Title :
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
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;
Conference_Titel :
Cluster Computing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7695-2066-9
DOI :
10.1109/CLUSTR.2003.1253316
