Rice University

Events at Rice


Electrical and Computer Engineering
Dean of Engineering
Faculty Host: Ashu Sabharwal

Speaker: Vaneet Aggarwal

ECE Seminar Series: Cloud Storage Systems: Latency, Reliability, and Cost , Vaneet Aggarwal (698/699)

Monday, April 17, 2017
4:00 PM  to 5:00 PM

1064  Duncan Hall
Rice University
6100 Main St
Houston, Texas, USA

Consumers are engaged in more social networking and E-commerce activities these days and are increasingly storing their documents and media in the online storage. Businesses are relying on Big Data analytics for business intelligence and are migrating their traditional IT infrastructure to the cloud. These trends cause the online data storage demand to rise faster than Moore's Law. Erasure coding techniques are used widely for distributed data storage since they provide space-optimal data redundancy to protect against data loss. Cost-effective, network-accessible storage is a strategic infrastructural capability that can serve many businesses. These customers, however, have very diverse requirements of latency, reliability, cost, security etc. In this talk, I will describe how to characterize latency, reliability, cost, and the trade-offs involved in these. In order to characterize latency, we give and analyze a novel scheduling algorithm. Further, I will present a novel concept of functional caching in storage systems and describe its advantages as compared to duplication in current caching systems. I will then describe that limited bandwidth between data centers allow us to design new coding schemes that help improve mean time to data loss of the system by 10^20 for (51,30) erasure code as compared to a standard Reed-Solomon code. Finally, I will focus on joint optimization of customer requirements, present new approaches for content placement and content access, and validate the results using implementations on an open source distributed file system on a public test grid.

Biography of Vaneet Aggarwal:
Vaneet Aggarwal received the B.Tech. degree from the Indian Institute of Technology Kanpur, Kanpur, India, in 2005 and the M.A. and Ph.D. degrees from Princeton University, Princeton, NJ, USA, in 2007 and 2010, respectively, all in electrical engineering. He is currently an Assistant Professor in Operations Research at Purdue University. He is also affiliated with Computational Science and Engineering Interdisciplinary Program at Purdue. Prior to that, he was a Senior Member of the Technical Staff - Research for about five years with AT&T Labs Research, Bedminster, NJ, USA. Dr. Aggarwal has been an adjunct faculty at Columbia University for two years. His research interests are in the applications of statistical, algebraic, and optimization techniques to communications and networking, distributed computing and storage, and machine learning. Dr. Aggarwal received the Princeton University's Porter Ogden Jacobus Honorific Fellowship in 2009, AT&T Vice President Excellence Award in 2013, and AT&T Senior Vice President Excellence Award in 2014. Dr. Aggarwal is Senior Member of IEEE, and has been a Program Cochair for 3rd International Workshop of Software-Defined Data Communications and Storage (SDDCS) 2017. He is serving as an Associate Editor for the IEEE Transactions on Communications and the IEEE Transactions on Green Communications and Networking.

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