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ORCID23rd CCGRID 2023: Bangalore, India - Workshops
- 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 - Roshni Chakraborty, Nilotpal Chakraborty:
TwMiner: Mining Relevant Tweets of News Articles. 1-3 - Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo
, Siamak Layeghy, Marius Portmann:
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. 1-7 - Jack Beerman, David Berent, Zach Falter, Suman Bhunia:
A Review of Colonial Pipeline Ransomware Attack. 8-15 - Mohamed Amine Ferrag, Mérouane Debbah, Muna Al-Hawawreh:
Generative AI for Cyber Threat-Hunting in 6G-enabled IoT Networks. 16-25 - Reham Alsabet, Danda B. Rawat:
Securing Multi-IRS Aided mmWave Communications Against Eavesdropping and Jamming in Vehicular Cyber Physical Systems. 26-32 - Nancy Victor, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Fasial Mohammed Alotaibi, Thippa Reddy Gadekallu, Rutvij H. Jhaveri:
FL-PSO: A Federated Learning approach with Particle Swarm Optimization for Brain Stroke Prediction. 33-38 - Debashis Das, Sourav Banerjee, Rakhi Chakraborty, Kousik Dasgupta, Pushpita Chatterjee, Uttam Ghosh:
A Blockchain-based Security Management Framework for Cyber-Physical Systems. 39-44 - Sonali Samal, Thippa Reddy Gadekallu, Pankaj Rajput, Yudong Zhang, Bunil Kumar Balabantaray:
SAS-UNet: Modified encoder-decoder network for the segmentation of obscenity in images. 45-51 - Pranav Kumar Singh, Maharaj Brahma, Panchanan Nath, Uttam Ghosh:
A Study on Secure Network Slicing in 5G. 52-61 - Abdul Rehman Javed, Jerry Chun-Wei Lin, Gautam Srivastava:
Cognitive Health Assessment of Decentralized Smart home Activities using Federated Learning. 62-68 - Pushpita Chatterjee, Debashis Das, Danda B. Rawat:
Next Generation Financial Services: Role of Blockchain enabled Federated Learning and Metaverse. 69-74 - Sunil K. Ponugumati, Kamran Ali, Aboubaker Lasebae, Zaid Zahoor, Anum Tanveer Kiyani, Ali Khoshkholghi, Maddu Latha:
Efficient Design for Smart Environment Using Raspberry Pi with Blockchain and IoT (BRIoT). 75-80 - Javier Rojo, José García-Alonso, Javier Berrocal, Luca Foschini, Paolo Bellavista, Juan Hernández, Juan Manuel Murillo:
Blockchains' federation: Developing Personal Health Trajectory-centered health systems. 81-88 - Ali Gohar, Chunming Rong, Sanghwan Lee:
An Isolation-aware Online Virtual Network Embedding via Deep Reinforcement Learning. 89-95 - Abdullahi Chowdhury, Ranesh Naha, Shahriar Kaisar, Mohammad Ali Khoshkholghi, Kamran Ali, Antonino Galletta:
Information Fusion-based Cybersecurity Threat Detection for Intelligent Transportation System. 96-103 - Mingchu Li, Wenteng Zhang, Dexin Xia:
Transformer Inference Acceleration in Edge Computing Environment. 104-109 - P. Haribabu, G. V. K. Sasirekha, Madhav Rao, Jyotsna Bapat, Debabrata Das:
RISC-V Core for Ethical Intelligent IoT Edge: Analysis & Design Choice. 110-117 - Gabriele Morabito, Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Giuseppe Di Modica, Massimo Villari:
Securing Serverless Workflows on the Cloud Edge Continuum. 118-124 - Pankaj Sahu, Shubhro Roy, Mangesh S. Gharote, Sachin Lodha:
Web Services Relocation and Reallocation for Data Residency Compliance. 125-132 - Dongdong Zhao, Songsong Liao, Huanhuan Li, Jianwen Xiang:
Competitor Attack Model for Privacy-Preserving Deep Learning. 133-140 - Anagha Ramesh, Ramza Haris, Sumedha Arora:
ML based D3 R: Detecting DDoS using Random Forest. 141-146 - Anmol Kumar, Gaurav Somani:
On the timing of applying resource separation during DDoS attacks. 147-152 - Jaime Pizarro Barona, Joseph Avila Alvarez, Carlos Jiménez Farfán, Joangie Márquez Aguilar, Rafael I. Bonilla:
Malware Detection using API Calls Visualisations and Convolutional Neural Networks. 153-159 - Pablo Vazquez Caderno, Feras M. Awaysheh, Yolanda Colino-Sanguino, Laura Rodriguez De La Fuente, Fatima Valdes-Mora, Jose C. Cabaleiro, Tomás F. Pena, David Gallego-Ortega:
OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency. 160-167 - Shubhangi Chaturvedi, Sri Khetwat Saritha, Animesh Chaturvedi:
Spark based Parallel Frequent Pattern Rules for Social Media Data Analytics. 168-175 - Mayank Patel, Minal Bhise:
MUAR: Maximizing Utilization of Available Resources for Query Processing. 176-183 - Vikas Singh, Neha Singh, Mainak Adhikari:
Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework. 184-191 - Hengcheng Zhou:
Information-Theoretically Secure Multi-Party Linear Regression and Logistic Regression. 192-199 - Sweta Dey, Sujata Pal:
Controlling Air Pollution in Data Centers using Green Data Centers. 200-205 - M. Sowmya, Ankith J. Rai, V. Spoorthi, Md Irfan, Prasad B. Honnavalli, S. Nagasundari:
API Traffic Anomaly Detection in Microservice Architecture. 206-213 - Ákos Nagy, George Amponis, Konstantinos Kyranou, Thomas Lagkas, Alexandros-Apostolos A. Boulogeorgos, Panagiotis G. Sarigiannidis, Vasileios Argyriou:
AI-Powered Interfaces for Extended Reality to Support Remote Maintenance. 214-222 - Tanisha Rathod, Christina Terese Joseph, John Paul Martin:
