Service Computing Optimization Based on Generalized Particle Dynamics

Author

Shuai, Dianxun ; Shuai, Qing ; Dong, Yumin

Author_Institution

East China Univ. of Sci. & Technol.

Volume

2

fYear

2006

Firstpage

1369

Lastpage

1374

Abstract

This paper presents a novel generalized particle model (GPM) for parallel service optimization in distributed service systems. The proposed GPM transforms the allocation of service resources and the assignment of service jobs in distributed service systems into the kinematics and dynamics of massive particles in a force-field. The construction, dynamics and properties of the GPM approach and parallel algorithm GPMA are discussed. The GPM approach has many advantages in terms of the high-scale parallelism, multi-objective optimization, multi-type coordination, multi-degree autonomy, and the ability to deal complex phenomena randomly occurring in distributed service systems. Simulations have shown the effectiveness and suitability of the proposed GPM approach for service computing

Keywords

optimisation; parallel algorithms; GPM approach; GPMA parallel algorithm; distributed service systems; generalized particle model dynamics; multidegree autonomy; multiobjective optimization; multitype coordination; parallel service computing optimization; Aggregates; Collaboration; Computational modeling; Concurrent computing; Distributed computing; Kinematics; Large-scale systems; Parallel algorithms; Parallel processing; Resource management; Distributed service systems; generalized particle; parallel algorithm; service computing; service optimization;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSSSM.2006.320711

Filename

4114690