Anshul Gandhi

  


      
Anshul Gandhi

Assistant Professor
Department of Computer Science
Department of Applied Mathematics & Statistics (affiliate appointment)
Stony Brook University

Office: 347, Computer Science.  Phone: (631) 632-8475.
Email: anshul (at) cs (dot) stonybrook (dot) edu
Lab: 336, Computer Science.  PACE Lab.

CV: [pdf] (updated: April 2016)

[News]   [Background]   [Research Interests]   [Publications]   [Patents]   [Teaching]   [Service]   [PACE Lab]

I am an Assistant Professor in the Department of Computer Science at Stony Brook University, where I lead the PACE Lab.
I am broadly interested in systems and performance modeling. My research aims to improve system performance via analytical tools.
My recent projects include cost and performance optimization for cloud applications (ongoing, with IBM) and power management in data centers (PhD thesis).
Please see my research interests and publications below for more information.
Feel free to email me if you want to learn more about my research and are interested in joining my group.

News:

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September 2016: Received a Microsoft Azure Research Award. Thanks Microsoft!
September 2016: NSF funds our heterogeneity-aware load balancing work. Thanks NSF!
August 2016: General Co-Chair for MIDDLEWARE 2017! Conference website will be live soon.
August 2016: Publicity Co-Chair for ICAC 2017.
August 2016: One poster accepted at SOCC 2016. Congrats Ahmad!
July 2016: Two papers accepted at IGSC 2016. Congrats Wajahat!
July 2016: I will be co-chairing tutorials for Sigmetrics 2017! Please let me know if you are interested in contributing.
June 2016: On the program committee for IC2E 2017.
June 2016: PACE Lab website is now up.
May 2016: NSF funds our elastic memory caching tiers work. Thanks NSF!
April 2016: Patent on cloud autoscaling with IBM issued!
April 2016: On the program committee for ICCAC 2016, IGSC 2016, and GPCDP 2016.
March 2016: On the program committee for ICCCN 2016, SummerSim 2016, and DIDC 2016.
February 2016: One paper and one poster accepted at Sigmetrics 2016!
February 2016: Received a Google Research Award (Co-PI). Thanks Google!
January 2016: On the program committee for DCC 2016 and QEST 2016.
[more]

Background:

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I was a Post Doctoral Researcher in the Cloud Optimization and Analytics group at the IBM T. J. Watson Research Center from 2013 to 2014.
I completed my Ph.D. in 2013 from the Computer Science Department at Carnegie Mellon University where I was advised by Prof. Mor Harchol-Balter.
My Ph.D. thesis, Dynamic Server Provisioning for Data Center Power Management, was awarded the 2013 SPEC Distinguished Dissertation Award.
I completed my undergraduate studies in 2007 from the Department of Computer Science and Engineering at Indian Institute of Technology, Kanpur.

Research Interests:

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I am interested in applying theory to systems. In particular, my research aims to leverage mathematical tools such as {Performance Modeling,Queueing Theory,Control Theory} to analyze the behavior of systems such as {Distributed Systems,Cloud,Data Centers} and to optimize metrics of interest such as {Performance,Power,Energy}.

I am currently working with IBM Research on applying queueing theory and control theory to provide performance guarantees for cloud-deployed applications (via scale-out and scale-up in OpenStack).

Some of my recent projects include:

Publications:      [Google Scholar]  [DBLP]  [ResearchGate]

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Patents:

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Teaching:

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Service:

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