Prasanna:
Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure. IEEE Trans. Cloud Comput. 3(2): 105-118 (2015)
[j18]
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Saima Aman, Yogesh L. Simmhan, Viktor K. Prasanna:
Holistic Measures for Evaluating Prediction Models in Smart Grids. IEEE Trans. Knowl. Data Eng. 27(2): 475-488 (2015)
[c43]
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Alok Gautam Kumbhare, Marc Frîncu, Yogesh L. Simmhan, Viktor K. Prasanna:
Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination. ICDCS 2015: 328-338
[c42]
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Yogesh L. Simmhan, Neel Choudhury, Charith Wickramaarachchi, Alok Gautam Kumbhare, Marc Frîncu, Cauligi S. Raghavendra, Viktor K. Prasanna:
Distributed Programming over Time-Series Graphs. IPDPS 2015: 809-818
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Ravikant Dindokar, Neel Choudhury, Yogesh L. Simmhan:
Analysis of Subgraph-Centric Distributed Shortest Path Algorithm. IPDPS Workshops 2015: 1185-1190
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Saima Aman, Marc Frîncu, Charalampos Chelmis, Muhammad Usman Noor, Yogesh Simmhan, Viktor K. Prasanna:
Prediction models for dynamic demand response: Requirements, challenges, and insights. SmartGridComm 2015: 338-343
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Yogesh L. Simmhan, Anshu Shukla, Arun Verma:
Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database. WBDB 2015: 21-39
[i12]
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Prasant Misra, Yogesh L. Simmhan, Jay Warrior:
Towards a Practical Architecture for the Next Generation Internet of Things. CoRR abs/1502.00797 (2015)
[i11]
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Prasant Misra, Vasanth Rajaraman, Kumaresh Dhotrad, Jay Warrior, Yogesh Simmhan:
An Interoperable Realization of Smart Cities with Plug and Play based Device Management. CoRR abs/1503.00923 (2015)
[i10]
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Neel Choudhury, Ravikant Dindokar, Akshay Dixit, Yogesh Simmhan:
Partitioning Strategies for Load Balancing Subgraph-centric Distributed Graph Processing. CoRR abs/1508.04265 (2015)
[i9]
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Ravikant Dindokar, Yogesh L. Simmhan:
Elastic Resource Allocation for Distributed Graph Processing Platforms. CoRR abs/1510.03145 (2015)
[i8]
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Yogesh Simmhan, Anshu Shukla, Arun Verma:
Benchmarking Fast Data Platforms for the Aadhaar Biometric Database. CoRR abs/1510.04160 (2015)
2014
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Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna:
PLAStiCC: Predictive Look-Ahead Scheduling for Continuous Dataflows on Clouds. CCGRID 2014: 344-353
[c37]
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Nitin Chandra Badam, Yogesh Simmhan:
Subgraph Rank: PageRank for Subgraph-Centric Distributed Graph Processing. COMAD 2014: 38-49
[c36]
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Nithyashri Govindarajan, Yogesh Simmhan, Nitin Jamadagni, Prasant Misra:
Event Processing across Edge and the Cloud for Internet of Things Applications. COMAD 2014: 101-104
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Yogesh Simmhan, Alok Gautam Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna:
GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics. Euro-Par 2014: 451-462
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Hsuan-Yi Chu, Yogesh Simmhan:
Cost-Efficient and Resilient Job Life-Cycle Management on Hybrid Clouds. IPDPS 2014: 327-336
[i7]
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Saima Aman, Yogesh Simmhan, Viktor K. Prasanna:
Holistic Measures for Evaluating Prediction Models in Smart Grids. CoRR abs/1406.0223 (2014)
[i6]
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Yogesh Simmhan, Charith Wickramaarachchi, Alok Gautam Kumbhare, Marc Frîncu, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna:
Scalable Analytics over Distributed Time-series Graphs using GoFFish. CoRR abs/1406.5975 (2014)
[i5]
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Yogesh Simmhan, Alok Gautam Kumbhare:
Floe: A Continuous Dataflow Framework for Dynamic Cloud Applications. CoRR abs/1406.5977 (2014)
[i4]
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Prasant Misra, Yogesh Simmhan, Jay Warrior:
