Dynamic resource management using virtual machine migrations. - Mayank Mishra; Anwesha Das 001; Purushottam Kulkarni; Anirudha Sahoo (IEEE Commun. Mag., 2012)

Performance Analysis of a Multi-tenant In-Memory Data Grid. - Anwesha Das 001; Frank Mueller 001; Xiaohui Gu; Arun Iyengar (CLOUD, 2016)

Desh: deep learning for system health prediction of lead times to failure in HPC. - Anwesha Das 001; Frank Mueller 001; Charles Siegel; Abhinav Vishnu (HPDC, 2018)

Doomsday: predicting which node will fail when on supercomputers. - Anwesha Das 001; Frank Mueller 001; Paul Hargrove; Eric Roman; Scott B. Baden (SC, 2018)

KeyValueServe†: Design and performance analysis of a multi-tenant data grid as a cloud service. - Anwesha Das 001; Arun Iyengar; Frank Mueller 001 (Concurr. Comput. Pract. Exp., 2018)

Aarohi: Making Real-Time Node Failure Prediction Feasible. - Anwesha Das 001; Frank Mueller 001; Barry Rountree (IPDPS, 2020)

Systemic Assessment of Node Failures in HPC Production Platforms. - Anwesha Das 001; Frank Mueller 001; Barry Rountree (IPDPS, 2021)

Performance Variability and Causality in Complex Systems. - Anwesha Das 001; Daniel Ratner; Alex Aiken (ACSOS-C, 2022)

Prolego: Time-Series Analysis for Predicting Failures in Complex Systems. - Anwesha Das 001; Alex Aiken (ACSOS, 2023)