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May 22, 2013: Prof. Adam Wierman, Caltech

The cloud marketplace has evolved into a large, highly complex economic system made up of a variety of services. As a result of this complicated marketplace, the performance delivered to users by cloud services depends on the the resource allocation design of the service itself and the strategic incentives resulting from the large-scale multi-tiered economic interactions among cloud providers. In this talk I will present work developing and analyzing some new models capturing this multi-tiered interaction in a manner that exposes the interplay of congestion, pricing, capacity provisioning, and performance. This talk will present joint work with Jonatha Anselmi, Danilo Ardagna, Urtzi Ayesta, Yunjian Xu, and Zichao Yang.

Adam Wierman is a Professor in the Department of Computing and Mathematical Sciences at the California Institute of Technology, where he is a member of the Rigorous Systems Research Group (RSRG). His research interests center around resource allocation and scheduling decisions in computer systems and services. More specifically, his work focuses both on developing analytic techniques in stochastic modeling, queueing theory, scheduling theory, and game theory, and applying these techniques to application domains such as energy-efficient computing, data centers, social networks, and electricity markets. He received the 2011 ACM SIGMETRICS Rising Star award, and has been co-recipient of best paper awards at ACM SIGMETRICS, IEEE INFOCOM, IFIP Performance, IEEE Green Computing Conference, and ACM GREENMETRICS.