Adaptive load sharing in homogeneous distributed systems
IEEE Transactions on Software Engineering
The Gradient Model Load Balancing Method
IEEE Transactions on Software Engineering - Special issue on distributed systems
A comparison of receiver-initiated and sender-initiated adaptive load sharing
Performance Evaluation
Dynamic load balancing for distributed memory multiprocessors
Journal of Parallel and Distributed Computing
The Probability of Load Balancing Success in a Homogeneous Network
IEEE Transactions on Software Engineering
Dynamic load balancing for adaptive meshes using symmetric broadcast networks
ICS '98 Proceedings of the 12th international conference on Supercomputing
Parallel Processing of Adaptive Meshes with Load Balancing
IEEE Transactions on Parallel and Distributed Systems
Load sharing in Call Server clusters
Computer Communications
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In a distributed-computing environment, it is important to ensure that the processor work loads are adequately balanced. Among numerous load-balancing algorithms, a unique approach due to Das and Prasad defines a symmetric broadcast network (SBN) that provides a robust communication pattern among the processors in a topology-independent manner. In this paper, we propose and analyze three SBN-based load-balancing algorithms, and implement them on an SP2. A thorough experimental study with Poisson-distributed synthetic loads demonstrates that these algorithms are very effective in balancing system load while minimizing processor idle time. They also compare favorably with several existing techniques.