An Agent-based Grouping Strategy for Federated Grid Computing

1
md._tanvir_rahman
md._tanvir_rahman
2
Aminul Haque
Aminul Haque
3
Md. Tanvir Rahman
Md. Tanvir Rahman
1 Mawlana Bhashani Science and Technology University
2 Daffodil International University

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Characterizing users based on their requirements and forming groups among providers accordingly to deliver them the stronger quality of service is a challenge for federated grid community. Federated grid computing allows providers to behave cooperatively to ensure required utility by users. Grouping grid providers under such an environment thus enhance the possibility of more jobs executed whereas a single provider or organization might not be able to do the same. In this paper, we propose an agent-based iterative Contract Net Protocol which supports in building federated grid via negotiating distributed providers. The main focus of this paper is to minimize the number of iterations using a grouping mechanism. Minimizing the number of iterations would produce less communication overhead which results in the minimum queue waiting time for users to publish their jobs. Simulation results further ensure the feasibility of our approach in terms of profit and resource utilization compared to that of the traditional non-grouped market.

16 Cites in Articles

References

  1. C Massimiliano,G Stefano (2008). Resource allocation in grid computing: an economic model.
  2. Hesam Izakian,Ajith Abraham,Behrouz Ladani (2009). An auction method for resource allocation in computational grids.
  3. W.-C Ni,L.-C Liu,C Wu (2007). Services selection based on commodity-market in grid workflow.
  4. C Isaac,S Ramon,A Oscar,J Liviu,F Omer (2009). Optimizing decentralized grid markets through group selection.
  5. Antonella Di Stefano,Corrado Santoro (2008). An economic model for resource management in a Grid-based content distribution network.
  6. A Foster,C Kesselman (1999). The grid blueprint for a future computing infrastructure.
  7. G Kunal,G Arobinda (2008). Resource Selection in Grids Using Contract Net.
  8. R Rajiv,H Aaron,B Rajkumar (2008). Sla-based cooperative super scheduling algorithms for computational grids.
  9. Ku Ku-Mahamud,Husna Nasir (2010). Ant Colony Algorithm for Job Scheduling in Grid Computing.
  10. Laizhi Wei,Xiaobin Zhang,Yun Li,Yujie Li (2012). An Improved Ant Algorithm for Grid Task Scheduling Strategy.
  11. Amit Sonal Yadav,Ravi Agarwal,Rastogi (2014). Costbased Job grouping and Scheduling Algorithm for Grid Computing Environments.
  12. Pinky Rosemarry,Ravinder Singh,Payal Singhal,Dilip Sisodia (2012). Grouping Based Job Scheduling Algorithm Using Priority Queue and Hybrid Algorithm in Grid Computing.
  13. Y Sallez,T Berger,C Tahon (2004). Simulating intelligent routing in flexible manufacturing systems using NetLogo.
  14. R.-C Damaceanu (2008). An agent-based computational study of wealth distribution in function of resource growth interval using NetLogo.
  15. J Michael,T Nicholson,R Jerry (2006). Experiences creating three implementations of the repast agent modeling toolkit.
  16. (2000). FIPA Iterated Contract Net Interaction Protocol Specification.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

md._tanvir_rahman. 2018. \u201cAn Agent-based Grouping Strategy for Federated Grid Computing\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 18 (GJCST Volume 18 Issue E1): .

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Issue Cover
GJCST Volume 18 Issue E1
Pg. 39- 49
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-E Classification: C.1.4, C.1.m
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v1.2

Issue date

April 5, 2018

Language

English

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Characterizing users based on their requirements and forming groups among providers accordingly to deliver them the stronger quality of service is a challenge for federated grid community. Federated grid computing allows providers to behave cooperatively to ensure required utility by users. Grouping grid providers under such an environment thus enhance the possibility of more jobs executed whereas a single provider or organization might not be able to do the same. In this paper, we propose an agent-based iterative Contract Net Protocol which supports in building federated grid via negotiating distributed providers. The main focus of this paper is to minimize the number of iterations using a grouping mechanism. Minimizing the number of iterations would produce less communication overhead which results in the minimum queue waiting time for users to publish their jobs. Simulation results further ensure the feasibility of our approach in terms of profit and resource utilization compared to that of the traditional non-grouped market.

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An Agent-based Grouping Strategy for Federated Grid Computing

Aminul Haque
Aminul Haque Daffodil International University
Md. Tanvir Rahman
Md. Tanvir Rahman

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