dc.creatorGranja
dc.creatorElias de O.
dc.creatorJr.; Bittencourt
dc.creatorLuiz F.; Petri
dc.creatorIoan; Rana
dc.creatorOmer F.; Melo
dc.creatorCesar A. V.
dc.date2016
dc.date2017-11-13T13:44:41Z
dc.date2017-11-13T13:44:41Z
dc.date.accessioned2018-03-29T05:59:21Z
dc.date.available2018-03-29T05:59:21Z
dc.identifier978-1-5090-2619-7
dc.identifierProceedings Of 2016 Ieee 9th International Conference On Cloud Computing (cloud). Ieee, p. 855 - 858, 2016.
dc.identifier2159-6182
dc.identifierWOS:000399156200112
dc.identifier10.1109/CLOUD.2016.120
dc.identifierhttp://ieeexplore.ieee.org/document/7820359/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/328833
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1365858
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionAs multimedia traffic provides the dominating data flows on Internet channels nowadays, on-demand video streaming has also grown in popularity. Users watching on-demand streams are interested in receiving their video streams without interruption and at low cost. To achieve this, video providers need to build computational infrastructure that can adapt to changes in demand. This paper presents an architecture to build synergy between Peer-to-Peer and Cloud Computing systems to achieve the necessary throughput for video-on-demand providers with reduced costs. We propose heuristics that overcome lack of stability in P2P systems by the inclusion of cloud servers into the pool of video streaming servers, avoiding disruptions (stalls) even when the total number of servers are reduced. Simulation results show that the proposed heuristic strategies can help reduce costs while maintaining quality of service.
dc.description855
dc.description858
dc.descriptionCNPq
dc.descriptionSao Paulo Research Foundation (FAPESP) [2015/16332-8]
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description9th IEEE International Conference on Cloud Computing (CLOUD)
dc.descriptionJUN 27-JUL 02, 2016
dc.descriptionSan Francisco, CA
dc.description
dc.languageEnglish
dc.publisherIEEE
dc.publisherNew York
dc.relationProceedings of 2016 IEEE 9th International Conference on Cloud Computing (Cloud)
dc.rightsfechado
dc.sourceWOS
dc.subjectCloud Computing
dc.subjectPeer-to-peer
dc.subjectVideo-on-demand
dc.titleManaging Qos Constraints In A P2p-cloud Video On Demand System
dc.typeActas de congresos


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