Title :
A job scheduling simulator in data grid based on GridSim
Author :
Xing, Chang-Ming ; Liu, Fang-Ai ; Chen, Kun
Author_Institution :
Inf. Sci. & Technol. Coll., Shandong Normal Univ., Jinan, China
Abstract :
The job scheduling strategy influences the QoS of data grid immediately. This paper firstly summarizes and defines data grid models and the process of job scheduling, simultaneously analyzes the time and cost of job execution in the data grid, then proposes a design proposal of the job scheduling simulator of data grid based on a grid simulator named GridSim, and introduces the architecture, process and key technologies of the job scheduling simulator. Finally, it proves that this job scheduling simulator can satisfy the need of research on the data grid optimization theories.
Keywords :
digital simulation; grid computing; optimisation; quality of service; scheduling; statistical analysis; GridSim; QoS; data grid optimization theory; data statistics; job execution cost; job execution time; job scheduling process; job scheduling simulator; quality-of-service; Analytical models; Computational modeling; Costs; Educational institutions; Employment; Grid computing; Information science; Job design; Processor scheduling; Proposals;
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
DOI :
10.1109/ITIME.2009.5236347