Improving Industry 4.0 Readiness: Monolith Application Refactoring using Graph Attention Networks. 223-230 - Davide Mulfari, Lorenzo Carnevale, Antonino Galletta, Massimo Villari:
Edge Computing Solutions Supporting Voice Recognition Services for Speakers with Dysarthria. 231-236 - Valeria Lukaj, Francesco Martella, Maria Fazio, Antonino Galletta, Antonio Celesti, Massimo Villari:
Gateway-Based Certification Approach to Include IoT Nodes in a Trusted Edge/Cloud Environment. 237-241 - Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar:
Highly Scalable Large-Scale Asynchronous Graph Processing using Actors. 242-248 - Jyoti, Sriram Kailasam, Aleksey Buzmakov:
ParaDiS: a Parallel and Distributed framework for Significant pattern mining. 249-255 - Vishal Ramesha, Sachin Shankar, Suhas Thalanki, Supreeth Kurpad, Prafullata Auradkar:
BigHOST: Automatic Grading System for Big Data Assignments. 256-262 - Rishabh Kumar, Pankaj Sahu, Shubhro Roy, Sutapa Mondal, Mangesh S. Gharote, Sachin Lodha:
Privacy Regulations-Aware Storage Service Selection in Multi-Cloud. 266-268 - Owen Heckmann, Arun Ravindran:
Evaluating Kubernetes at the Edge for Fault Tolerant Multi-Camera Computer Vision Applications. 269-271 - Kumar M. Santhosh, M. Prabhakar, Goutam Sanyal:
Hierarchical Clustering Architecture for Metaverse Applications. 272-274 - Manish Pandey, Young-Woo Kwon:
Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling. 275-277 - Somin Song, Sahil Suneja, Michael V. Le, Byungchul Tak:
Sequence-based System Call Filtering for Enhanced Container Security, is it beneficial? 278-280 - Martin Straesser, Stefan Geißler, Tobias Hoßfeld, Samuel Kounev:
Power to the Applications: The Vision of Continuous Decentralized Autoscaling. 281-283 - Rui Han, Huarong Xu, Peng Jiang, Xiongwei Jiang, Jiaming Qian:
3D CNN Acceleration using Block Circulant Matrix in Frequency Domain. 284-286 - Dhyey Thummar, Iram Nawab, Sameer G. Kulkarni:
Distributed In-band Network Telemetry. 287-289 - Jize Pang, Lei Gong, Chao Wang, Xuehai Zhou:
Sparse-HeteroCL: From Sparse Tensor Algebra to Highly Customized Accelerators on FPGAs. 290-292 - Fatima Abdullah, Limei Peng, Byungchul Tak:
Query Latency Optimization by Resource-Aware Task Placement in Fog. 293-295 - Kamal Kumar Gola, Shikha Arya:
Satin Bowerbird Optimization-Based Classification Model for Heart Disease Prediction Using Deep Learning in E-Healthcare. 296-298 - Yu Luo, Beth Plale:
Knowledge Enhanced Digital Objects: a Data Lake Approach. 299-301 - Haoran Li, Lei Gong, Chao Wang, Xuehai Zhou:
A flexible dataflow CNN accelerator on FPGA. 302-304 - Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan:
A Lightweight, Mobility-Aware, Geospatial & Temporal Data Store for Multi-UAV Systems. 305-307 - Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. 308-310 - Roshan Singh, Sukumar Nandi:
An Improved PBFT-Based Consensus Protocol for Industrial IoT. 311-312 - Rajiv Sangle, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan:
Comparing the Orchestration of Quantum Applications on Hybrid Clouds. 313-315 - Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara:
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. 316-318 - Mariana Miranda:
Distributed and Dependable Software-Defined Storage Control Plane for HPC. 319-321 - Varad Kulkarni, Ruchi Bhoot, Animesh Baranawal, Yogesh Simmhan:
Enhancing Interval-centric Distributed Computing to Support Incremental Graphs. 322-324 - Muzafar Ahmad Wani, Preeti Malakar:
Importance-driven In situ Analysis and Visualization. 325-327 - Lasani Hussain, Mayank Rawat, Neeraj Kumar Yadav, Sumit Darak, Praveen Tammana, Rinku Shah:
Microservice-based in-network security framework for FPGA NICs. 328-330 - Suman Raj, Yogesh Simmhan:
Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud. 331-333 - Pranjal Naman, Yogesh Simmhan:
Performance Modelling of Graph Neural Networks. 334-336 - Aritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, Krishnendu Chakrabarty:
Privacy-preserving Job Scheduler for GPU Sharing. 337-339 - John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. 340-342 - Meghana Thiyyakat, Subramaniam Kalambur, Dinkar Sitaram:
Scalable, High-Quality Scheduling of Data Center Workloads. 343-345 - Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. 346-348 - Sahil Tyagi:
Scavenger: A Cloud Service for Optimizing Cost and Performance of DL Training. 349-350 - Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan:
To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks. 351-353 - Iram Nawab, Sameer G. Kulkarni:
Toward Next-Generation Distributed Rate-limiters. 354-356 - Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan:
Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. 357-359 - Josef Hammer, Hermann Hellwagner:
Unique Prefix vs. Unique Mask for Minimizing SDN Flows with Transparent Edge Access. 360-362
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last updated on 2025-11-13 21:55 CET by the dblp team
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