Quality of Service in Meta Cloud
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ju Chan Na | - |
dc.contributor.author | G. Pavan Kumar | - |
dc.date.available | 2020-02-28T14:44:03Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2015-09 | - |
dc.identifier.issn | 2508-9080 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11822 | - |
dc.description.abstract | The cloud computing paradigm has achieved widespread adoption in recent years. Its success is due for the most part to customers’ ability to use services on demand with a pay-as-you go evaluation model, that has tried convenient in several respects. Low prices and high flexibility create migrating to the cloud compelling. Despite its obvious benefits, however, several firms hesitate to “move to the cloud,” principally thanks to issues associated with service availableness, information lock-in, and legal uncertainties.1 Lock in is especially problematic. For one issue, albeit public cloud availableness is usually high, outages still occur.2 Businesses bolted into such a cloud ar basically at a standstill till the cloud is back on-line. Moreover, public cloud suppliers typically don’t guarantee explicit service level agreements (SLAs)3 — that's, businesses bolted into a cloud don't have any guarantees that it'll still give the desired quality of service (QoS). Finally, most public cloud suppliers’ terms of service let that provider unilaterally amendment evaluation at any time. Hence, a business bolted into a cloud has no mid- or long run management over its own IT prices. At the core of of these issues, able to} determine a requirement for businesses to for good monitor the cloud they’re victimization and be able to quickly “change horses” — that's, migrate to a distinct cloud if they discover issues or if their estimates predict future problems. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 사단법인 아태인문사회융합기술교류학회 | - |
dc.relation.isPartOf | 아시아태평양융합연구교류논문지 | - |
dc.title | Quality of Service in Meta Cloud | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.identifier.doi | 10.21742/APJCRI.2015.09.05 | - |
dc.identifier.bibliographicCitation | 아시아태평양융합연구교류논문지, v.1, no.3, pp.53 - 57 | - |
dc.identifier.kciid | ART002264597 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 57 | - |
dc.citation.startPage | 53 | - |
dc.citation.title | 아시아태평양융합연구교류논문지 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 3 | - |
dc.contributor.affiliatedAuthor | Ju Chan Na | - |
dc.subject.keywordAuthor | Widespread | - |
dc.subject.keywordAuthor | Despite | - |
dc.subject.keywordAuthor | Flexibility | - |
dc.subject.keywordAuthor | Amendment | - |
dc.subject.keywordAuthor | Unilaterally | - |
dc.description.journalRegisteredClass | other | - |
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