Skip to main content
SpringerLink
Log in

3-Hierarchical resource management model on web grid service architecture

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

In this paper, we developed a framework for efficient resource management within the grid service environment. For considering the grid service architecture and functions, the resource management is the most important to grid service; therefore, GridRMF (Grid Resource Management Framework) is modeled and developed in order to respond to such variable characteristics of resources as accordingly as possible. GridRMF uses the participation level of grid resource as a basis of its hierarchical management. This hierarchical management divides managing domains into two parts: VMS (Virtual Organization Management System) for virtual organization management and RMS (Resource Management System) for metadata management. VMS mediates resources according to optimal virtual organization selection mechanism, and responds to malfunctions of the virtual organization by LRM (Local Resource Manager) automatic recovery mechanism. RMS, on the other hand, responds to load balance and fault by applying resource status monitoring information into adaptive performance-based task allocation algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Foster I, Kesselman C, Tueche S (2001) The anatomy of the grid: enabling scalable virtual organizations. Int J Supercomput Appl 15(3):200–222

    Google Scholar 

  2. Foster I, Kesselman C (1999) The grid: blueprint for a future computing infrastructure. Morgan Kaufmann, San Mateo

    Google Scholar 

  3. Foster I, Kesselman C (2002) The physiology of the Grid: An open Grid services architecture for distributed systems integration. In: Open grid service infrastructure WG, global grid forum

  4. Buyya R, Chapin S, DiNucci D (2000) Architectural models for resource management in the grid. In: Grid computing grid 2000. Lecture notes in computer science, vol 1971, pp 18–34

  5. Kim KH, Buyya R (2007) Fair resource sharing in hierarchical virtual organizations for global grids. In: Proceedings of the 8th IEEE/ACM international conference on grid computing (Grid 2007). IEEE Press, New York, pp 50–57

    Google Scholar 

  6. Venugopal S, Buyya R, Winton L (2006) A grid service broker for scheduling e-science applications on global data grids. Concurr Comput: Pract Exp 18(6):685–699

    Article  Google Scholar 

  7. Jeong YS, Song EH, Xu CZ (2005) Dynamic and adaptive parallel task processing on GRID service architecture. In: Proceedings of the 23rd IASTED international multi-conference, PDCN, pp 270–275

  8. Jeong YS, Park BJ, Song EH (2004) Realtime monitoring for parallel distributed processing system based on Internet. In: VECPAR04, high performance computing for computational science, Spain, pp 857–862

  9. Foster I, Kesselman C (1997) Globus: a metacomputing infrastructure toolkit. Int J Supercomput Appl 11(2):115–128

    Google Scholar 

  10. Chapin SJ, Katramatos D, Karpovich J, Grimshaw AS (1999) The legion resource management system. In: IPDPS workshop on job scheduling strategies for parallel processing. Lecture notes in computer science, vol 1659, pp 162–178

  11. Casanova H, Dongarra J (1997) NetSolve: a network server for solving computational science problems. Int J Supercomput Appl High Perform Comput 11(3):21–223

    Google Scholar 

  12. Waheed A, Smith W, George J, Yan J (2000) An infrastructure for monitoring and management in computational grids. Lect Not Comput Sci 1915:235–245

    Article  Google Scholar 

  13. Haban D, Shin KG (2000) Application of real-time monitoring to scheduling tasks with random execution times. IEEE Trans Softw Eng 16:1374–1389

    Article  Google Scholar 

  14. Domingues P, Silva L, Silva JG (2003) DRMonitor—a distributed resource monitoring system. In: Proceeding of the eleventh euromicro conference on parallel, distributed and network-based processing, pp 127–133

  15. Bemmerl T, Lindhof R, Treml T (1990) The distributed monitor system of TOPSYS. In: Proceeding CONPAR, pp 756–765

  16. Knop MW, Paritosh PK, Dinda PA, Schopf JM (2001) Windows performance monitoring and data reduction using watchtower and argus. Technical Report NWU-CS-01-6, Department of Computer Science, Northwestern University

  17. Microsoft Corporation. Performance Data Helper Library, http://msdn.microsoft.com/library/enus/perfmon/base/performance_data_helper.asp

  18. Sun Microsystems, Inc. Overview of the JNI (Java Native Interface)

  19. Stevens RT (1990) Advanced fractal programming in C. M&T Books, pp 117–123

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Wonkwang University, 344-2 Shinyong-Dong, Iksan, Jeonbuk, 570-749, S. Korea

    Eun-Ha Song & Young-Sik Jeong

  2. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada

    Laurence T. Yang

Authors
  1. Eun-Ha Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Laurence T. Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Young-Sik Jeong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Young-Sik Jeong.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Song, EH., Yang, L.T. & Jeong, YS. 3-Hierarchical resource management model on web grid service architecture. J Supercomput 46, 257–275 (2008). https://doi.org/10.1007/s11227-008-0212-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-008-0212-2

Keywords

Search

Navigation