本文選題：云計(jì)算 + 多租戶　； 參考：《山東大學(xué)》2014年碩士論文

【摘要】：近年來,云計(jì)算得到了學(xué)術(shù)界和工業(yè)界的廣泛關(guān)注,作為一種新穎的軟件提供方式,軟件即服務(wù)(SaaS)的模式正變得日漸流行。隨著用戶個(gè)性化多樣化需求越來越多,面向多租戶的網(wǎng)絡(luò)應(yīng)用是未來應(yīng)用交付的主要形式。為了適應(yīng)復(fù)雜應(yīng)用開發(fā),企業(yè)中的應(yīng)用組件也向著模塊化、細(xì)粒度的方向發(fā)展。從而使得新的應(yīng)用構(gòu)建可以通過組件的按需組合來實(shí)現(xiàn)。因此,面向多租戶的服務(wù)組合是企業(yè)靈活構(gòu)建應(yīng)用的關(guān)鍵。然而,隨著云計(jì)算的發(fā)展,租戶的個(gè)性化和多樣化需求日益強(qiáng)烈,傳統(tǒng)的服務(wù)組合方法已不再適用,使得多租戶服務(wù)組合面臨諸多挑戰(zhàn)。主要表現(xiàn)為：由于用戶需求的多樣化,有的需求很抽象有的很具體,而呈現(xiàn)出多粒度性；SaaS模式下多租戶的特點(diǎn)使得幾乎每個(gè)租戶對(duì)應(yīng)用的需求都不一樣,定制的需求便得日趨強(qiáng)烈；多租戶的定制開發(fā)會(huì)帶來其他服務(wù)與現(xiàn)有服務(wù)之間的關(guān)聯(lián)關(guān)系；由于業(yè)務(wù)需求的變化,服務(wù)總是頻繁地從一個(gè)版本演化到另一個(gè)版本而呈現(xiàn)出的頻繁的演化。 為了解決上述挑戰(zhàn),本文提出了一個(gè)服務(wù)粒度空間模型,為多租戶服務(wù)組合提供了語義基礎(chǔ)。該服務(wù)粒度空間支持層次化,繼承,演化的關(guān)聯(lián)關(guān)系以及版本化的特點(diǎn),有效應(yīng)對(duì)云計(jì)算環(huán)境下多租戶服務(wù)組合的各種挑戰(zhàn)。一方面,該服務(wù)粒度空間能夠?qū)⒑Ａ繜o序的服務(wù)組織成層次化有序的結(jié)構(gòu),另一方面,利用該服務(wù)粒度空間能夠容易高效地開發(fā)多租戶SaaS應(yīng)用。另外,本文將所提出的方法用到基于SaaS的社保服務(wù)系統(tǒng)的開發(fā),實(shí)現(xiàn)了一個(gè)多租戶服務(wù)組合原型系統(tǒng)。 本文的主要工作和貢獻(xiàn)包括： 1)通過研究多租戶服務(wù)組合中存在的多粒度性,廣泛的定制,由定制引發(fā)的關(guān)聯(lián)以及頻繁的演化特點(diǎn),提出了一個(gè)支持層次化、繼承、演化的關(guān)聯(lián)關(guān)系以及版本化的服務(wù)粒度空間。該服務(wù)粒度空間不僅可以為服務(wù)組合提供語義基礎(chǔ),而且可以有效應(yīng)對(duì)云計(jì)算環(huán)境下構(gòu)建SaaS應(yīng)用時(shí)的多租戶服務(wù)組合的挑戰(zhàn)。 2)通過研究服務(wù)聚簇以及關(guān)聯(lián)挖掘技術(shù),提出了構(gòu)建服務(wù)粒度空間的方法并給出了實(shí)現(xiàn)個(gè)性化和演化的策略。該方法將海量無序的服務(wù)組織成有序的結(jié)構(gòu),能夠快速構(gòu)建多租戶應(yīng)用。 3)通過研究所提出的服務(wù)粒度空間特有的層次化特點(diǎn),提出了基于服務(wù)粒度空間的多租戶服務(wù)組合方案生成算法,在滿足租戶QoS需求的前提下保證得到多粒度的服務(wù)組合方案,實(shí)現(xiàn)租戶的多樣化需求。 4)由于服務(wù)空間規(guī)模巨大,在對(duì)服務(wù)組合方案中每個(gè)抽象服務(wù)選擇綁定具體服務(wù)時(shí)耗時(shí)過長(zhǎng),嚴(yán)重影響了多租戶服務(wù)組合的性能,為此提出了基于skyline計(jì)算的兩層服務(wù)空間裁剪的算法,使得服務(wù)組合性能大大提高。 本文基于SaaS的社保應(yīng)用構(gòu)建進(jìn)行了簡(jiǎn)單的原型系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn),對(duì)租戶的個(gè)性化定制操作進(jìn)行介紹；對(duì)提出的服務(wù)粒度空間的構(gòu)建,服務(wù)空間裁剪策略以及基于服務(wù)粒度空間的多租戶服務(wù)組合方法進(jìn)行了驗(yàn)證。
[Abstract]:In recent years, cloud computing has attracted wide attention from academic and industrial circles. As a new way of providing software, the model of software and service (SaaS) is becoming increasingly popular. With the increasing demand for personalized diversification of users, multi tenant oriented network applications are the main form of failure to apply delivery. In order to adapt to complex applications, In the development, the application components in the enterprise also develop in the direction of modularization and fine-grained. Thus, the new application construction can be realized through the combination of components. Therefore, the key to the flexible construction of the application is the multi tenant oriented service composition. However, with the development of cloud computing, the individual and diversified demands of the tenants are increasingly strong. The traditional service composition method is no longer applicable, making the multi tenant service combination face many challenges. The main performance is: the diversification of the user needs, some of the requirements very abstract and very specific, and presents a multi granularity; the characteristics of multi tenants in the SaaS model make it different from each tenant to the application. The demand is increasingly strong; the custom development of multi tenants will bring about the relationship between other services and existing services, and the frequent evolution of services from one version to another because of the change in business requirements.
