Title :
Load balancing with multiple token policy
Author :
Kulkarni, Parag ; Sengupta, Indranil
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, India
Abstract :
In distributed systems, uneven arrivals of tasks may overload a few hosts, whereas some of the hosts are lightly loaded. This load imbalance prevents a distributed system from delivering performance to its capacity. Load balancing has been advocated as a means of improving the performance and reliability of distributed systems. A new load balancing approach has been proposed by the authors (1998) to deal with this problem. In this paper, we extend this model with multiple tokens. With some parameters in the algorithm set to intelligent values, the algorithm promises better load balancing results
Keywords :
distributed processing; fault tolerant computing; performance evaluation; resource allocation; distributed systems; load balancing; load imbalance; multiple token policy; overloaded hosts; parameter values; performance; reliability; uneven task arrivals; Computer science; Counting circuits; Decision making; Frequency; Load management; Load modeling; Partitioning algorithms; Real time systems; Resource management; System performance;
Conference_Titel :
Parallel and Distributed Systems, 2000. Proceedings. Seventh International Conference on
Conference_Location :
Iwate
Print_ISBN :
0-7695-0568-6
DOI :
10.1109/ICPADS.2000.857688