DocumentCode
2161128
Title
An improved ant colony algorithm for independent tasks scheduling of grid
Author
Zhu, Youchan ; Wei, Qiujuan
Author_Institution
Network Manage. Center, North China Electr. Power Univ., Baoding, China
Volume
2
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
566
Lastpage
569
Abstract
The article introduces an improved ant colony algorithm (IACO) for the grid independent tasks scheduling problem. Min-min algorithm can decide the resource which can complete the task early. Initializing the pheromone of ant colony algorithm with Min-min algorithm can improve the lack of initial pheromone, slowing speed of solving. To avoid the ¿premature¿ phenomenon of the latter part, this paper improves the parameters. The improved ant colony algorithm is more suited to the grid tasks scheduling and can make full use of the resource.
Keywords
grid computing; optimisation; scheduling; grid independent tasks scheduling; improved ant colony algorithm; min-min algorithm; Algorithm design and analysis; Analytical models; Computational modeling; Dynamic scheduling; Energy management; Grid computing; Power systems; Processor scheduling; Resource management; Scheduling algorithm; IACO algorithm; grid; tasks scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451663
Filename
5451663
Link To Document