Title :
A Fuzzy Rule Based Load Balancing Model for a Distributed Service Process Engine
Author :
Cao, Jian ; Zhao, Haiyan ; Li, Minglu
Author_Institution :
Dept. of Comput. Sci., Shanghai Jiaotong Univ., Shanghai
Abstract :
A distributed engine with a fuzzy rule based load balancing model for service process is presented. A heuristic algorithm is employed to evaluate and then indicate the potential load of a client´s request with a load tag firstly. Based on the load tag of an incoming client´s request and load statuses of the engine, the controller of the service process engine allocates the request to an appropriate service according to a set of fuzzy rules. Algorithms and it´s structure are discussed in detail; in addition, experiment results are provided to demonstrate the feasibility of the proposed approach.
Keywords :
client-server systems; fuzzy reasoning; fuzzy set theory; resource allocation; client-server system; distributed service process engine; fuzzy rule based load balancing model; fuzzy set theory; heuristic algorithm; Computer science; Distributed computing; Fuzzy control; Heuristic algorithms; Load management; Load modeling; Pervasive computing; Search engines; Service oriented architecture; Web services; Fuzzy Rule; Service Process Engine;
Conference_Titel :
Grid and Pervasive Computing Workshops, 2008. GPC Workshops '08. The 3rd International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-0-7695-3177-9
DOI :
10.1109/GPC.WORKSHOPS.2008.13
