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16th Annual International Symposium on High Performance Computing Systems and Applications
An Enhanced Scheduling Approach in a Distributed Parallel Environment Using Mobile Agents
Moncton, NB, Canada
June 16-June 19
ISBN: 0-7695-1626-2
ASCII Text
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M.A.R. Dantas, J.G.R.C. Lopes, T.G. Ramos, "An Enhanced Scheduling Approach in a Distributed Parallel Environment Using Mobile Agents," High Performance Computing Systems and Applications, Annual International Symposium on, pp. 177, 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002.
 
 
BibTex
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@article{ 10.1109/HPCSA.2002.1019152,
author = {M.A.R. Dantas and J.G.R.C. Lopes and T.G. Ramos},
title = {An Enhanced Scheduling Approach in a Distributed Parallel Environment Using Mobile Agents},
journal ={High Performance Computing Systems and Applications, Annual International Symposium on},
volume = {0},
year = {2002},
isbn = {0-7695-1626-2},
pages = {177},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPCSA.2002.1019152},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - High Performance Computing Systems and Applications, Annual International Symposium on
TI - An Enhanced Scheduling Approach in a Distributed Parallel Environment Using Mobile Agents
SN - 0-7695-1626-2
SP
EP
A1 - M.A.R. Dantas,
A1 - J.G.R.C. Lopes,
A1 - T.G. Ramos,
PY - 2002
KW - Scheduling
KW - Load Balancing
KW - Mobile Agents
KW - Message Passing Interface (MPI) and Cluster Computing.
VL - 0
JA - High Performance Computing Systems and Applications, Annual International Symposium on
ER -
 
M.A.R. Dantas, University of Brasilia
J.G.R.C. Lopes, University of Brasilia
T.G. Ramos, University of Brasilia
In this article our goal is to apply the mobile agent technology to provide a better scheduling to MPI applications executing in a cluster configuration. This approach could represent in a distributed cluster environment an enhancement on the load balancing of the parallel processes. MPI in cluster of heterogeneous machines could lead parallel 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 our JOTA mobile agent approach to acquire a more precise information of machine?s 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 spend less elapsed time when considering the execution of a parallel application using the agent approach in comparison to an ordinary MPI environment.
Index Terms:
Scheduling, Load Balancing, Mobile Agents, Message Passing Interface (MPI) and Cluster Computing.
Citation:
M.A.R. Dantas, J.G.R.C. Lopes, T.G. Ramos, "An Enhanced Scheduling Approach in a Distributed Parallel Environment Using Mobile Agents," hpcs, pp.177, 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002
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