云計算資源調(diào)度算法的研究

云計算資源調(diào)度算法的研究

ID:33799896

大?。?.48 MB

頁數(shù):46頁

時間:2019-03-01

云計算資源調(diào)度算法的研究_第1頁
云計算資源調(diào)度算法的研究_第2頁
云計算資源調(diào)度算法的研究_第3頁
云計算資源調(diào)度算法的研究_第4頁
云計算資源調(diào)度算法的研究_第5頁
資源描述:

《云計算資源調(diào)度算法的研究》由會員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。

1、AbstractAbstractCloudcomputingisonekindofcalculationmodeswhichrealizestheaccessingtoasharedresourcepoolthroughtheInternet.Asoneofthecoretechnologiesofcloudcomputing,thepropertyoftheresourceschedulingstrategyaffectstheworkingperformanceandsystemstabilityofthecloudcomput

2、ingenvironmentdirectly.Consideringthecomplexandheterogeneouscloudcomputingenvironment,alotofproblemsexistinseveralresearchaspectsofcloudresourceschedulingsuchasloadbalancing,userservicequalityandsystemenergyconsumption.Inordertosolveaboveproblems,efficientalgorithmsofc

3、loudcomputingresourceschedulingshouldbeproducedtoscheduledatacenterresourcesrationally.Throughsuchalgorithms,thesystemperformancecanbeimproved,whilethequalityofserviceswouldbealsoenhanced.(1)In-depthanalysisofthecloudcomputingandthestructureoftheschedulingsystemarepres

4、ented.Deepresearchesareanalyzedinthreeaspectsofcloudcomputingresources:schedulingloadbalancing,customerservicequalityandsystemenergyconsumption.Atthesametime,otherrelevantalgorithmsarealsoanalyzedandcompared.(2)Withsufficientknowledgeofcloudcomputingtheoryandthecloudco

5、mputingresourceschedulingprocess,thisarticlecomparestheprincipleandimplementationprocessofthreeclassiccloudcomputingresourceschedulingalgorithms,suchasadvancedfirstschedulingalgorithm,fairschedulingalgorithmandcomputingpowerschedulingalgorithm.(3)Animprovedcloudcomputi

6、ngresourceschedulingalgorithmisproposedinthisarticle.Onthebasisofthehybridgeneticalgorithm,theperformanceevaluationfunctionofloadbalanceandthenumberofmigrationisanalyzed.Inviewoftheshortageofdifferenceofevaluationfunctionwithdifferentchromosomes,animprovedevaluationfun

7、ctionispresented.Throughincreasingtheoptimalperformancebetweenthedifferentchromosomes,theconvergenceofthealgorithmisimproved,whichshortensthetimeoftaskscheduling.(4)Inaddition,anevaluationfunctionofmemoryutilizationisgiveninthisarticle.Withcombinationofthememoryutiliza

8、tionandphysicalmachinenumber,theconvergenceoftheapplicationofhybridgeneticalgorithmtooptimizememoryutilizationincloud

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學(xué)公式或PPT動畫的文件,查看預(yù)覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負(fù)責(zé)整理代發(fā)布。如果您對本文檔版權(quán)有爭議請及時聯(lián)系客服。
3. 下載前請仔細(xì)閱讀文檔內(nèi)容,確認(rèn)文檔內(nèi)容符合您的需求后進(jìn)行下載,若出現(xiàn)內(nèi)容與標(biāo)題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡(luò)波動等原因無法下載或下載錯誤,付費(fèi)完成后未能成功下載的用戶請聯(lián)系客服處理。