Resource management of distributed Virtual Machines

被引：33
|
作者：
Wang, Lizhe [1 ]
Chen, Dan [2 ]
Zhao, Jiaqi [3 ]
Tao, Jie [4 ]
机构：
[1] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China
[2] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China
[3] Changchun Univ Technol, Sch Basic Sci, Changchun 130012, Peoples R China
[4] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76344 Karlsruhe, Germany
来源：
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING | 2012年 / 10卷 / 02期
基金：
中国国家自然科学基金;
关键词：
grid computing; high energy physics application; grid workflow system; VM; virtual machine; LIST SCHEDULING ALGORITHM; PERFORMANCE EVALUATION; TASKS; GRIDS;
D O I：
10.1504/IJAHUC.2012.048261
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：96 / 111
页数：16
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