Resource management of distributed virtual machines

  • Authors:
  • Lizhe Wang;Dan Chen;Jiaqi Zhao;Jie Tao

  • Affiliations:
  • Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, PR China;School of Computer Science, China University of Geosciences, Wuhan 430074, China;School of Basic Sciences, Changchun University Technology, Changchun 130012, China;Steinbuch Centre for Computing, Karlsruhe Institute of Technology, 76344 Germany

  • Venue:
  • International Journal of Ad Hoc and Ubiquitous Computing
  • Year:
  • 2012

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Abstract

Using Virtual Machines (VMs) as a computing resource within a Service Oriented Architecture (SOA) creates a variety of new issues and challenges. Traditionally parallel task scheduling algorithms only focus on handling CPU resources but with use of a VM there are many more resources properties to monitor and manage. The objective of this paper is to address these challenges of a multi-dimensional scheduling algorithm for VMs within a SOA. To do this we deploy a testbed of SOA environment with VMs that are capable of being registered, indexed, allocated, accessed and controlled by our new parallel task scheduling algorithms.