Title :
Research on genetic algorithm based service allocation mechanism in pervasive computing
Author :
Runcai Huang ; Yiwen Zhuang ; Qiying Cao
Author_Institution :
Coll. of Electron. & Electr., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
In pervasive computing, the internal requirements of multi-task concurrent real time system are analyzed, and the relevant allocation model and optimization principle are given. With respect to the features of genetic algorithm, a task-driven service allocation mechanism is designed and the experimental results demonstrate that the mechanism is effective and feasible.
Keywords :
Web services; genetic algorithms; ubiquitous computing; genetic algorithm; multitask concurrent real time system; optimization principle; pervasive computing; service allocation mechanism; task-driven service allocation mechanism; Algorithm design and analysis; Biological cells; Character generation; Educational institutions; Evolution (biology); Genetic algorithms; Genetic engineering; Genetic mutations; Pervasive computing; Real time systems; genetic algorithm; pervasive computing; service allocation; task-driven;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477812
