發(fā)布時(shí)間：2019-04-19 22:38

【摘要】：為了準(zhǔn)確預(yù)測云應(yīng)用負(fù)載以便及時(shí)執(zhí)行云應(yīng)用自適應(yīng)優(yōu)化,從而保證云應(yīng)用性能的穩(wěn)定,根據(jù)云環(huán)境下應(yīng)用負(fù)載預(yù)測問題的特點(diǎn),提出了基于深度置信網(wǎng)絡(luò)的云應(yīng)用負(fù)載預(yù)測方法.首先給出能夠有效描述負(fù)載數(shù)據(jù)的顯式特征和隱式特征并定義了負(fù)載預(yù)測模型,進(jìn)而給出基于深度置信網(wǎng)絡(luò)的負(fù)載預(yù)測算法.對算法進(jìn)行了分析并在真實(shí)數(shù)據(jù)集上與相關(guān)算法進(jìn)行了比較,結(jié)果表明,本文提出的方法能夠更加有效地解決云應(yīng)用負(fù)載預(yù)測問題.
[Abstract]:In order to accurately predict cloud application load in order to perform cloud application adaptive optimization in a timely manner, so as to ensure the stability of cloud application performance, according to the characteristics of application load prediction problem in cloud environment, A cloud application load prediction method based on deep confidence network is proposed. Firstly, the explicit and implicit characteristics which can describe the load data effectively are given, and the load prediction model is defined. Then, the load prediction algorithm based on the depth confidence network is given. The algorithm is analyzed and compared with the related algorithms on the real data set. The results show that the proposed method can solve the problem of cloud application load prediction more effectively.
【作者單位】： 東北大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院;
【基金】：國家科技支撐計(jì)劃項(xiàng)目(2014BAI17B00) 國家自然科學(xué)基金資助項(xiàng)目(61572116,61572117,61502089)
【分類號(hào)】：TP393.09

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