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Server-storage virtualization: integration and load balancing in data centers

Published: 15 November 2008 Publication History

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.

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cover image ACM Conferences
SC '08: Proceedings of the 2008 ACM/IEEE conference on Supercomputing
November 2008
739 pages
ISBN:9781424428359

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Published: 15 November 2008

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SC '08 Paper Acceptance Rate 59 of 277 submissions, 21%;
Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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  • (2018)Load monitoring and system-traffic-aware live VM migration-based load balancing in cloud data center using graph theoretic solutionsCluster Computing10.5555/3287988.328800921:3(1623-1638)Online publication date: 1-Sep-2018
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