Exploiting process lifetime distributions for dynamic load balancing
ACM Transactions on Computer Systems (TOCS)
Load Balancing Problems for Multiclass Jobs in Distributed/Parallel Computer Systems
IEEE Transactions on Computers
IEEE Transactions on Computers
A Grid-based Virtual Reactor: Parallel performance and adaptive load balancing
Journal of Parallel and Distributed Computing
Adaptive policies in information lifecycle management
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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This paper focuses on using simulation to compare the performances of adaptive and static load balancing policies in a heterogeneous distributed system model. All the hosts (nodes) an the system are assumed to have the same function but possibly different processing capacities. The overheads and the delays for both job transfer and system state-information exchange are assumed to be nonnegligible. Simulation results show that both adaptive and static policies improve performance dramatically, and that the performance provided by static policies is not much inferior to that provided by adaptive policies. They also show that when overheads are nonnegligibly high at heavy system loads, static policies can provide performance more stable and better than that provided by adaptive policies.