A Decentral , Adaptive Load Sharing Approach forWorkstation Clusters using Fuzzy Logic

This paper presents a load sharing heuristic for distributed computing on workstation clusters. The approach is novel in that it combines the use of predicted resource requirements of processes (CPU-time, memory requirements, density of the I/O-stream) and a fuzzy logic controller which makes the placement decision. The heuristic is distributed, i.e. each node runs a copy of the prediction and load sharing code, and its implementation is based on PVM. Using a benchmark program (Choleski factorization) experiments were conducted to compare the proposed heuristic against standard PVM and an older version of the presented heuristic without the fuzzy logic controller.