A Survey on QoS Based Task Scheduling Approach in Grid Computing

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-8 Number-7                          
Year of Publication : 2014
Authors : Mr. Jujhar Singh , Mr. Gaurav Sharma
  10.14445/22315381/IJETT-V8P265

Citation 

Mr. Jujhar Singh , Mr. Gaurav Sharma. "A Survey on QoS Based Task Scheduling Approach in Grid Computing", International Journal of Engineering Trends and Technology(IJETT), V8(7),359-366 February 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Science and engineering are the fields which deal with the complex computational problems. So, dealing with these problems requires a very robust platform and Grid Computing provides the required functionality. Geographically distributed heterogeneous resources define the Grid computing scenario. The major problem which arises in the area of Grid Computing is the task scheduling which tends to select the best resource for a given job. There are many scheduling heuristics (online and batch mode) are available but they are not able to achieve the maximum objectives. So, Quality of Service (QoS) based approach is required to achieve the maximum objectives. The QoS based approach keeps into account the QoS based characteristics for both the tasks and the resources. In this paper we study the different heuristics techniques for resource selection in Grid Computing and also we go through the need and significance of this QoS based approach in Grid Computing.

References

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Proceeding Paper:
[7] Fang Dong, Junzhou Luo, Lisha Gao, Liang Ge, School of Computer Science and Engineering, Southeast University, Nanjing 210096, P.R.China,“A Grid Task Scheduling Algorithm Based on QoS Priority Grouping”, Proceedings of the Fifth International Conference on Grid and Cooperative Computing (GCC`06),0-7695-2694-2/06 $20.00 © 2006

Keywords
Grid Computing, Task Scheduling, Grid Scheduler, Online mode heuristics, Batch mode heuristics.