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https://doi.org/10.2498/cit.1001402

HGRID: A Self-configuring Grid Resource Discovery

Antonia Gallardo
Luis M. Diaz de Cerio
Kana Sanjeevan

Puni tekst: engleski, pdf (1 MB) str. 333-338 preuzimanja: 687* citiraj
APA 6th Edition
Gallardo, A., Diaz de Cerio, L.M. i Sanjeevan, K. (2008). HGRID: A Self-configuring Grid Resource Discovery. Journal of computing and information technology, 16 (4), 333-338. https://doi.org/10.2498/cit.1001402
MLA 8th Edition
Gallardo, Antonia, et al. "HGRID: A Self-configuring Grid Resource Discovery." Journal of computing and information technology, vol. 16, br. 4, 2008, str. 333-338. https://doi.org/10.2498/cit.1001402. Citirano 04.03.2021.
Chicago 17th Edition
Gallardo, Antonia, Luis M. Diaz de Cerio i Kana Sanjeevan. "HGRID: A Self-configuring Grid Resource Discovery." Journal of computing and information technology 16, br. 4 (2008): 333-338. https://doi.org/10.2498/cit.1001402
Harvard
Gallardo, A., Diaz de Cerio, L.M., i Sanjeevan, K. (2008). 'HGRID: A Self-configuring Grid Resource Discovery', Journal of computing and information technology, 16(4), str. 333-338. https://doi.org/10.2498/cit.1001402
Vancouver
Gallardo A, Diaz de Cerio LM, Sanjeevan K. HGRID: A Self-configuring Grid Resource Discovery. Journal of computing and information technology [Internet]. 2008 [pristupljeno 04.03.2021.];16(4):333-338. https://doi.org/10.2498/cit.1001402
IEEE
A. Gallardo, L.M. Diaz de Cerio i K. Sanjeevan, "HGRID: A Self-configuring Grid Resource Discovery", Journal of computing and information technology, vol.16, br. 4, str. 333-338, 2008. [Online]. https://doi.org/10.2498/cit.1001402

Sažetak
Grid Resource Discovery Service is a fundamental problem that has been the focus of research in the recent past. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery able to handle dynamic attributes such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system, even in the presence of non-alive nodes (inaccessible, crashed or nodes loaded by heavy traffic). We analyze the static resilience of the approach presented, which is the measure of how well the algorithm can discover resources without having to update the routing tables. The results show that the presented approach has significantly high static resilience.

Hrčak ID: 44586

URI
https://hrcak.srce.hr/44586

Posjeta: 861 *