ENHANCED GRID RESOURCE SELECTION MECHANISM

Adil Yousif, Abdul Hanan Abdullah, Muhammad Shafie Abd Latiff, Mohammed Bakri Bashir

Abstract

Resources in grid systems are heterogeneous, geographically distributed, belong to different administrative domains and apply different management policies. To manage resources in grid computing, efficient resource selection mechanism is required. In traditional non-reserved resource selection mechanisms, there is no guarantee that the job completion time will be as expected. On the other hand, in the reserved bidding process, conventional resource selection mechanisms waste providers resources and hence affect the overall grid system performance. We propose a new grid resource selection mechanism to achieve performance enhancement in the resource allocation process.

References

  1. Ahmed, A., Latiff, M., Bakar, K., and Rajion, Z. (2007). Adaptive resources selection framework for grid enabled visualization pipeline. IJCSNS, 7(12):114.
  2. Andrieux, A., Czajkowski, K., Dan, A., Keahey, K., Ludwig, H., Pruyne, J., Rofrano, J., Tuecke, S., and Xu, M. (2004). Web services agreement specification (wsagreement).
  3. Chang, R. S., Lin, C. F., and Chen, J. J. (2011). Selecting the most fitting resource for task execution. Future Generation Computer Systems, 27(2):227-231.
  4. Czajkowski, K., Foster, I., Kesselman, C., Sander, V., and Tuecke, S. (2002). Snap: A protocol for negotiating service level agreements and coordinating resource management in distributed systems. pages 153-183. Springer.
  5. Elmroth, E. and Tordsson, J. (2008). Grid resource brokering algorithms enabling advance reservations and resource selection based on performance predictions. Future Generation Computer Systems, 24(6):585- 593.
  6. Elmroth, E. and Tordsson, J. (2009). A standards-based grid resource brokering service supporting advance reservations, coallocation, and cross-grid interoperability. Concurrency Computation Practice and Experience, 21(18):2298-2335.
  7. Foster, I. and Kesselman, C. (2004). The grid: blueprint for a new computing infrastructure. Morgan Kaufmann.
  8. Habibi, B. N. and Jafar (2009). Bidding strategically for scheduling in grid systems. Journal of Information Processing Systems, 5(2):87-96.
  9. Haji, M., Djemame, K., and Dew, P. (2006). Deployment and performance evaluation of a snap-based resource broker on the white rose grid. volume 2, pages 3365- 3370. IEEE.
  10. Haji, M. H., Gourlay, I., Djemame, K., and Dew, P. M. (2005). A snap-based community resource broker using a three-phase commit protocol: A performance study. Computer Journal, 48(3):333-346.
  11. Harold, R. and Loukides, M. (2000). Java network programming. O'Reilly & Associates, Inc. Sebastopol, CA, USA.
  12. Hongbo, Z., Hai, J., Zongfen, H., Jing, T., and Xuanhua, S. (2005). A virtual-service-domain based bidding algorithm for resource discovery in computational grid. In Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on, pages 50-53.
  13. Iamnitchi, A. and Foster, I. (2001). On fully decentralized resource discovery in grid environments. Grid ComputingGRID 2001, pages 51-62.
  14. Krauter, K., Buyya, R., and Maheswaran, M. (2002). A taxonomy and survey of grid resource management systems for distributed computing. Software: Practice and Experience, 32(2):135-164.
  15. Park, J. and Kang, J. (2007). Optimization of xquery queries including for clauses. page 37. IEEE.
  16. Schnizler, B. (2007). Resource Allocation in the Grid: A Market Engineering Approach. Univ.-Verl. Karlsruhe.
  17. Vilajosana, X. (2008). Bidding support for computational resources. pages 309-314. IEEE.
  18. Wang, C.-M., Chen, H.-M., Hsu, C.-C., and Lee, J. (2010). Dynamic resource selection heuristics for a non-reserved bidding-based grid environment. Future Generation Computer Systems, 26(2):183-197.
  19. Yousif, A., Abdullah, A. H., and Ahmed, A. A. (2011). Article: A bidding-based grid resource selection algorithm using single reservation mechanism. International Journal of Computer Applications, 16(4):39- 43. Published by Foundation of Computer Science.
  20. Yuesheng, T., Lu, H., and Jingyu, W. (2009). Research of the xml-based personal resource description in grid computing. volume 2, pages 639-641. IEEE.
Download


Paper Citation


in Harvard Style

Yousif A., Hanan Abdullah A., Shafie Abd Latiff M. and Bakri Bashir M. (2011). ENHANCED GRID RESOURCE SELECTION MECHANISM . In Proceedings of the 6th International Conference on Software and Database Technologies - Volume 1: ICSOFT, ISBN 978-989-8425-76-8, pages 226-229. DOI: 10.5220/0003606202260229


in Bibtex Style

@conference{icsoft11,
author={Adil Yousif and Abdul Hanan Abdullah and Muhammad Shafie Abd Latiff and Mohammed Bakri Bashir},
title={ENHANCED GRID RESOURCE SELECTION MECHANISM},
booktitle={Proceedings of the 6th International Conference on Software and Database Technologies - Volume 1: ICSOFT,},
year={2011},
pages={226-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003606202260229},
isbn={978-989-8425-76-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Software and Database Technologies - Volume 1: ICSOFT,
TI - ENHANCED GRID RESOURCE SELECTION MECHANISM
SN - 978-989-8425-76-8
AU - Yousif A.
AU - Hanan Abdullah A.
AU - Shafie Abd Latiff M.
AU - Bakri Bashir M.
PY - 2011
SP - 226
EP - 229
DO - 10.5220/0003606202260229