a Professor in the
Computer Science and Engineering
at the University of Minnesota, Twin
interests are in the areas of Operating Systems and Distributed Systems.
I co-lead the
Distributed Computing Systems Group in the department.
My research has focused on resource management and performance in distributed systems, such as Clouds, Data centers, Edge computing, and Mobile platforms, with the goal of achieving higher reliability, scalability, and manageability. Much of my focus in recent years has been on designing and optimizing systems for data-driven computing in the cloud and at the edge, especially for data generated at the edge of the network (near the users). This focus has involved research in geo-distributed data analytics, social analytics, and mobile and IoT data analytics.
Currently, I am working on a number of projects related to these areas, investigating issues in
data-intensive computing, edge computing, mobile and IoT systems, and social computing.
I recently served as the Program Co-chair for
IEEE IC2E 2018 and ACM HPDC 2018 conferences. I was also the TPC Vice Co-chair for the Edge Computing Track for IEEE ICDCS 2018.
Office: Rm 4-209, Keller Hall
Ph: (612) 626-1283
Fax: (612) 625-0572
Email: chandra AT umn DOT edu
Note: Email is the best way to contact me as I check it frequently. Mailing Address:
Department of Computer Science and Engineering
University of Minnesota
4-192 Keller Hall,
200 Union St. SE
Minneapolis, MN 55455
We received a new NSF grant for a project on building an edge-based IoT framework. Thanks, NSF!
Our paper on Wiera geo-distributed storage system accepted for publication in IEEE TPDS.
PhD students Kwangsung Oh and Albert Jonathan pass their PhD thesis defense. Congrats, Kwangsung and Albert!
Our papers on DLion, DeCaf and Constellation systems presented at HotCloud and HotEdge workshops.
Our paper on MESH Hypergraph processing system nominated as a Best Paper Finalist in IC2E'19.
Our paper on TTL-based streaming analytics presented at SIGMETRICS'19.
Our paper on multi-query optimization in wide-area stream processing presented at SOCC'18.
Our posters on deep learning and streaming analytics in geo-distributed environments presented at SOCC'18 and OSDI'18 respectively.
Our paper on adaptability in wide-area stream processing presented at HotCloud'18.
Source code for TensorFlow-based decentralized distributed deep learning framework released.
Recent alum Benjamin Heintz (Ph.D. 2016) was honored as a runner-up for SPEC’s 2017 Kaivalya Dixit Distinguished Dissertation Award. Congrats, Ben!
Our paper on Locality-Aware Load Sharing in Mobile Cloud Computing presented at UCC 2017.
The source code for Wiera, our geo-distributed storage system,
Prof. Chandra is PI on a new collaborative NSF grant on dispersed real-time data analytics. Thanks, NSF!
Our paper on optimizing timeliness and cost in geo-distributed streaming analytics accepted for publication in IEEE TCC.
Our paper on Nebula Distributed Edge Cloud accepted for publication in IEEE TPDS.
The source code for MESH, our distributed hypergraph analysis system,
Our paper on TripS geo-distributed data placement framework presented at SYSTOR 2017.
Our poster on IoT/edge computing framework presented at IoTDI 2017.
Abhishek Chandra joins the Editorial Board for IEEE Transactions on Cloud Computing (TCC).
PhD student Benjamin Heintz passes his PhD thesis defense. Congrats, Ben!
We received a new NSF grant for a project on building systems for geo-centric applications. Thanks, NSF!