High Performance Fault Tolerant Resource Scheduling in Computational Grid Environment

Autor/inn/en	Goswami, Sukalyan; Mukherjee, Kuntal
Titel	High Performance Fault Tolerant Resource Scheduling in Computational Grid Environment
Quelle	In: International Journal of Web-Based Learning and Teaching Technologies, 15 (2020) 1, S.73-87, Artikel 4 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1548-1093
DOI	10.4018/IJWLTT.2020010104
Schlagwörter	Mathematics; Scheduling; Computation; Resources; Matrices; Information Technology; Problem Solving; Performance; Coding + Suchen Sie Ihr Suchwort? Mathematik; Disposition; Betriebsmittel; Hilfsmittel; Matrizenrechnung; Informationstechnologie; Problemlösen; Achievement; Leistung; Codierung; Programmierung
Abstract	Virtual resources team up to create a computational grid, which is used in computation-intensive problem solving. A majority of these problems require high performance resources to compute and generate results, making grid computation another type of high performance computing. The optimization in computational grids relates to resource utilization which in turn is achieved by the proper distribution of loads among participating resources. This research takes up an adaptive resource ranking approach, and improves the effectiveness of NDFS algorithm by scheduling jobs in those ranked resources, thereby increasing the number of job deadlines met and service quality agreements met. Moreover, resource failure is taken care of by introducing a partial backup approach. The benchmark codes of Fast Fourier Transform and Matrix Multiplication are executed in a real test bed of a computational grid, set up by Globus Toolkit 5.2 for the justification of propositions made in this article. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01