Grid load balancing using intelligent agents

被引：115

作者：

Cao, JW

Spooner, DP

Jarvis, SA

Nudd, GR

机构：

[1] MIT, Ctr Space Res, Cambridge, MA 02139 USA

[2] Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, England

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2005年 / 21卷 / 01期

关键词：

load balancing; grid computing; intelligent agents; genetic algorithm; service discovery;

D O I：

10.1016/j.future.2004.09.032

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Scalable management and scheduling of dynamic grid resources requires new technologies to build the next generation intelligent grid environments. This work demonstrates that AI techniques can be utilised to achieve effective workload and resource management. A combination of intelligent agents and multi-agent approaches is applied to both local grid resource scheduling and global grid load balancing. Each agent is a representative of a local grid resource and utilises predictive application performance data with iterative heuristic algorithms to engineer local load balancing across multiple hosts. At a higher level, agents cooperate with each other to balance workload using a peer-to-peer service advertisement and discovery mechanism. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：135 / 149

页数：15