Title :
Grouping-Based Fine-Grained Job Scheduling in Grid Computing
Author :
Liu, Quan ; Liao, Yeqing
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan
Abstract :
Grid computing is the technology for building Internet-wide computing environment in which distributed and heterogeneous resources are integrated. However, in Grid environment, job scheduling is confronted with a great challenge. This paper focuses on lightweight jobs scheduling in Grid Computing. An Adaptive Fine-grained Job Scheduling (AFJS) algorithm is proposed. Compared with other fine-grained job scheduling algorithms based on grouping, AFJS can outperform them according to the experimental results.
Keywords :
grid computing; resource allocation; scheduling; Internet; distributed resource; grid computing; grouping-based adaptive fine-grained job scheduling algorithm; heterogeneous resource; Adaptive scheduling; Analytical models; Computer networks; Computer science education; Distributed computing; Educational technology; Grid computing; Processor scheduling; Resource management; Scheduling algorithm; Grid Computing; fine-grained job; grouping;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.132
