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SC Conference - Activity Details



Server-Storage Virtualization: Integration and Load Balancing in Data Centers

Authors:
Aameek Singh  (IBM Almaden Research Center)
Madhukar Korupolu  (IBM Almaden Research Center)
Dushmanta Mohapatra  (Georgia Institute of Technology)
Papers Session
Grid Virtualization and Overlays
Thursday,  02:30PM - 03:00PM
Room Ballroom F
Abstract:
We describe the design of an agile data center with integrated server and storage virtualization technologies. Such data centers form a key building block for new cloud computing architectures. We also show how to leverage this integrated agility for non-disruptive load balancing in data centers across multiple resource layers - servers, switches, and storage. We propose a novel load balancing algorithm called VectorDot for handling the hierarchical and multi-dimensional resource constraints in such systems. The algorithm, inspired by the successful Toyoda method for multi-dimensional knapsacks, is the first of its kind. We evaluate our system on a range of synthetic and real data center testbeds comprising of VMware ESX servers, IBM SAN Volume Controller, Cisco and Brocade switches. Experiments under varied conditions demonstrate the end-to-end validity of our system and the ability of VectorDot to efficiently remove overloads on server, switch, and storage nodes.
The full paper can be found in the IEEE Xplore Digital Library and ACM Digital Library
   IEEE Computer Society  /  ACM     2 0   Y E A R S   -   U N L E A S H I N G   T H E   P O W E R   O F   H P C