UNSPECIFIED. (2005) Grid load balancing using intelligent agents. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING-THEORY METHODS AND APPLICATIONS, 21 (1). pp. 135-149. ISSN 0167-739X

Full text not available from this repository.

Abstract

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.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Journal or Publication Title:	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING-THEORY METHODS AND APPLICATIONS
Publisher:	ELSEVIER SCIENCE BV
ISSN:	0167-739X
Date:	1 January 2005
Volume:	21
Number:	1
Number of Pages:	15
Page Range:	pp. 135-149
Identification Number:	10.1016/j.future.2004.09.032
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/7469

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item