Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/21406
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zarrin, Javad | pt |
dc.contributor.author | Aguiar, Rui L. | pt |
dc.contributor.author | Barraca, João Paulo | pt |
dc.date.accessioned | 2018-01-10T14:42:04Z | - |
dc.date.available | 2018-01-10T14:42:04Z | - |
dc.date.issued | 2018-03-12 | - |
dc.identifier.issn | 0743-7315 | pt |
dc.identifier.uri | http://hdl.handle.net/10773/21406 | - |
dc.description.abstract | Large-scale distributed computing environments provide a vast amount of heterogeneous computing resources from different sources for resource sharing and distributed computing. Discovering appropriate resources in such environments is a challenge which involves several different subjects. In this paper, we provide an investigation on the current state of resource discovery protocols, mechanisms, and platforms for large-scale distributed environments, focusing on the design aspects. We classify all related aspects, general steps, and requirements to construct a novel resource discovery solution in three categories consisting of structures, methods, and issues. Accordingly, we review the literature, analyzing various aspects for each category. | pt |
dc.language.iso | eng | pt |
dc.publisher | Elsevier | pt |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/248465/EU | pt |
dc.rights | openAccess | por |
dc.subject | Distributed systems | pt |
dc.subject | Resource description | pt |
dc.subject | Resource sharing | pt |
dc.subject | HPC | pt |
dc.subject | Grid computing | pt |
dc.subject | P2P | pt |
dc.title | Resource discovery for distributed computing systems: A comprehensive survey | pt |
dc.type | article | pt |
dc.peerreviewed | yes | pt |
ua.distribution | international | pt |
degois.publication.firstPage | 127 | pt |
degois.publication.lastPage | 166 | pt |
degois.publication.title | Journal of Parallel and Distributed Computing | pt |
degois.publication.volume | 113 | pt |
dc.identifier.doi | 10.1016/j.jpdc.2017.11.010 | pt |
Appears in Collections: | DETI - Artigos IT - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Manuscript.pdf | 1.52 MB | Adobe PDF | View/Open |
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