Anwesha Das

Orcid: 0000-0003-4441-6449

Affiliations:

University of Chicago, Department of Computer Science, Chicago, IL, USA
Stanford University, SLAC National Accelerator Laboratory, Menlo Park, CA, USA
North Carolina State University (NCSU), Raleigh, NC, USA
Indian Institute of Technology (IIT) Bombay, Mumbai, MH, India

According to our database¹, Anwesha Das authored at least 11 papers between 2012 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

WASL: Harmonizing Uncoordinated Adaptive Modules in Multi-Tenant Cloud Systems.

[BibT_eX]

[DOI]

Ahsan Pervaiz

Anwesha Das

Vedant Kodagi

Muhammad Husni Santriaji

Henry Hoffmann

Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

Flexible Windowing for Correlation-Aware Ranking in Anomalous Environments.

[BibT_eX]

[DOI]

Anwesha Das

Henry Hoffmann

Alex Aiken

Proceedings of the IEEE International Conference on Data Mining, 2025

2023

Prolego: Time-Series Analysis for Predicting Failures in Complex Systems.

[BibT_eX]

[DOI]

Anwesha Das

Alex Aiken

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Performance Variability and Causality in Complex Systems.

[BibT_eX]

[DOI]

Anwesha Das

Daniel Ratner

Alex Aiken

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022

2021

Systemic Assessment of Node Failures in HPC Production Platforms.

[BibT_eX]

[DOI]

Anwesha Das

Frank Mueller

Barry Rountree

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Aarohi: Making Real-Time Node Failure Prediction Feasible.

[BibT_eX]

[DOI]

Anwesha Das

Frank Mueller

Barry Rountree

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018

KeyValueServe†: Design and performance analysis of a multi-tenant data grid as a cloud service.

[BibT_eX]

[DOI]

Anwesha Das

Arun Iyengar

Frank Mueller

Concurr. Comput. Pract. Exp., 2018

Doomsday: predicting which node will fail when on supercomputers.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

Desh: deep learning for system health prediction of lead times to failure in HPC.

[BibT_eX]

[DOI]

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2016

Performance Analysis of a Multi-tenant In-Memory Data Grid.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2012

Dynamic resource management using virtual machine migrations.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2012

Anwesha Das

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Bibliography

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