In order to solve these challenges, this paper presents a service granularity spatial model, which provides a semantic basis for multi tenant service composition. The service granularity space supports hierarchical, inheriting, evolutionary Association and versioning characteristics. There are various challenges to the multi tenant service portfolio in the cloud computing environment. On the one hand, the service granularity is granularity. Space can organize massive disordered services into hierarchical and orderly structure, on the other hand, the use of the service granularity space can easily and efficiently develop multi tenant SaaS applications. In addition, the proposed method is used in the development of social security service system based on SaaS, and a multi tenant service combination prototype system has been realized.
The main work and contributions of this article include:
1) by studying the multi granularity, extensive customization, the association and the frequent evolution characteristics of the multi tenant service composition, a hierarchical, inherit, evolutionary correlation and versioning service granularity space is proposed. The service granularity space can not only provide semantic basis for service composition, but also the service granularity space. It has the effect of challenging the multi tenant service composition of SaaS applications in cloud computing environment.
2) through the study of service clustering and association mining technology, the method of building the service granularity space is proposed and the strategy of implementing personalization and evolution is given. This method will organize a large number of disordered services into an orderly structure, and can quickly construct multi tenant applications.
3) through the study of the special hierarchical characteristics of service granularity space proposed in this study, a multi tenant service combination scheme generation algorithm based on service granularity space is proposed, which guarantees the multi granularity of service portfolio to meet the tenant's QoS requirements, and realizes the diversity requirement of the tenants.
4) because of the large scale of service space, it takes too long time for each abstract service to bind specific services in the service composition scheme, which seriously affects the performance of the multi tenant service composition. Therefore, a two layer service space clipping algorithm based on Skyline computing is proposed, which greatly improves the performance of the service combination.
In this paper, the design and implementation of a simple prototype system based on the social security application of SaaS is designed and implemented, and the personalized custom operation of the tenant is introduced. The construction of service granularity space, the service space clipping strategy and the multi tenant service grouping method based on service granularity space are verified.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.09

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