The analysis of service provider-user coordination for resource allocation in cloud computing

  • Authors:

  • Nong Ye;Su Seon Yang;Billibaldo Martinez Aranda

  • Affiliations:

  • School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, AZ, USA;School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, AZ, USA;School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

  • Venue:
  • Information-Knowledge-Systems Management
  • Year:
  • 2013

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Abstract

Resource allocation in cloud computing is an optimization problem that determines the allocation of computer and network resources of service providers to requested services of users for meeting user service requirements. A distributed cloud computing environment for IT services requires resource allocation in a decentralized manner through the coordination of service providers and service users. Achieving the optimal solution of service planning through the decentralized service provider-user coordination remains as a challenge. This paper looks into elements of service provider-user coordination first in the formulation of the resource allocation problem in a centralized manner and then in the formulation of the problem in a decentralized manner for various problem cases. By examining differences between the centralized, optimal solutions and the decentralized solutions for those problem cases, the analysis of how the decentralized service provider-user coordination breaks down the optimal solutions is performed. Based on this analysis, strategies of decentralized service provider-user coordination are developed.