Journal
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING
Volume 10, Issue 2, Pages 96-111Publisher
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJAHUC.2012.048261
Keywords
grid computing; high energy physics application; grid workflow system; VM; virtual machine
Funding
- One-hundred Talents Program, Chinese Academy of Sciences
- National Natural Science Foundation of China [60804036]
- Hundred University Talent of Creative Research Excellence Programme (Hebei, China)
- Fundamental Research Funds for the Central Universities, CUG, Wuhan [CUGL100608]
- Birmingham-Warwick Science City Research Alliance
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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.
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