Title :
Related Task Scheduling Research Based on Virtual Clusters and Partitioning of Task
Author :
Liang, Hong ; Xing, Chang-Zhen ; Qi, Xue-Dong ; Liu, Chang
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet., Dongying, China
Abstract :
In the actual grid environment, there are many kinds of task and resource which are different from each other, so the grid scheduling is very difficult. This paper proposes a scheduling algorithm for static batch task based on graph division and resources clustering. The algorithm uses VDAG map to describe the entire task collection and schedules them together. In order to take full advantage of the parallel grid resource, the algorithm takes a method to divide the DAG graph in horizontal and vertical direction to get the job groups relatively independent from each other; at the same time, extracts the resources attributes to build the virtual cluster to reduce the resources search time spent in the scheduling process. The algorithm obtains better scheduling results.
Keywords :
grid computing; scheduling; workstation clusters; VDAG map; graph division; grid environment; parallel grid resource; resource clustering; static batch task scheduling; task collection; task partitioning; virtual cluster; Clustering algorithms; Dynamic scheduling; Embedded computing; Grid computing; Job shop scheduling; Large-scale systems; Petroleum; Power engineering computing; Processor scheduling; Scheduling algorithm; DAG; critical path; task division; virtual cluster;
Conference_Titel :
Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009. SCALCOM-EMBEDDEDCOM'09. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3825-9
DOI :
10.1109/EmbeddedCom-ScalCom.2009.32