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I am a third-year PhD student in the Department of Computer Science at Cornell University where I am advised by Prof. Rachit Agarwal. My research interests are broadly in the areas of Systems & Networking.

Before this I was a Research Fellow in the Systems group at Microsoft Research India, where I worked with Dr. Muthian Sivathanu & Dr. Kaushik Rajan on improving the efficiency of datacenter scale Big-data analytics processing by co-designing the query engine with the underlying storage system.

I obtained my undergraduate degree in Computer Science & Engineering at IIT Guwahati, where I worked on practical & adaptive peer-assisted video streaming with Dr. T Venkatesh.

Updates

• [May'22] NetChannel accepted to SIGCOMM'22!
• [Mar'22] Shortstack accepted to OSDI'22!
• [Feb'22] Meta PhD Fellowship Finalist!
• [May'21] Understanding Host Network Stack Overheads accepted to SIGCOMM'21!
• [Mar'21] blk-switch accepted to OSDI'21!
• [Mar'20] SQL-on-Disaggregated-Storage covered in the Morning Paper
• [Dec'19] SQL-on-Disaggregated-Storage accepted to NSDI 2020!
• [Aug'19] Started at Cornell.
• [Jun'19] Instalytics fast-tracked to ACM Transactions on Storage 2020!

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Publications

Conference papers

• NetChannel: Disaggregating the Host Network Stack [PDF]
  Qizhe Cai, Midhul Vuppalapati, Jaehyun Hwang, Christos Kozyrakis, Rachit Agarwal
  ACM SIGCOMM 2022


• Shortstack: Distributed, Fault-tolerant, Oblivious Data Access [PDF] [BibTeX]
  Midhul Vuppalapati*, Kushal Babel*, Anurag Khandelwal, Rachit Agarwal
  USENIX OSDI 2022


• Understanding Host Network Stack Overheads [PDF] [BibTeX]
  Qizhe Cai, Shubham Chaudhary, Midhul Vuppalapati, Jaehyun Hwang, Rachit Agarwal
  ACM SIGCOMM 2021


• Rearchitecting Linux Storage Stack for us latency and High Throughput [PDF] [BibTeX]
  Jaehyun Hwang, Midhul Vuppalapati, Simon Peter, Rachit Agarwal
  USENIX OSDI 2021


• Building an Elastic Query Engine on Disaggregated Storage [PDF] [BibTeX] [Talk]
  Midhul Vuppalapati, Justin Miron, Rachit Agarwal, Dan Truong, Ashish Motivala, Thierry Cruanes
  USENIX NSDI 2020


• INSTalytics: Cluster Filesystem Co-design for Big-data Analytics [PDF] [BibTeX] [Talk]
  Muthian Sivathanu, Midhul Vuppalapati, Bhargav Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
  USENIX FAST 2019
  Fast tracked to ACM Transactions on Storage 2020

(* equal contribution)

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Contact

Please feel free to contact me via email or step-by my office if you're at Cornell.

Email

midhul [at] cs [dot] cornell [dot] edu

Address

440, Bill and Melinda Gates Hall,
107 Hoy Rd,
Ithaca, NY 14853

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Schedule