10.5120/18949-0080 |
Humera Bashir, Sadiq Ali Khan and Shaista Rais. Article: A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing. International Journal of Computer Applications 108(10):25-30, December 2014. Full text available. BibTeX
@article{key:article, author = {Humera Bashir and Sadiq Ali Khan and Shaista Rais}, title = {Article: A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing}, journal = {International Journal of Computer Applications}, year = {2014}, volume = {108}, number = {10}, pages = {25-30}, month = {December}, note = {Full text available} }
Abstract
The Grid technology is flowing into large scale service oriented architecture-- a universal podium for delivering future high demand computational services. The management of resources and requests scheduling in this big range distributed environment is a complicated job, no contemplation may result in efficiency deprivation in a Grid environment and may possibly bring about big handling queues and task running delays. This paper outlines a simple and straight forward approach to incrementally maintain the area of Grid technology addressing challenges related to the problem of maintaining a Grid wide view of Grid user's resource utilization. To remain flexible this paper presents a SOA- Based RIADA (Resource Intensive and Data Aware) approach for providing a basis for more efficient and user friendlier management of resources and resource scheduling techniques in a future Grid offering a rich blend of diverse applications.
References
- Klaus K, R buyya and M Maheswaran. A taxonomy and survey of Grid resource management systems for distributed computing 2002. Softw. Pract. Exper. , 32:135-164.
- Sinha PK. Distributed Operating Systems: Concepts and Design. 1997. IEEE Press: NewYork, NY.
- Vahdat A. Toward wide-area resource allocation Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications. 1999. 02:930-936.
- Czakowski, K. , Foster, I. , Karonis, N. , Kesselman, C. , Martin, S. , Smith, W. , Tuecke, S. A Ressource management architecture for metacomputing systems. In 4th Workshop on job scheduling strategies for Parallel Processing. Orlando, FL, 1998.
- Buyya, R. , Abramson, D. , Giddy, J. Nimrod/G. An Architecture for a Resource Management and Scheduling System in a Global Computational Grid. In: International Conference on High Performance Computing in Asia—Pacific Region (HPC Asia 2000). Beijing , China, 2000(IEEE Computer Society)
- Nabrzyski, J. , Schopf, J. M. , Weglarz. , J. (eds). Grid Resource Management. Kluwer, Boston, MA 2003(Fall)
- Andretto, P. , Borgia, S. , Dorigo, A. , Gianelle, A. , Mordacchini, M. , et al. Practical approaches to Grid workload & resource management in the EGEE project. In. CHEP 2004, Interlaken, Switzerland, 2005.
- http://www. glite. org/, May 2006. European Data Grid Project http://eu-dataGrid. web. cern. ch/eu-dataGrid/
- Huedo, E. , Montero, R. S. , Liorente, I. M. A Framework for adaptive execution on Grids. Softw. Prac. Exp. 2004. 34, 631-651.
- Dss Sun Grid Engine , http://www. sun. com/software/Gridware/
- Manikandan. T. , Thamizharasi, M. , Chitra, R. Distributed Heterogeneous Data Management in Grid Computing .
- Alexandre, D. , Christian, P. , Thierry, P. Network Communications in Grid Computing: At a Crossroads Between Parallel and Distributed Worlds.
- Ian, F. , Carl, K. , Steven, T. The Anatomy of the Grid Enabling Scalable Virtual Organizations.
- Chervenak, A. , Ian, F. , Carl. K. , Salisbury, C. ,Tuecke, S. The data Grid: Towards an architecture for the distributed management and analysis of large scientific datasets.
- J. Nabrzyski, J. M. Schopf, J. Weglarz (Eds). Grid Resource Management. Kluwer Published, Fall 2003.
- Andretto, P. ,Borgia, S. , Dorigo, A. , Gianelle, A. , Mordacchini ,M. , et al. Practical Approaches to Grid Workload & Resource Management in the EGEE Project, CHEP04, Interlaken, Switzerland.
- European Data Grid Project: http://eu-dataGrid. web. cern. ch/eu-dataGrid/
- Basney, J. , Livny, L. , Mazzanti, P. , Utilizing Widely Distributed Computational Resources Efficiently with Execution Domains. Computer Physics Communications, 2001.
- Brooke, J. ,Fellows, D. , MacLaren, J. Resource Brokering: The EUROGRID/GRIP Approach, UK e-Science All Hands Meeting, Nottingham, UK, 31 Aug. - 3 Sep. 2004
- Globus Alliance (2005), Globus Toolkit 4. 0 (GT4). http://www-unix. globus. org/toolkit/docs/4. 0/GT4Facts/.
- Foster, I. , Kesselman, C. , Nick, J. M. &Tuecke, S. (2002), The Physiology of the Grid: An Open Grid Service Archetecture for Distributed Systems Integration. http://www. globus. org/research/papers/ogsa. pdf.
- Foster, I. , Czajkowski, K. , Ferguson, D. , Frey, J. , Graham, S. , Maguire, T. , Snelling, D. and Tuecke, S. (2005), 'Modeling and managing state in distributed systems: the role of ogsi and wsrf', Proceedings of the IEEE 93(3), 604–612.
- Emmerich, W. , Butchart, B. , Chen, L. , Wassermann, B. and Price, S. (2005). Grid Service Orchestration using the Business Process Execution Language (BPEL). Journal of Grid Computing, 3(3-4):283-304.
- Frey, J. , et al. , "Condor-G: A Computation Management Agent for Multi-Institutional Grids," Cluster Computing, vol. 5, 2002, pp. 237-246.