Resource provisioning in SLA-based cluster computing

  • Authors:
  • Kaiqi Xiong;Sang Suh

  • Affiliations:
  • Department of Computer Science, Texas A&M University, Commerce, TX;Department of Computer Science, Texas A&M University, Commerce, TX

  • Venue:
  • JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
  • Year:
  • 2010

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Abstract

Cluster computing is excellent for parallel computation. It has become increasingly popular. In cluster computing, a service level agreement (SLA) is a set of quality of services (QoS) and a fee agreed between a customer and an application service provider. It plays an important role in an e-business application. An application service provider uses a set of cluster computing resources to support e-business applications subject to an SLA. In this paper, the QoS includes percentile response time and cluster utilization. We present an approach for resource provisioning in such an environment that minimizes the total cost of cluster computing resources used by an application service provider for an e-business application that often requires parallel computation for high service performance, availability, and reliability while satisfying a QoS and a fee negotiated between a customer and the application service provider. Simulation experiments demonstrate the applicability of the approach.