A simple dynamic load balancing algorithm for homogeneous distributed systems
CSC '88 Proceedings of the 1988 ACM sixteenth annual conference on Computer science
Load Balancing in Distributed Systems: An Approach Using Cooperative Games
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Dynamic Load Balancing in Distributed Systems
MASCOTS '94 Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
A Game-Theoretic Model and Algorithm for Load Balancing in Distributed Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
IEEE Transactions on Parallel and Distributed Systems
Game-Theoretic Approach for Load Balancing in Computational Grids
IEEE Transactions on Parallel and Distributed Systems
On the scalability and dynamic load-balancing of optimistic gate level simulation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A Multi-State Q-Learning Approach for the Dynamic Load Balancing of Time Warp
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
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Process of improving the performance of a parallel and distributed system through a redistribution of load among the processors is called load balancing. If it is being done at run time then it treats as dynamic load balancing. In this paper we present the framework for obtaining a user optimal load balancing scheme in distributed system. We formulate the Dynamic load balancing problem in distributed systems as a noncooperative game among users. The system model considers various parameters and accordingly the load balancing algorithm is defined. For the proposed noncooperative load balancing game, we consider the structure of the Nash equilibrium. Based on this structure we derive a new distributed load balancing algorithm. Our focus is to define the load balancing problem and the scheme to overcome it, by using new area called game theory.