DocumentCode :
3173550
Title :
Grid Task Scheduling Based on Adaptive Ant Colony Algorithm
Author :
Liu, Aihong ; Wang, Zhengyou
Author_Institution :
Inf. Manage. Sch., Jiangxi Univ. of Finance & Econ., Nanchang
fYear :
2008
fDate :
17-19 Oct. 2008
Firstpage :
415
Lastpage :
418
Abstract :
On the basis of former work, this paper presents an improved ant colony algorithm, namely adaptive ant colony algorithm for grid task scheduling. In the proposed algorithm, the value of evaporation rate p is adaptively changed and a minimum value pmin is assigned. Thereby, the evaporation rate p is under control and will never be reduced to 0. Comparing experimental results with the original algorithm show that the proposed algorithm is more efficient both in task scheduling efficiency and resource load.
Keywords :
grid computing; scheduling; adaptive ant colony algorithm; grid task scheduling; resource load; task scheduling efficiency; Adaptive scheduling; Conference management; Dynamic scheduling; Electronic government; Feedback; Financial management; Grid computing; Optimal scheduling; Processor scheduling; Scheduling algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on
Conference_Location :
Jiangxi
Print_ISBN :
978-0-7695-3366-7
Type :
conf
DOI :
10.1109/ICMECG.2008.50
Filename :
4656668
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3173550
بازگشت