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SaaS云服務(wù)彈性特征測(cè)試方法的研究與實(shí)現(xiàn)

發(fā)布時(shí)間:2018-05-17 08:47

  本文選題:SaaS云服務(wù) + 彈性特征測(cè)試 ; 參考:《內(nèi)蒙古大學(xué)》2016年碩士論文


【摘要】:隨著云服務(wù)的普及,客戶可以根據(jù)實(shí)際需求向云服務(wù)提供商定購(gòu)所需的應(yīng)用軟件服務(wù),并通過互聯(lián)網(wǎng)獲得云服務(wù)提供商提供的服務(wù)。云服務(wù)采用即付即用(pay-as-you-go model)模型,云服務(wù)提供商計(jì)算各資源(CPU、內(nèi)存和公網(wǎng)帶寬等)的使用總量,最后按不同資源的使用費(fèi)用標(biāo)準(zhǔn)計(jì)算出總的使用云端資源的費(fèi)用。彈性是指云服務(wù)提供商會(huì)根據(jù)應(yīng)用負(fù)載的增加或減少實(shí)時(shí)地增加或移除云資源,這使云端資源得到了合理有效地利用,避免了資源的浪費(fèi)。云端的資源浪費(fèi)少了,用戶需要支付的SaaS云端資源使用費(fèi)用也就少了,確保了用戶的利益。彈性是隨著用戶負(fù)載的變化云端分配給用戶云端資源的自由伸縮性,很多云提供商都聲稱彈性是他們擁有的優(yōu)點(diǎn),但對(duì)于用戶來說無法考量所使用的云平臺(tái)的彈性水平。云端資源的使用情況對(duì)用戶是不透明的,云服務(wù)用戶為了滿足系統(tǒng)的正常運(yùn)行,通常一直申請(qǐng)用戶認(rèn)為能足夠滿足用戶最大需求的云端資源,這將造成不必要的云端資源的浪費(fèi)。因此,本論文針對(duì)云服務(wù)的彈性特征提出一種彈性測(cè)試方法,即從云端資源的使用情況角度評(píng)測(cè)云服務(wù)的彈性水平,對(duì)比分析不同用戶負(fù)載下的云端資源使用情況,給出彈性的云端資源分配方案,云服務(wù)用戶可以根據(jù)自身的需求變化申請(qǐng)所需的云資源,避免云資源的浪費(fèi)。論文主要完成以下三方面的工作:(1)針對(duì)云服務(wù)彈性特征測(cè)試需求的測(cè)試?yán)桑夯贚oadRunner編寫云用戶請(qǐng)求云服務(wù)腳本模擬單個(gè)用戶請(qǐng)求云服務(wù),將運(yùn)行測(cè)試?yán)傻挠脩糌?fù)載加載到Hadoop技術(shù)搭建的云端。(2)基于dstat的云端彈性資源的監(jiān)控:首先在云端部署性能監(jiān)控工具dstat,然后在模擬的用戶負(fù)載加載到云端的過程中實(shí)時(shí)監(jiān)控云端資源的使用情況,最后將監(jiān)控到的云端資源的使用情況的數(shù)據(jù)導(dǎo)出生成折線圖,方便對(duì)彈性性能測(cè)試結(jié)果的分析。(3)彈性性能測(cè)試的執(zhí)行及測(cè)試結(jié)果的分析:通過對(duì)比分析不同的測(cè)試?yán)?fù)載運(yùn)行過程中云端彈性資源的使用情況圖形,得出彈性云端資源分配方案。用戶可以根據(jù)自身的需求變化申請(qǐng)所需的云端資源,這樣既保證了云服務(wù)的質(zhì)量,也避免了云端資源的浪費(fèi)。
[Abstract]:With the popularity of cloud services, customers can order the required application software services from cloud service providers according to their actual needs, and obtain the services provided by cloud service providers through the Internet. The cloud service adopts pay-as-you-go model. The cloud service provider calculates the total amount of each resource CPU, memory and public network bandwidth, etc. Finally, the total cost of using cloud resources is calculated according to the cost standard of different resources. Elasticity means that cloud service providers increase or remove cloud resources in real time according to the increase or decrease of application load, which makes cloud resources be used reasonably and effectively, and the waste of resources is avoided. The waste of resources in the cloud is reduced, and the cost of using SaaS cloud resources is reduced, which ensures the interests of users. Elasticity is the free scalability of cloud resources assigned to users with the change of user load. Many cloud providers claim that flexibility is their advantage, but for users, the level of flexibility of the cloud platform can not be considered. The use of cloud resources is opaque to users. In order to meet the normal operation of the system, cloud service users usually apply for cloud resources that the users think can meet the maximum needs of users. This will result in unnecessary waste of cloud resources. Therefore, this paper proposes an elastic testing method for cloud service elasticity, which is to evaluate cloud service elasticity level from the perspective of cloud resource usage, and to compare and analyze cloud resource usage under different user loads. A flexible cloud resource allocation scheme is presented. Cloud service users can apply for cloud resources according to their own needs and avoid the waste of cloud resources. This paper mainly completes the following three aspects of work: 1) Generation of test cases for the test requirements of cloud service elasticity: writing cloud user request cloud service script based on LoadRunner to simulate a single user requesting cloud service, Load the user load generated by the running test case into the cloud built by Hadoop technology) Monitoring of cloud elastic resources based on dstat: first deploy the performance monitoring tool dstat in the cloud, then load the simulated user load into the cloud The program monitors the use of cloud resources in real time. Finally, the data of the monitored use of cloud resources are exported to generate a broken line diagram. It is convenient to analyze the test results of elastic properties. (3) the execution of elastic performance tests and the analysis of test results: by comparing and analyzing the usage of cloud elastic resources in the load running process of different test cases, The flexible cloud resource allocation scheme is obtained. Users can apply for cloud resources according to their needs, which not only guarantees the quality of cloud services, but also avoids the waste of cloud resources.
【學(xué)位授予單位】:內(nèi)蒙古大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TP393.09

【相似文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 魏麗佳;SaaS云服務(wù)彈性特征測(cè)試方法的研究與實(shí)現(xiàn)[D];內(nèi)蒙古大學(xué);2016年

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本文編號(hào):1900728

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