Paper Info
Title
Improving Load Balancing in a Parallel Cluster Environment Using Mobile Agents
Abstract
In this article we present an improvement on the loadba lancing of a parallel cluster environment, considering the MPI parallel programming paradigm and employing a mobile agent system. Our approach is to apply the mobile agent technology to provide a better scheduling, which couldre present in a cluster configuration an enhancement on the loadb alancing. MPI in cluster of heterogeneous machines could leadp arallel programmers to obtain frustrated results, mainly because of the lack of an even distribution of the workload in the cluster. As a result, before submitting a MPI application to a cluster, we use the Aglets mobile agent package to acquire a more precise information of machines' workload. Therefore, with a more precise knowledge of the load (and characteristics) in each machine, we are ready to gather lightweight workstations to form a cluster. Our empirical results indicates that it is possible to spendless elapsed time when considering the execution of a parallel application using the agent approach in comparison to an ordinary MPI environment.
Year
DOI
Venue
2001
10.1007/3-540-48228-8_53
HPCN Europe
Keywords
Field
DocType
parallel cluster environment,parallel application,agent approach,mobile agent technology,mpi application,aglets mobile agent package,improving load,mobile agents,cluster configuration,mpi parallel programming paradigm,ordinary mpi environment,mobile agent system,cluster computing,message passing interface,mobile agent,load balance
Workload,Computer science,Scheduling (computing),Load balancing (computing),Parallel computing,Mobile agent,Workstation,Execution time,Operating system,Computer cluster,Message passing,Distributed computing
Conference
Volume
ISSN
ISBN
2110
0302-9743
3-540-42293-5
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
M. A. R. Dantas16411.07
F. M. Lopes200.68