Resource Management in Grid Computing: A Review

Resource Management in Grid Computing: A Review

Sunita Rani

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P.K.Suri

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Bhagat Phool Singh Mahila Vishwavidyalaya

Resource Management in Grid Computing: A Review

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Abstract

A Network Computing System is a virtual computer formed by a networked set of heterogeneous machines that agree to share their local resources with each other. A grid is a very large scale network computing system that scales to internet size environments with machines distributed across multiple organizationsand administrative domains. The resource management system is the central component of grid computing system. Resources in the grid are distributed, heterogeneous, autonomous and unpredictable. A resource management system matches requests to resources, schedules the matched resources, and executes the requests using scheduled resources. Scheduling in the grid environment depends upon the characteristics of the tasks, machines and network connectivity. The paper provides a brief overview of resource management in grid computing considering important factors such as types of resource management in grid computing, resource management models and comparison of various scheduling algorithm in resource management in grid computing.

References

30 Cites in Article

Reference Format

Ian Foster (2002). What is the Grid? A Three Point Checklist.
Alan Blatecky (2002). Grid Computing.
Klaus Krauter,Rajkumar Buyya,Muthucumaru Maheswaran A Taxonomy and Survey of Grid Resource Management Systems.
Bo Wang,Gang Chen,Hao Luo,Weimin Zheng (2010). A Taxonomy and Survey of Resource Management in Grid.
Raksha Sharma,Kant Vishnu,Manoj Soni,Prachet Kumar Mishra,Bhuyan (2010). A Survey of Job Scheduling and Resource Management in Grid Computing.
Kant Vishnu,Raksha Soni,Manoj Sharma,Kumar Mishra (2010). An Analysis of Various Job Scheduling Strategies in Grid Computing.
Isah Abdul,Azzez,Safwana Haque (2012). Resource Management in Grid Computing.
Peer Hasselmeyer,Bastian Koller,Lutz Schubert,Philopp Wieder ; Lenica,F Ogel,F Peshanski,J.-P Briot Towards SLA-supported Resource Management.
Quinn Snell,Kevin Tew,Joseph Ekstrom,Mark Clement (2002). An enterprise-based grid resource management system.
Karl Czajkowski,Ian Foster,Carl Kesselman (2005). Agreement-Based Resource Management.
Shudong Chen,Xuefeng Du,Fanyuan Ma,Jianhua Shen (2005). A Grid Resource Management Approach Based on P2P Technology.
Lars-Olof Burchard,A C´esar,Hans-Ulrich De Rose,Barry Heiss,J¨org Linnert,Schneider (2005). VRM: A Failure-Aware Grid Resource Management Symposium on Computer Architecture and High Performance Computing.
Mohamed El-Darieby,Diwakar Krishnamurthy (2006). A Scalable Wide-Area Grid Resource Management Framework.
Kamran Qadir,Falak Nawaz,Raihan Rasool,H Ahmad,Shahid Mahmood (2008). Semantically Enhanced Grid Resource Management.
Wang Kun,Guo Qiang,Zhang Hengwei,Wang Jindong (2011). HRMF-G: A Grid-Based Hierarchical Resource Management Framework.
Ye Hong,Chuang Lin,Yang Qu,Zhiguang Shan (2005). Performance Modeling of Grid Resource Management and Scheduling Systems.
Rajkumar Buyya,David Abramson,Jonathan Giddy,Heinz Stockinger (2002). Economic models for resource management and scheduling in Grid computing.
Rajkumar Buyya,Steve Chapin,David Dinucci,; David Allenotor,Ruppa Thulasiram (2010). Architectural Models for Resource Management in the Grid.
Lisha Gao,Yong Hu,Dahong Zhou (2010). Resource Management Model of Electric Power System Based on Grid Technology.
Bai Zhu Youchan,Juanhua (2010). A P2P based Web service grid resources management model.
Ali Afzal,John Darlington,A Mcgough (2006). Capacity Planning and Stochastic Scheduling in Large-Scale Grids.
Xuelin Shi,Ying Zhao (2010). Stochastic model and evolutionary optimization algorithm for grid scheduling.
Fufang Li,Deyu Qi,Limin Zhang,Xianguang Zhang,Zhili Zhang (2006). Research on Novel Dynamic Resource Management and Job Scheduling in Grid Compuing.
Alpana Rajan,Anil Rawat,Rajesh Verma (2008). Virtual Computing Grid using Resource Pooling.
M Manfu,W Jian,Shuyu Li,Chen Dingjian,Zhengguo Hu (2005). A Grid-distance Based Scheduling for Grid Resource Management.
Chen Hao Xiaoqing,Jia (2010). Resource-cost-based Multi-agent Systems Scheduling for Grid Resource Management.
Bing Tang,Zude Zhou,Quan Liu,Fangmin Li (2008). Market-Driven Based Resource Scheduling Algorithm in Computational Grid.
Liu Liang,Zhou Xing-She,Liu Qiu-Rang,Wang Tao,Yang Zhi-Yi (2005). BMQOS: A General Self-Adaptive Global Resource Scheduling Algorithm forComputational Grid.
Junzhou Luo,Peng Ji,Xiaozhi Wang,Ye Zhu,Feng Li,Teng Ma,Xiaopeng Wang (2003). Resource Management and Task Scheduling in Grid Computing.
Yan Ma,Bin Gong,Lida Zou (2008). Resource Discovery Algorithm Based on Small-World Cluster in Hierarchical Grid Computing Environment.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

Sunita Rani. 2014. \u201cResource Management in Grid Computing: A Review\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E17).

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GJCST Volume 13 Issue E17

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

grid computing resource management scheduling algorithms

Submission ReceivedDecember 10, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

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v1.2

Issue date

February 7, 2014

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: P.K.Suri, Sunita Rani (PhD/Dr. count: 0)

View Count (all-time): 289

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Publish Date: 2014 02, Fri

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