Load distribution for heterogeneous and non-dedicated clusters based on dynamic monitoring and differentiated services

Author

Senger, Hermes ; Sato, Liria Matsumoto

Author_Institution

Univ. Catolica de Santos, Brazil

fYear

2003

fDate

1-4 Dec. 2003

Firstpage

199

Lastpage

206

Abstract

This paper discusses a load distribution strategy for distributed object computing systems. Our strategy relies on dynamic monitoring and application profiling to manage workloads and improve the system performance of non-dedicated clusters of heterogeneous computers. Application profiling and the combined use of load balancing mechanisms have proven useful to deal with services with a differentiated demand for resources. The use of this strategy allows for load balancing and performance improvement with low overhead.

Keywords

distributed object management; resource allocation; system monitoring; workstation clusters; application profiling; differentiated services; distributed object computing systems; dynamic monitoring; heterogeneous clusters; heterogeneous computers; load balancing; load distribution; nondedicated clusters; performance improvement; system performance; workload management; Application software; Business; Computerized monitoring; Data mining; Distributed computing; Distribution strategy; Load management; Publishing; Resource management; Scalability; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster Computing, 2003. Proceedings. 2003 IEEE International Conference on

Print_ISBN

0-7695-2066-9

Type

conf

DOI

10.1109/CLUSTR.2003.1253316

Filename

1253316