Computer
Effects of Response and Stability on Scheduling in Distributed Computing Systems
IEEE Transactions on Software Engineering
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
A Group-Based Load Balance Scheme for Software Distributed Shared Memory Systems
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
On Load Balancing Approaches for Distributed Object Computing Systems
The Journal of Supercomputing
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
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In the distributed object computing systems a set of server objects are made available over the network for computations on behalf of remote clients. In a typical distributed system setting the existing load balancing algorithms usually do not consider the global system state. In this paper we propose a new approach for improving the performance of distributed system using fuzzy grouping-based load balancing. It utilizes membership graphs in terms of the amount of CPU time and memory used for inferencing the service priority. Extensive computer simulation reveals that the proposed approach allows consistently higher performance than other approaches in terms of response time and throughput for various number of servers and tasks.