Authors: Lizhe Wang; Dan Chen; Jiaqi Zhao; Jie Tao
Addresses: 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
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.
Keywords: grid computing; high energy physics; grid workflow systems; distributed VM; virtual machines; resource management; service-oriented architecture; SOA; multi-dimensional scheduling; parallel task scheduling.
International Journal of Ad Hoc and Ubiquitous Computing, 2012 Vol.10 No.2, pp.96 - 111
Published online: 30 Jul 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article