Dynamic Temporal Workload in Hybrid Data Centers, Energy-Aware Aggregation, and Networking
Intervenant(s) : Deep Medhi (University of Missouri- Kansas City, USA)
Workloads in data centers are highly dynamic. Secondly, data centers are often hybrid in terms of hardware/compute capability. We consider the problem of balancing energy consumption and system cost in hybrid data centers with dynamic temporal workloads. For comparison, we consider three data-center scenarios: all homogeneous, all heterogeneous, mixed clusters. To be able to compute optimal configurations for large scale data centers, we also explore static and dynamic aggregation schemes, which come at the additional cost on energy consumption. Thus, we will discuss the trade-off between energy-aware aggression and the computational cost, and where and how the dynamic scheme helps compared to the static scheme. In addition, we will discuss how this impact placement and routing in a data center environment.
Deep Medhi is Curators' Professor in the Department of Computer Science and Electrical Engineering at the University of Missouri- Kansas City, USA. He received B.Sc. in Mathematics from Cotton College, Gauhati University, India, M.Sc. in Mathematics from the University of Delhi, India, and his Ph.D. in Computer Sciences from the University of Wisconsin-Madison, USA. Prior to joining UMKC in 1989, he was a member of the technical staff at AT&T Bell Laboratories. He was an invited visiting professor at the Technical University of Denmark, a visiting research fellow at Lund Institute of Technology, Sweden, and a Fulbright Senior Specialist. He is the Editor-in-Chief of Springer’s Journal of Network and Systems Management, and is on the editorial board of IEEE/ACM Transactions on Networking, IEEE Transactions on Network and Service Management, and IEEE Communications Surveys & Tutorials. He has published over a hundred papers, and is co-author of the books, Routing, Flow, and Capacity Design in Communication and Computer Networks (2004) and Network Routing: Algorithms, Protocols, and Architectures (2007), both published by Morgan Kaufmann Publishers.
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