The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

  • Authors:

  • Daji Ergu;Gang Kou;Yi Peng;Yong Shi;Yu Shi

  • Affiliations:

  • School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China 610054 and Southwest University for Nationalities, Chengdu, China 610200;School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China 610054;School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China 610054;College of Information Science & Technology, University of Nebraska at Omaha, Omaha, USA 68182 and Research Center on Fictitious Economy and Data Sciences, Chinese Academy of Sciences, Beijing, Ch ...;School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China 610054

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2013

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Abstract

Resource allocation is a complicated task in cloud computing environment because there are many alternative computers with varying capacities. The goal of this paper is to propose a model for task-oriented resource allocation in a cloud computing environment. Resource allocation task is ranked by the pairwise comparison matrix technique and the Analytic Hierarchy Process giving the available resources and user preferences. The computing resources can be allocated according to the rank of tasks. Furthermore, an induced bias matrix is further used to identify the inconsistent elements and improve the consistency ratio when conflicting weights in various tasks are assigned. Two illustrative examples are introduced to validate the proposed method.