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Palden Lama
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2020 – today
- 2024
- [c28]Peng Kang, Samee U. Khan, Xiaobo Zhou, Palden Lama:
High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching. CCGrid 2024: 385-394 - [c27]Vasudha Vedula, Rajendra V. Boppana, Palden Lama:
Attack-Specific Feature Construction to Detect Malicious TCP Flows. CSR 2024: 208-215 - [c26]Kumar Thummapudi, Rajendra V. Boppana, Palden Lama:
Towards Live Detection of Ransomware Attacks. CSR 2024: 458-465 - [c25]Hasanul Mahmud, Palden Lama, Kevin Desai, Sushil K. Prasad:
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-Driven Generalized Converting Autoencoder. ICPR (2) 2024: 463-477 - [c24]Hasanul Mahmud, Peng Kang, Kevin Desai, Palden Lama, Sushil K. Prasad:
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge. IPDPS (Workshops) 2024: 592-599 - [i2]Hasanul Mahmud, Peng Kang, Kevin Desai, Palden Lama, Sushil Prasad:
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge. CoRR abs/2403.07036 (2024) - [i1]Hasanul Mahmud, Kevin Desai, Palden Lama, Sushil Prasad:
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder. CoRR abs/2404.13770 (2024) - 2023
- [j9]Kumar Thummapudi, Palden Lama, Rajendra V. Boppana:
Detection of Ransomware Attacks Using Processor and Disk Usage Data. IEEE Access 11: 51395-51407 (2023) - 2022
- [j8]Devasena Inupakutika, Gerson Rodriguez, David Akopian, Palden Lama, Patricia Chalela, Amelie G. Ramirez:
On the Performance of Cloud-Based mHealth Applications: A Methodology on Measuring Service Response Time and a Case Study. IEEE Access 10: 53208-53224 (2022) - [c23]Xue Li, Peng Kang, Jordan Molone, Wei Wang, Palden Lama:
KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge. CCGRID 2022: 180-189 - 2021
- [c22]Peng Kang, Palden Lama, Samee U. Khan:
SLO-aware Virtual Rebalancing for Edge Stream Processing. IC2E 2021: 126-135 - [c21]Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang:
Performance Testing for Cloud Computing with Dependent Data Bootstrapping. ASE 2021: 666-678 - 2020
- [c20]Gerson Rodriguez, Devasena Inupakutika, Sahak Kaghyan, David Akopian, Palden Lama, Patricia Chalela, Amelie G. Ramirez:
Performance Assessment of mHealth Apps. PerCom Workshops 2020: 1-7 - [c19]Peng Kang, Palden Lama:
Robust Resource Scaling of Containerized Microservices with Probabilistic Machine learning. UCC 2020: 122-131
2010 – 2019
- 2019
- [c18]Ridwan Rashid Noel, Rohit Mehra, Palden Lama:
Towards Self-Managing Cloud Storage with Reinforcement Learning. IC2E 2019: 34-44 - [c17]Joy Rahman, Palden Lama:
Predicting the End-to-End Tail Latency of Containerized Microservices in the Cloud. IC2E 2019: 200-210 - 2018
- [j7]Dazhao Cheng, Xiaobo Zhou, Palden Lama, Mike Ji, Changjun Jiang:
Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters. IEEE Trans. Parallel Distributed Syst. 29(1): 70-82 (2018) - [c16]Palden Lama, Shaoqi Wang, Xiaobo Zhou, Dazhao Cheng:
Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud. IPDPS 2018: 85-94 - 2017
- [j6]Dazhao Cheng, Xiaobo Zhou, Palden Lama, Jun Wu, Changjun Jiang:
Cross-Platform Resource Scheduling for Spark and MapReduce on YARN. IEEE Trans. Computers 66(8): 1341-1353 (2017) - [c15]Ridwan Rashid Noel, Palden Lama:
Taming Performance Hotspots in Cloud Storage with Dynamic Load Redistribution. CLOUD 2017: 42-49 - [c14]Joy Rahman, Palden Lama:
MPLEX: In-Situ Big Data Processing with Compute-Storage Multiplexing. MASCOTS 2017: 43-52 - 2016
- [j5]Palden Lama, Yanfei Guo, Changjun Jiang, Xiaobo Zhou:
Autonomic Performance and Power Control for Co-Located Web Applications in Virtualized Datacenters. IEEE Trans. Parallel Distributed Syst. 27(5): 1289-1302 (2016) - 2015
- [j4]Palden Lama, Xiaobo Zhou:
Coordinated Power and Performance Guarantee with Fuzzy MIMO Control in Virtualized Server Clusters. IEEE Trans. Computers 64(1): 97-111 (2015) - [c13]Dazhao Cheng, Palden Lama, Changjun Jiang, Xiaobo Zhou:
Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment. ICDCS 2015: 359-368 - [c12]Paul Rad, Rajendra V. Boppana, Palden Lama, Gilad Berman, Mo M. Jamshidi:
Low-latency software defined network for high performance clouds. SoSE 2015: 486-491 - 2014
- [j3]Yanfei Guo, Palden Lama, Changjun Jiang, Xiaobo Zhou:
Automated and Agile Server ParameterTuning by Coordinated Learning and Control. IEEE Trans. Parallel Distributed Syst. 25(4): 876-886 (2014) - [c11]Eric Pettijohn, Yanfei Guo, Palden Lama, Xiaobo Zhou:
User-Centric Heterogeneity-Aware MapReduce Job Provisioning in the Public Cloud. ICAC 2014: 137-143 - 2013
- [j2]Palden Lama, Xiaobo Zhou:
Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for Percentile-Based Delay Guarantee. ACM Trans. Auton. Adapt. Syst. 8(2): 9:1-9:31 (2013) - [c10]Palden Lama, Yan Li, Ashwin M. Aji, Pavan Balaji, James Dinan, Shucai Xiao, Yunquan Zhang, Wu-chun Feng, Rajeev Thakur, Xiaobo Zhou:
pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments. ICDCS 2013: 145-154 - [c9]Yanfei Guo, Palden Lama, Jia Rao, Xiaobo Zhou:
V-Cache: Towards Flexible Resource Provisioning for Multi-tier Applications in IaaS Clouds. IPDPS 2013: 88-99 - [c8]Palden Lama, Yanfei Guo, Xiaobo Zhou:
Autonomic performance and power control for co-located Web applications on virtualized servers. IWQoS 2013: 63-72 - 2012
- [j1]Palden Lama, Xiaobo Zhou:
Efficient Server Provisioning with Control for End-to-End Response Time Guarantee on Multitier Clusters. IEEE Trans. Parallel Distributed Syst. 23(1): 78-86 (2012) - [c7]Palden Lama, Xiaobo Zhou:
NINEPIN: Non-invasive and energy efficient performance isolation in virtualized servers. DSN 2012: 1-12 - [c6]Palden Lama, Xiaobo Zhou:
AROMA: automated resource allocation and configuration of mapreduce environment in the cloud. ICAC 2012: 63-72 - [c5]Yanfei Guo, Palden Lama, Xiaobo Zhou:
Automated and Agile Server Parameter Tuning with Learning and Control. IPDPS 2012: 656-667 - 2011
- [c4]Palden Lama, Xiaobo Zhou:
aMOSS: Automated Multi-objective Server Provisioning with Stress-Strain Curving. ICPP 2011: 345-354 - [c3]Palden Lama, Xiaobo Zhou:
PERFUME: Power and performance guarantee with fuzzy MIMO control in virtualized servers. IWQoS 2011: 1-9 - 2010
- [c2]Palden Lama, Xiaobo Zhou:
Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for End-to-end Delay Guarantee. MASCOTS 2010: 151-160
2000 – 2009
- 2009
- [c1]Palden Lama, Xiaobo Zhou:
Efficient server provisioning with end-to-end delay guarantee on multi-tier clusters. IWQoS 2009: 1-9
Coauthor Index
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last updated on 2024-12-13 19:09 CET by the dblp team
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