Towards a Practical Architecture for India Centric Internet of Things. CoRR abs/1407.0434 (2014)
2013
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Saima Aman, Yogesh Simmhan, Viktor K. Prasanna:
Energy management systems: state of the art and emerging trends. IEEE Commun. Mag. 51(1): 114-119 (2013)
[j16]
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Yogesh Simmhan, Saima Aman, Alok Gautam Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou, Viktor K. Prasanna:
Cloud-Based Software Platform for Big Data Analytics in Smart Grids. Comput. Sci. Eng. 15(4): 38-47 (2013)
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Yogesh Simmhan, Muhammad Usman Noor:
Scalable prediction of energy consumption using incremental time series clustering. IEEE BigData 2013: 29-36
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Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna:
Towards hybrid online on-demand querying of realtime data with stateful complex event processing. IEEE BigData 2013: 199-205
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Charith Wickramaarachchi, Yogesh Simmhan:
Continuous Dataflow Update Strategies for Mission-Critical Applications. e-Science 2013: 155-163
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Mark Redekopp, Yogesh Simmhan, Viktor K. Prasanna:
Optimizations and Analysis of BSP Graph Processing Models on Public Clouds. IPDPS 2013: 203-214
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Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna:
Exploiting application dynamism and cloud elasticity for continuous dataflows. SC 2013: 57:1-57:12
[i3]
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Shel Swenson, Yogesh Simmhan, Viktor K. Prasanna, Manish Parashar, E. Jason Riedy, David A. Bader, Richard W. Vuduc:
Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR abs/1309.1828 (2013)
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Yogesh Simmhan, Alok Gautam Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna:
GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics. CoRR abs/1311.5949 (2013)
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Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna:
On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid. CoRR abs/1311.6146 (2013)
2012
[c28]
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Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna:
Cryptonite: A Secure and Performant Data Repository on Public Clouds. IEEE CLOUD 2012: 510-517
[c27]
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Jing Zhao, Yogesh Simmhan, Viktor K. Prasanna:
On Presenting Apropos Provenance for Situation Awareness and Data Forensics. IPAW 2012: 250-253
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Qunzhi Zhou, Sreedhar Natarajan, Yogesh Simmhan, Viktor K. Prasanna:
Semantic Information Modeling for Emerging Applications in Smart Grid. ITNG 2012: 775-782
[c25]
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Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna:
Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids. ISWC (2) 2012: 257-273
2011
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Yogesh Simmhan, Paul Groth, Luc Moreau:
Special Section: The third provenance challenge on using the open provenance model for interoperability. Future Gener. Comput. Syst. 27(6): 737-742 (2011)
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Luc Moreau, Ben Clifford, Juliana Freire, Joe Futrelle, Yolanda Gil, Paul Groth, Natalia Kwasnikowska, Simon Miles, Paolo Missier, Jim Myers, Beth Plale, Yogesh Simmhan, Eric G. Stephan, Jan Van den Bussche:
The Open Provenance Model core specification (v1.1). Future Gener. Comput. Syst. 27(6): 743-756 (2011)
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Yogesh Simmhan, Roger S. Barga:
Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench. Future Gener. Comput. Syst. 27(6): 790-796 (2011)
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Artem Chebotko, Yogesh Simmhan, Paolo Missier:
Guest Editorial: Scientific Workflows, Provenance and Their Applications. Int. J. Comput. Their Appl. 18(3): 130-132 (2011)
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Yogesh Simmhan, Beth Plale:
Using Provenance for Personalized Quality Ranking of Scientific Datasets. Int. J. Comput. Their Appl. 18(3): 180-195 (2011)
[j10]
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Jing Zhao, Yogesh Simmhan, Karthik Gomadam, Viktor K. Prasanna:
