Efficient server provisioning with end-to-end delay guarantee on multi-tier clusters. - Palden Lama; Xiaobo Zhou 002 (IWQoS, 2009)

Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for End-to-end Delay Guarantee. - Palden Lama; Xiaobo Zhou 002 (MASCOTS, 2010)

aMOSS: Automated Multi-objective Server Provisioning with Stress-Strain Curving. - Palden Lama; Xiaobo Zhou 002 (ICPP, 2011)

PERFUME: Power and performance guarantee with fuzzy MIMO control in virtualized servers. - Palden Lama; Xiaobo Zhou 002 (IWQoS, 2011)

NINEPIN: Non-invasive and energy efficient performance isolation in virtualized servers. - Palden Lama; Xiaobo Zhou 002 (DSN, 2012)

AROMA: automated resource allocation and configuration of mapreduce environment in the cloud. - Palden Lama; Xiaobo Zhou 002 (ICAC, 2012)

Automated and Agile Server Parameter Tuning with Learning and Control. - Yanfei Guo; Palden Lama; Xiaobo Zhou 002 (IPDPS, 2012)

Efficient Server Provisioning with Control for End-to-End Response Time Guarantee on Multitier Clusters. - Palden Lama; Xiaobo Zhou 002 (IEEE Trans. Parallel Distributed Syst., 2012)

pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments. - Palden Lama; Yan Li 005; Ashwin M. Aji; Pavan Balaji; James Dinan; Shucai Xiao; Yunquan Zhang; Wu-chun Feng; Rajeev Thakur; Xiaobo Zhou 002 (ICDCS, 2013)

V-Cache: Towards Flexible Resource Provisioning for Multi-tier Applications in IaaS Clouds. - Yanfei Guo; Palden Lama; Jia Rao; Xiaobo Zhou 002 (IPDPS, 2013)

Autonomic performance and power control for co-located Web applications on virtualized servers. - Palden Lama; Yanfei Guo; Xiaobo Zhou 002 (IWQoS, 2013)

Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for Percentile-Based Delay Guarantee. - Palden Lama; Xiaobo Zhou 002 (ACM Trans. Auton. Adapt. Syst., 2013)

User-Centric Heterogeneity-Aware MapReduce Job Provisioning in the Public Cloud. - Eric Pettijohn; Yanfei Guo; Palden Lama; Xiaobo Zhou 002 (ICAC, 2014)

Automated and Agile Server ParameterTuning by Coordinated Learning and Control. - Yanfei Guo; Palden Lama; Changjun Jiang; Xiaobo Zhou 002 (IEEE Trans. Parallel Distributed Syst., 2014)

Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment. - Dazhao Cheng; Palden Lama; Changjun Jiang; Xiaobo Zhou 002 (ICDCS, 2015)

Low-latency software defined network for high performance clouds. - Paul Rad; Rajendra V. Boppana; Palden Lama; Gilad Berman; Mo M. Jamshidi (SoSE, 2015)

Coordinated Power and Performance Guarantee with Fuzzy MIMO Control in Virtualized Server Clusters. - Palden Lama; Xiaobo Zhou 002 (IEEE Trans. Computers, 2015)

Autonomic Performance and Power Control for Co-Located Web Applications in Virtualized Datacenters. - Palden Lama; Yanfei Guo; Changjun Jiang; Xiaobo Zhou 002 (IEEE Trans. Parallel Distributed Syst., 2016)

Taming Performance Hotspots in Cloud Storage with Dynamic Load Redistribution. - Ridwan Rashid Noel; Palden Lama (CLOUD, 2017)

MPLEX: In-Situ Big Data Processing with Compute-Storage Multiplexing. - Joy Rahman; Palden Lama (MASCOTS, 2017)

Cross-Platform Resource Scheduling for Spark and MapReduce on YARN. - Dazhao Cheng; Xiaobo Zhou 002; Palden Lama; Jun Wu 006; Changjun Jiang (IEEE Trans. Computers, 2017)

Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud. - Palden Lama; Shaoqi Wang; Xiaobo Zhou 002; Dazhao Cheng (IPDPS, 2018)

Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters. - Dazhao Cheng; Xiaobo Zhou 002; Palden Lama; Mike Ji; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2018)

Towards Self-Managing Cloud Storage with Reinforcement Learning. - Ridwan Rashid Noel; Rohit Mehra; Palden Lama (IC2E, 2019)

Predicting the End-to-End Tail Latency of Containerized Microservices in the Cloud. - Joy Rahman; Palden Lama (IC2E, 2019)

Performance Assessment of mHealth Apps. - Gerson Rodriguez; Devasena Inupakutika; Sahak Kaghyan; David Akopian; Palden Lama; Patricia Chalela; Amelie G. Ramirez (PerCom Workshops, 2020)

Robust Resource Scaling of Containerized Microservices with Probabilistic Machine learning. - Peng Kang; Palden Lama (UCC, 2020)

SLO-aware Virtual Rebalancing for Edge Stream Processing. - Peng Kang; Palden Lama; Samee U. Khan (IC2E, 2021)

Performance Testing for Cloud Computing with Dependent Data Bootstrapping. - Sen He 002; Tianyi Liu; Palden Lama; Jaewoo Lee; In Kee Kim; Wei Wang 054 (ASE, 2021)

KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge. - Xue Li; Peng Kang; Jordan Molone; Wei Wang 054; Palden Lama (CCGRID, 2022)

On the Performance of Cloud-Based mHealth Applications: A Methodology on Measuring Service Response Time and a Case Study. - Devasena Inupakutika; Gerson Rodriguez; David Akopian; Palden Lama; Patricia Chalela; Amelie G. Ramirez (IEEE Access, 2022)

Detection of Ransomware Attacks Using Processor and Disk Usage Data. - Kumar Thummapudi; Palden Lama; Rajendra V. Boppana (IEEE Access, 2023)

High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching. - Peng Kang; Samee U. Khan; Xiaobo Zhou 002; Palden Lama (CCGrid, 2024)

Towards Live Detection of Ransomware Attacks. - Kumar Thummapudi; Rajendra V. Boppana; Palden Lama (CSR, 2024)

Attack-Specific Feature Construction to Detect Malicious TCP Flows. - Vasudha Vedula; Rajendra V. Boppana; Palden Lama (CSR, 2024)

EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-Driven Generalized Converting Autoencoder. - Hasanul Mahmud; Palden Lama; Kevin Desai; Sushil K. Prasad (ICPR (2), 2024)

A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge. - Hasanul Mahmud; Peng Kang; Kevin Desai; Palden Lama; Sushil K. Prasad (IPDPS (Workshops), 2024)