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基于計(jì)算資源運(yùn)行時(shí)剩余能力評(píng)估優(yōu)化云平臺(tái)

發(fā)布時(shí)間:2018-07-26 07:03
【摘要】:云平臺(tái)資源管理中存在資源供給與需求不匹配的問題,導(dǎo)致平臺(tái)性能受到嚴(yán)重影響.針對(duì)此問題,基于相似任務(wù)建立運(yùn)行時(shí)計(jì)算資源剩余能力評(píng)估模型,該模型利用云計(jì)算負(fù)載中相似任務(wù)執(zhí)行邏輯相同的特點(diǎn),使用相似任務(wù)代替測試程序量化資源剩余能力,避免了執(zhí)行測試程序的計(jì)算資源代價(jià);依據(jù)該模型提出了一種運(yùn)行時(shí)云計(jì)算資源剩余能力分類評(píng)估方法 RCE(resource capacity evaluation),該方法綜合各方面因素評(píng)估運(yùn)行時(shí)資源剩余能力,具有運(yùn)行時(shí)代價(jià)低、評(píng)估結(jié)果準(zhǔn)確且有時(shí)效性的特點(diǎn).將RCE評(píng)估結(jié)果應(yīng)用在若干算法中,以提高云平臺(tái)資源供給與需求的匹配程度并優(yōu)化云平臺(tái)各方面性能;在獨(dú)享環(huán)境和真實(shí)云環(huán)境中驗(yàn)證了RCE方法和基于RCE的算法,實(shí)驗(yàn)結(jié)果表明:RCE評(píng)估結(jié)果及時(shí)反映了計(jì)算資源能力變化,為算法和平臺(tái)的優(yōu)化提供了有力支持,基于RCE優(yōu)化的算法解決了云計(jì)算資源管理中資源供給與需求不匹配問題并大幅提高云計(jì)算平臺(tái)性能.
[Abstract]:The problem of resource supply and demand mismatch in cloud platform resource management results in a serious impact on platform performance. To solve this problem, a run-time computing resource residual capability evaluation model is established based on similar tasks. The model utilizes the same logic of similar tasks in cloud computing load, and uses similar tasks instead of testing programs to quantify resource residual ability. Based on this model, a method of classifying and evaluating the residual capability of cloud computing resources at run time, RCE (resource capacity evaluation), is proposed, which synthesizes various factors to evaluate the capability of resource surplus at run time. It has the characteristics of low operating time price, accurate evaluation results and timeliness. The RCE evaluation results are applied to several algorithms to improve the matching degree between resource supply and demand of cloud platform and optimize the performance of cloud platform in all aspects, and verify the RCE method and the algorithm based on RCE in the exclusive environment and real cloud environment. The results of the experiment show that the results of the RCE evaluation reflect the change of computing resources in time, and provide strong support for the optimization of algorithms and platforms. The algorithm based on RCE solves the problem of resource supply and demand mismatch in cloud computing resource management and greatly improves the performance of cloud computing platform.
【作者單位】: 西安交通大學(xué)電子與信息工程學(xué)院;
【基金】:國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFB0200902) 國家自然科學(xué)基金項(xiàng)目(61572394)~~
【分類號(hào)】:TP301.6
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本文編號(hào):2145228

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