Title :
A New Grid Computation-Based Min-Min Algorithm
Author :
Yu, Xiaogao ; Yu, Xiaopeng
Author_Institution :
Sch. of Inf. Manage., HuBei Univ. of Econ., Wuhan, China
Abstract :
The traditional min-min algorithm is analyzed carefully based on the research of the existing mission scheduling algorithms of grid computation, and it is pointed out that the flaw of load unbalance exists in the min-min algorithm. An improved segmental method-based algorithm is introduced on the ground of min-min algorithm, on the contrary, whose flaw is solved efficiently by the improved algorithm inversely. The SF-min algorithm is introduced at the same time. At last, the introduced algorithm is simulated using Mathlab toolbox. The result proves the reasonableness of the improved algorithm and the algorithm is more efficacious and precise than current algorithms.
Keywords :
grid computing; minimisation; scheduling; Mathlab toolbox; SF-min algorithm; grid computation; min-min algorithm; mission scheduling algorithms; segmental method-based algorithm; Algorithm design and analysis; Computational modeling; Distributed computing; Environmental economics; Fuzzy systems; Grid computing; Information analysis; Information management; Processor scheduling; Scheduling algorithm; Min-Min algorithm; grid computation; segmental Method; task;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.81