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

页码：96 / 111

页数：16

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