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Abstrakty
Grid computing is a fast evolving technology, bringing more computing power to its users. Two main directions are observable: creating dedicated supercomputers for scientific and commercial tasks and creating distributed commodity-based systems. The first ones are usually much expensive, but have the advantage of performance, better control and uniformity in platforms. The second one is more afiordable but lacks in fiexibility and easy maintenance. The computing necessities that often require supplementary computing power for certain time periods are better satisfied by interconnecting available resources than buying new, expensive ones. But interconnecting platforms - sometimes radically difierent - can be a dificult task. The proliferation of hybrid parallel computing systems can be even more complicated because it puts in contact systems with various operating ?ows at the parallelism level. In this frame, the present article proposes a new middleware architecture that can connect multiple parallel or distributed resources, of difierent types, allowing unitary resource utilization and reservation for the user's jobs. The new architecture is described functionally and structurally.
Czasopismo
Rocznik
Tom
Strony
39--45
Opis fizyczny
Bibliogr. 10 poz.
Twórcy
autor
autor
- Electrical Engineering and Computer Sciences Faculty, "Stefan cel Mare" University, ovidiug@usv.ro
Bibliografia
- [1] O. Gherman, I. Ungurean, and S. G. Pentiuc,“Principles of interconnecting a hybrid cluster in a grid system,” 7th edition of National Scientific Conference Distributed Systems, No. 7, Dec 2009.
- [2] N. Fujimoto and K. Hagihara, “A comparison among grid scheduling algorithms for independent coarse-grained tasks,” International Symposium on Applications and Internet Workshps SAINT 2004, 2004.
- [3] I. Goiri, F. Julia, O. Fito, M. Macias, and J. Guitart, “Resource-level QoS metric for CPU-based guarantees in cloud providers,” 7th International Workshop on Economics of Grids, Clouds, Systems and Services GECON 2010, No. 7, 2010.
- [4] S. Kalepu, S. Krishnaswamy, and S. W. Loke, “Verity: a QoS metric for selecting web services and providers,” 4th International Conference on Web Information Systems Engineering Workshops WISEW’03, No. 4, 2003.
- [5] O. Gherman, I. Ungurean, S. G. Pentiuc, and O. Vultur, “Data communication in a HPC hybrid cluster and performance evaluation,” 10th International Conference on Development and Application Systems DAS 2010, No. 10, May 2010.
- [6] C. Dabrowski, “Reliability in grid computing systems,” The Special Issue of the Open Grid Forum (OGF) Journal – Concurrency and Computation: Practice and Experience, Vol. Volume 21, No. 8, 2009.
- [7] K. Koch, “Roadrunner platform overview,”Roadrunner Technical Seminar Series, Los Alamos National Laboratory, SUA, Technical report, 2008.
- [8] C. Kessler, “Programming techniques for the cell processor,” Multicore Day Seminar, Sweden, Technical report, 2009.
- [9] T. Tannenbaum, D. Wright, K. Miller, and M. Livny, “Condor – a distributed job scheduler,” http://www.cs.wisc.edu/condor/doc/beowulf-chapter-rev1.pdf, 2001, chapter 15, research project at the Unversity of Wisconsin-Madison.
- [10] R. Buyya, D. Abramson, and J. Giddy, “An economy driven resource management architecture for global computational power grids,” Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications PDPTA 2000, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW7-0024-0003