CFP last date
22 April 2024
Reseach Article

Job Scheduling in Grid Computing

by Khushboo Yadav, Deepika Jindal, Ramandeep Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 22
Year of Publication: 2013
Authors: Khushboo Yadav, Deepika Jindal, Ramandeep Singh
10.5120/12102-7931

Khushboo Yadav, Deepika Jindal, Ramandeep Singh . Job Scheduling in Grid Computing. International Journal of Computer Applications. 69, 22 ( May 2013), 13-16. DOI=10.5120/12102-7931

@article{ 10.5120/12102-7931,
author = { Khushboo Yadav, Deepika Jindal, Ramandeep Singh },
title = { Job Scheduling in Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 22 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number22/12102-7931/ },
doi = { 10.5120/12102-7931 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:59.354938+05:30
%A Khushboo Yadav
%A Deepika Jindal
%A Ramandeep Singh
%T Job Scheduling in Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 22
%P 13-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Job scheduling is used to schedule the user jobs to appropriate resources in grid environment. The goal of scheduling is that it achieves highest possible system throughput and match the application need with the available computing resources. In this paper, we will review the definition of grid computing, types of Grids, framework of Grid scheduling and characteristics of Computational Grid. Grid is a system in which machines are distributed across various organizations. Grid computing is a form of distributed computing. It involves sharing of resources that are heterogeneous and geographically distributed to solve various complex problems and develop large scale applications. Grid computing is broad in its domain of application and raises research questions that span many areas of distributed computing and of computer science in general. In this paper, we will explain job scheduling and resource scheduling algorithms that will benefit the researchers to carry out their further work in this area of research.

References
  1. I. Foster, 2002, "The Grid: A new infrastructure for 21st century science,"Physics Today.
  2. Y. S. Dai, M. Xie, and K. L. Poh, 2006, "Reliability of grid service systems," Computers and Industrial Engineering.
  3. S. C. Guo, H. Wan, G. B. Wang, and M. Xie, 2010, "Analysis of grid resource compensation in market-oriented environment," Eksploatacja INiezawodnooeæ—Maintenance and Reliability.
  4. Klaus Krauter, Rajkumar Buyya and Muthucumaru Maheswaran, 2002, "A taxonomy and survey of grid resource management systems for distributed computing", Software-Practice and Experience.
  5. Karl Czajkowski, Steven Fitzgeraldt, Ian FosterB and Carl Kesselman, 2001, "Grid Information Services for Distributed Resource Sharing".
  6. Condor http://research. cs. wisc. edu/condor/manual/v7. 8/inde x. html
  7. Sterling, T,"PBS: Portable Batch System " , Beowulf Cluster Computing with Windows, MIT Press.
  8. Gyung, L. P. , 2004, "Performance Evaluation of a List Scheduling Algorithm in Distributed Memory Multiprocessor Systems".
  9. R. Buyya and M. Murshed, 2002, "Gridsim: a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing," Concurrency and Computation: Practice and Experience.
  10. Raksha Sharma, Vishnu Kant Soni, Manoj Kumar Mishra and Prachet Bhuyan, 2010, "A Survey of Job Scheduling and Resource Management in Grid Computing", in World Academy of Science, Engineering and Technology.
  11. E. Huedo, R. S. Montero, and I. M. Llorente. 2005, The Grid Way framework for adaptive scheduling and execution on grids. Scalable Computing: Practice and Experience.
  12. M. Chtepen, 2005, "Dynamic scheduling in grids system," Sixth Firw PhD Symposium, Faculty of Engineering, Ghent University.
  13. Mr. Rakesh Kumar and Navjot Kaur, "Job Scheduling in Grid Computers".
  14. K. Somasundaram, S. Radhakrishnan M. Gomathynayagam, 2007, "Efficient Utilization of Computing Resources using Highest Response Next Scheduling in Grid" 6 (5): 544-547, Asian Journal of Information Technology.
  15. K. Somasundaram, S. Radhakrishnan, 2008, "Node Allocation in Grid Computing Using Optimal Resource Constraint (ORC) Scheduling",VOL. 8 No. 6, IJCSNS International Journal of Computer Science and Network Security.
  16. J. Santoso; G. D. van Albada; B. A. A. Nazief and P. M. A. Sloot, 2000, "Hierarchical Job Scheduling for Clusters of Workstations", ASCI 2000, pp. 99-105. ASCI, Delft.
  17. Ng Wai Keat,Ang Tan Fong,Ling Teck Chaw,Liew Chee Sun, 2006, "Scheduling Framework For Bandhwidth-Aware Job Grouping Based Scheduling In Grid Computing", Malaysian Journal Of Computer Science.
  18. Quan Liu, Yeqing Liao, 2009, "Grouping-Based Fine-grained Job Scheduling Grid Computing", IEEE .
  19. T. F Ang, W. K. Ng, T. C Ling, 2009, "A Bandwidth-Aware Job Grouping Bas Scheduling on Grid Environment", Information Technology Journal.
  20. Kumar Mishra, "An Agent Based Dynamic Resource Scheduling Model with FCFS-Job Grouping Strategy In Grid Computing", Waset, ICCGCS 2010. In Press.
  21. Nithiapidary Muthuvelu, Junyang Liu, "A Dynamic Job Grouping- Based Scheduling for Deploying Application with Fine-Grained tasks on Global Grids, Australasian Workshop on Grid Computing and e- Research, vol. 44, AusGrid -2005.
  22. Alpana Rajan, Anil Rawat, Rajesh Kumar Verma, 2008, " Virtual Computing Grid using Resource Pooling", IEEE, International Conference on Information Technology.
  23. K. Krauter, R. Buyya, and M. Maheswaran, 2002, "A taxonomy and survey of grid resource management systems for distributed computing," Software—Practice and Experience.
  24. C. L. Li and L. Y. Li, 2007, "Multiple QoS modeling and algorithm in computational grid," Journal of Systems Engineering and Electronics.
Index Terms

Computer Science
Information Sciences

Keywords

Grid computing Job Scheduling Resource Scheduling