Querying Provenance Information in Distributed Environments. Int. J. Comput. Their Appl. 18(3): 196-215 (2011)
[c24]
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Yogesh Simmhan, Alok Gautam Kumbhare, Baohua Cao, Viktor K. Prasanna:
An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds. IEEE CLOUD 2011: 582-589
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Daniel Zinn, Quinn J. Hart, Timothy M. McPhillips, Bertram Ludäscher, Yogesh Simmhan, Michail Giakkoupis, Viktor K. Prasanna:
Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms. CCGRID 2011: 235-244
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Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna:
Towards an inexact semantic complex event processing framework. DEBS 2011: 401-402
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Saima Aman, Yogesh Simmhan, Viktor K. Prasanna:
Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators. ICDM Workshops 2011: 389-397
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Yogesh L. Simmhan, Viktor K. Prasanna, Saima Aman, Sreedhar Natarajan, Wei Yin, Qunzhi Zhou:
Toward data-driven demand-response optimization in a campus microgrid. BuildSys@SenSys 2011: 41-42
2010
[j9]
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Roger S. Barga, Yogesh L. Simmhan, Eran Chinthaka, Satya Sanket Sahoo, Jared Jackson, Nelson Araujo:
Provenance for Scientific Workflows Towards Reproducible Research. IEEE Data Eng. Bull. 33(3): 50-58 (2010)
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Yogesh Simmhan, Catharine van Ingen, Girish Subramanian, Jie Li:
Bridging the Gap between Desktop and the Cloud for eScience Applications. IEEE CLOUD 2010: 474-481
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Yogesh L. Simmhan, Lavanya Ramakrishnan:
Comparison of resource platform selection approaches for scientific workflows. HPDC 2010: 445-450
[c17]
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Yogesh Simmhan, Karthik Gomadam:
Social Web-Scale Provenance in the Cloud. IPAW 2010: 298-300
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2000 – 2009

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2009
[c16]
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Yogesh Simmhan, Catharine van Ingen, Alexander S. Szalay, Roger S. Barga, Jim Heasley:
Building Reliable Data Pipelines for Managing Community Data Using Scientific Workflows. eScience 2009: 321-328
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Yogesh Simmhan, Roger S. Barga, Catharine van Ingen, María A. Nieto-Santisteban, László Dobos, Nolan Li, Michael Shipway, Alexander S. Szalay, Sue Werner, Jim Heasley:
GrayWulf: Scalable Software Architecture for Data Intensive Computing. HICSS 2009: 1-10
[c14]
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Bin Cao, Beth Plale, Girish Subramanian, Paolo Missier, Carole A. Goble, Yogesh L. Simmhan:
Semantically Annotated Provenance in the Life Science Grid. SWPM 2009
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Bin Cao, Beth Plale, Girish Subramanian, Ed Robertson, Yogesh L. Simmhan:
Provenance Information Model of Karma Version 3. SERVICES I 2009: 348-351
2008
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Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao:
Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20(5): 409-418 (2008)
[j7]
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Yogesh L. Simmhan, Beth Plale, Dennis Gannon:
Query capabilities of the Karma provenance framework. Concurr. Comput. Pract. Exp. 20(5): 441-451 (2008)
[j6]
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Yogesh L. Simmhan, Beth Plale, Dennis Gannon:
Karma2: Provenance Management for Data-Driven Workflows. Int. J. Web Serv. Res. 5(2): 1-22 (2008)
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Roger S. Barga, Dan Fay, Dean Guo, Steven J. Newhouse, Yogesh L. Simmhan, Alexander S. Szalay:
Efficient scheduling of scientific workflows in a high performance computing cluster. CLADE 2008: 63-68
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Roger S. Barga, Jared Jackson, Nelson Araujo, Dean Guo, Nitin Gautam, Yogesh Simmhan:
The Trident Scientific Workflow Workbench. eScience 2008: 317-318
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Yogesh Simmhan, Roger S. Barga, Catharine van Ingen, Edward D. Lazowska, Alexander S. Szalay:
On Building Scientific Workflow Systems for Data Management in the Cloud. eScience 2008: 434-435
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Yogesh L. Simmhan:
End-to-End Scientific Data Management Using Workflows. SERVICES I 2008: 472-473
2007
[c8]
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Lavanya Ramakrishnan, Yogesh Simmhan, Beth Plale:
Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road. International Conference on Computational Science (1) 2007: 1122-1129
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Dennis Gannon, Beth Plale, Suresh Marru, Gopi Kandaswamy, Yogesh Simmhan, Satoshi Shirasuna:
Dynamic, Adaptive Workflows for Mesoscale Meteorology. Workflows for e-Science, Scientific Workflows for Grids 2007: 126-142
2006
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Dennis Gannon, Beth Plale, Marcus Christie, Yi Huang, Scott Jensen, Ning Liu, Suresh Marru, Sangmi Lee Pallickara, Srinath Perera, Satoshi Shirasuna, Yogesh Simmhan, Aleksander Slominski, Yiming Sun, Nithya N. Vijayakumar:
Building e-Science Portals: A Service Oriented Architecture. High Performance Computing Workshop 2006: 149-166
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Yogesh Simmhan, Beth Plale, Dennis Gannon:
Towards a Quality Model for Effective Data Selection in Collaboratories. ICDE Workshops 2006: 72
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Yogesh L. Simmhan, Beth Plale, Dennis Gannon:
A Framework for Collecting Provenance in Data-Centric Scientific Workflows. ICWS 2006: 427-436
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Yogesh L. Simmhan, Sangmi Lee Pallickara, Nithya N. Vijayakumar, Beth Plale:
Data Management in Dynamic Environment-driven Computational Science. Grid-Based Problem Solving Environments 2006: 317-333
[c3]
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Yogesh L. Simmhan, Beth Plale, Dennis Gannon, Suresh Marru:
Performance Evaluation of the Karma Provenance Framework for Scientific Workflows. IPAW 2006: 222-236
2005
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Dennis Gannon, Sriram Krishnan, Liang Fang, Gopi Kandaswamy, Yogesh Simmhan, Aleksander Slominski:
On Building Parallel & Grid Applications: Component Technology and Distributed Services. Clust. Comput. 8(4): 271-277 (2005)
[j4]
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Dennis Gannon, Jay Alameda, Octav Chipara, Marcus Christie, Vinayak Dukle, Liang Fang, Matthew Farrellee, Gopi Kandaswamy, Deepti Kodeboyina, Sriram Krishnan, Charles W. Moad, Marlon E. Pierce, Beth Plale, Al Rossi, Yogesh Simmhan, Anuraag Sarangi, Aleksander Slominski, Satoshi Shirasuna, Thomas Thomas:
Building Grid Portal Applications From a Web Service Component Architecture. Proc. IEEE 93(3): 551-563 (2005)
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Yogesh Simmhan, Beth Plale, Dennis Gannon:
A survey of data provenance in e-science. SIGMOD Rec. 34(3): 31-36 (2005)
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Dennis Gannon, Beth Plale, Marcus Christie, Liang Fang, Yi Huang, Scott Jensen, Gopi Kandaswamy, Suresh Marru, Sangmi Lee Pallickara, Satoshi Shirasuna, Yogesh Simmhan, Aleksander Slominski, Yiming Sun:
Service Oriented Architectures for Science Gateways on Grid Systems. ICSOC 2005: 21-32
2004
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Dennis Gannon, Sriram Krishnan, Liang Fang, Gopi Kandaswamy, Yogesh Simmhan, Aleksander Slominski:
On Building Parallel & Grid Applications: Component Technology and Distributed Services. CLADE 2004: 44
2002
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Dennis Gannon, Randall Bramley, Geoffrey C. Fox, Shava Smallen, Al Rossi, Rachana Ananthakrishnan, Felipe Bertrand, Kenneth Chiu, Matt Farrellee, Madhusudhan Govindaraju, Sriram Krishnan, Lavanya Ramakrishnan, Yogesh Simmhan, Aleksander Slominski, Yu Ma, Caroline Olariu, Nicolas Rey-Cenvaz:
Programming the Grid: Distributed Software Components, P2P and Grid Web Services for Scientific Applications. Clust. Comput. 5(3): 325-336 (2002)
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Sriram Krishnan, Randall Bramley, Dennis Gannon, Rachana Ananthakrishnan, Madhusudhan Govindaraju, Aleksander Slominski, Yogesh Simmhan, Jay Alameda, Richard C. Alkire, Timothy O. Drews, Eric Webb:
The XCAT Science Portal. Sci. Program. 10(4): 303-317 (2002)
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