Control of large scale computing systems

  • Authors:
  • Yixin Diao;Joseph L. Hellerstein;Sujay Parekh

  • Affiliations:
  • IBM Thomas J. Watson Research Center, Hawthorne, New York;IBM Thomas J. Watson Research Center, Hawthorne, New York;IBM Thomas J. Watson Research Center, Hawthorne, New York

  • Venue:
  • ACM SIGBED Review
  • Year:
  • 2006

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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.