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Computer Science

D-Index
34
Citations
5522
World Ranking
12102
National Ranking
4927

Overview

Aurojit Panda is affiliated with New York University in the United States. Their research contributions span various aspects of computer science, with a focus on topics related to networks, cloud computing, software systems, and machine learning.

Their recent publications include:

  • Revitalizing the public internet by making it extensible, 2021, ACM SIGCOMM Computer Communication Review
  • Network architecture in the age of programmability, 2020, ACM SIGCOMM Computer Communication Review
  • Isolation mechanisms for high-speed packet-processing pipelines, 2021, arXiv (Cornell University)
  • Fine-Grained Re-Execution for Efficient Batched Commit of Distributed Transactions, 2023, Proceedings of the VLDB Endowment
  • EGGS: Sparsity-Specific Code Generation, 2020, Computer Graphics Forum

The frequent co-authors of Panda include:

  • Scott Shenker
  • Anirudh Sivaraman
  • Jinkun Lin
  • Arvind Krishnamurthy
  • Gianni Antichi

Panda's publication record shows regular contributions to specific venues which include:

  • arXiv (Cornell University)
  • ACM SIGCOMM Computer Communication Review
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the VLDB Endowment
  • Computer Graphics Forum

Their main field of study is Computer Science, with notable specialization in subfields such as:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Software

Panda's work covers several key research topics including:

  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Software System Performance and Reliability
  • Internet Traffic Analysis and Secure E-voting
  • Interconnection Networks and Systems
  • Software Testing and Debugging Techniques
  • Machine Learning and Data Classification

Best Publications

  • BlinkDB: queries with bounded errors and bounded response times on very large data

    Sameer Agarwal;Barzan Mozafari;Aurojit Panda;Henry Milner

  • E2: a framework for NFV applications

    Shoumik Palkar;Chang Lan;Sangjin Han;Keon Jang

  • NetBricks: taking the V out of NFV

    Aurojit Panda;Sangjin Han;Keon Jang;Melvin Walls

  • Revisiting network support for RDMA

    Radhika Mittal;Alexander Shpiner;Aurojit Panda;Eitan Zahavi

  • SoftNIC: A Software NIC to Augment Hardware

    Sangjin Han;Keon Jang;Aurojit Panda;Shoumik Palkar

  • Network support for resource disaggregation in next-generation datacenters

    Sangjin Han;Norbert Egi;Aurojit Panda;Sylvia Ratnasamy

  • Ivy: safety verification by interactive generalization

    Oded Padon;Kenneth L. McMillan;Aurojit Panda;Mooly Sagiv

  • Rollback-Recovery for Middleboxes

    Justine Sherry;Peter Xiang Gao;Soumya Basu;Aurojit Panda

  • Drizzle: Fast and Adaptable Stream Processing at Scale

    Shivaram Venkataraman;Aurojit Panda;Kay Ousterhout;Michael Armbrust

  • Troubleshooting blackbox SDN control software with minimal causal sequences

    Colin Scott;Andreas Wundsam;Barath Raghavan;Aurojit Panda

  • Can far memory improve job throughput

    Emmanuel Amaro;Christopher Branner-Augmon;Zhihong Luo;Amy Ousterhout

  • Blink and it's done: interactive queries on very large data

    Sameer Agarwal;Anand P. Iyer;Aurojit Panda;Samuel Madden

  • Ensuring connectivity via data plane mechanisms

    Junda Liu;Aurojit Panda;Ankit Singla;Brighten Godfrey

  • The power of choice in data-aware cluster scheduling

    Shivaram Venkataraman;Aurojit Panda;Ganesh Ananthanarayanan;Michael J. Franklin

  • SCL: simplifying distributed SDN control planes

    Aurojit Panda;Wenting Zheng;Xiaohe Hu;Arvind Krishnamurthy

  • Troubleshooting blackbox SDN control software with minimal causal sequences

    Unknown

  • The case for tiny tasks in compute clusters

    Kay Ousterhout;Aurojit Panda;Joshua Rosen;Shivaram Venkataraman

  • ResQ: enabling SLOs in network function virtualization

    Amin Tootoonchian;Aurojit Panda;Chang Lan;Melvin Walls

  • A High Performance Packet Core for Next Generation Cellular Networks

    Zafar Ayyub Qazi;Melvin Walls;Aurojit Panda;Vyas Sekar

  • CAP for networks

    Aurojit Panda;Colin Scott;Ali Ghodsi;Teemu Koponen

  • A new approach to interdomain routing based on secure multi-party computation

    Debayan Gupta;Aaron Segal;Aurojit Panda;Gil Segev

  • BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data

    Sameer Agarwal;Aurojit Panda;Barzan Mozafari;Samuel Madden

Frequent Co-Authors

Scott Shenker
Scott Shenker University of California, Berkeley
Sylvia Ratnasamy
Sylvia Ratnasamy University of California, Berkeley
Mooly Sagiv
Mooly Sagiv Tel Aviv University
Ion Stoica
Ion Stoica University of California, Berkeley
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington
Michael Schapira
Michael Schapira Hebrew University of Jerusalem
Teemu Koponen
Teemu Koponen DELL (United States)
Sameer Agarwal
Sameer Agarwal Google (United States)
Shivaram Venkataraman
Shivaram Venkataraman University of Wisconsin–Madison

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