Title :
Self-Organizing Software Processes Based on Particle Dynamics Model
Author :
Shuai, Dianxun ; Zhang, Bin ; Lu, Cunpai
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Tech., Shanghai
Abstract :
This paper presents a novel particle dynamics model (PDM) for the adaptive self-organization of software processes in complex distributed environment. Differing from traditional models, the particle dynamics model regards software processes in distributed environment as a random Markov process, and hence establishes self-organizing networks for software processes. The conception, algorithm and properties of PDM are discussed. The PDM-based self-organizing software processes has advantages in terms of the real-time performance, adaptability, reliability and the learning ability
Keywords :
Markov processes; distributed processing; software process improvement; complex distributed environment; particle dynamics model; random Markov process; self-organizing software process; Application software; Collaborative software; Computer science; Distributed computing; Grid computing; Markov processes; Performance analysis; Self-organizing networks; Software performance; Software systems;
Conference_Titel :
Computer Software and Applications Conference, 2006. COMPSAC '06. 30th Annual International
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-2655-1
DOI :
10.1109/COMPSAC.2006.162