Paper Info
Title
Adaptive Placement Of Parallel Java Agents In A Scalable Computing Cluster
Abstract
This paper describes a framework for parallel computing in a locally confined, scalable computing cluster (SCC) using Java agents. The framework consists of a programming model with agents and asynchronous invocations, and a scheme for adaptive placement of multiple agents in an SCC. Our scheme is geared to improve the overall performance by a dynamic match between the available cluster resources and the execution requirements of the agents. This is accomplished by agent migrations among the nodes using on-line algorithms for load leveling and reduction of the interagent communication overhead. Simulations of several examples show that our scheme outperforms a static agent placement scheme by as much as 40% for the test cases. (C) 1998 John Whey & Sons, Ltd.
Year
DOI
Venue
1998
10.1002/(SICI)1096-9128(199809/11)10:11/13<971::AID-CPE395>3.0.CO;2-E
CONCURRENCY-PRACTICE AND EXPERIENCE
DocType
Volume
Issue
Journal
10
11-13
ISSN
Citations 
PageRank 
1040-3108
11
0.83
References 
Authors
4
2
Name
Order
Citations
PageRank
Arie Keren120417.85
Amnon Barak2590119.00