Control of large scale computing systems

Author:

Diao Yixin1,Hellerstein Joseph L.1,Parekh Sujay1

Affiliation:

1. IBM Thomas J. Watson Research Center, Hawthorne, New York

Abstract

The rapidly increasing scale of computing systems means that it is vitally important to address the scaling challenges in the control of computing systems. We introduce a framework for describing the control problems for large scale computing systems that expand along two dimensions: the scale of the target system and the scale of the policy. Using this framework, we present control architectures that span a range from centralized schemes to distributed solutions. We further identify several research challenges related to issues such as target systems latencies and policy decomposition.

Publisher

Association for Computing Machinery (ACM)

Subject

Engineering (miscellaneous),Computer Science (miscellaneous)

Reference27 articles.

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2. {2} Y. Diao J. L. Hellerstein A. Storm M. Surendra S. Lightstone S. Parekh and C. Garcia-Arellano "Using MIMO linear control for load balancing in computing systems " in Proceedings of the 2004 American Control Conference (Boston MA USA) pp. 2045-2050 June 30-July 2 2004. {2} Y. Diao J. L. Hellerstein A. Storm M. Surendra S. Lightstone S. Parekh and C. Garcia-Arellano "Using MIMO linear control for load balancing in computing systems " in Proceedings of the 2004 American Control Conference (Boston MA USA) pp. 2045-2050 June 30-July 2 2004.

3. {4} A. Mutambara Decentralized Estimation and Control for Multisensor Systems. CRC Press 1998. {4} A. Mutambara Decentralized Estimation and Control for Multisensor Systems . CRC Press 1998.

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