Title :
Stochastic Particle Model for Service Self-Organization
Author :
Shuai, Dianxun ; Shuai, Qing ; Dong, Yumin
Author_Institution :
East China Univ. of Sci. & Technol.
Abstract :
This paper presents a self-organizing service modeling based on generalized particle dynamics (GPD) for distributed service systems. Differing from traditional service models, the GPD-based self-organizing service modeling may provide optimal services according to user requirements. The GPD conception, algorithm and its properties are discussed. The GPD-based self-organizing service modeling has advantages in terms of the real-time performance, adaptability, reliability and the learning ability over traditional service models
Keywords :
computational complexity; parallel algorithms; stochastic processes; GPD-based self-organizing service modeling; distributed service systems; generalized particle dynamics; stochastic particle model; Collaboration; Distributed computing; Explosives; Large-scale systems; Parallel algorithms; Probability distribution; Problem-solving; Stochastic processes; Stochastic systems; Web services; generalized particle; parallel algorithm; self-organizing dynamics; service contents; service modeling; service sources;
Conference_Titel :
Service Systems and Service Management, 2006 International Conference on
Conference_Location :
Troyes
Print_ISBN :
1-4244-0450-9
Electronic_ISBN :
1-4244-0451-7
DOI :
10.1109/ICSSSM.2006.320712
