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Anurag Khandelwal

About

I am an Assistant Professor at the Department of Computer Science at Yale University. My research interests span distributed systems, networking, and algorithms.

Recent News

[2024]

[2023]

[2022]

[2021]

[2020]

Research

OS Stack for Disaggregated & Serverless Architectures:

  • Karma: Resource Allocation for Dynamic Demands [OSDI'23]
  • Prefetching Using Principles of Hippocampal-Neocortical Interaction [HotOS'23]
  • Shepherd: Serving DNNs in the Wild [NSDI'23]
  • Jiffy: Elastic Far-Memory for Stateful Serverless Analytics [EuroSys'22] [Code]
  • MIND: In-Network Memory Management for Disaggregated Data Centers [SOSP'21] [Code]
  • What serverless computing is and should become: the next phase of cloud computing [CACM'21]
  • Caerus: NIMBLE Task Scheduling for Serverless Analytics [NSDI'21]
  • Le Taureau: Deconstructing the Serverless Landscape & A Look Forward [SIGMOD'20]
  • A Berkeley View on Serverless Computing [UC Berkeley Tech Report]

Secure cloud systems:

High-performance storage stacks for automated data:

  • TRINITY: A Fast Compressed Multi-attribute Data Store [EuroSys'24]
  • SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing [ISCA'23]
  • Distributed Monitoring & Diagnosis Stack for High Speed Networks [NSDI'19], [Code]

(Prior work) Queries on compressed data:

  • Succinct: Enabling Queries on compressed data [NSDI'15], [Code: C++], [Code: Java]
  • BlowFish: Dynamic Storage-Performance Tradeoff in Data Stores [NSDI'16]
  • Sprint: Regular Expression Queries on Compressed Data [Tech Report], [Code]
  • ZipG: Serving Queries on Compressed Graphs [SIGMOD'17]

Research Group

Postdocs:

PhD Students:

Undergraduates:

Teaching

CPSC 433/533: Computer Networks

CPSC 438/538: Big Data Systems

Service

Program Committees:

  • 2023: CoNEXT Poster Co-Chair
  • 2022: NSDI, HotNets, EuroSys
  • 2021: JSys, NSDI
  • 2020: SIGCOMM (Poster/Demo, SRC), ASPLOS (EPC), NSDI