本文選題：Web服務(wù) + Quality�。� 參考：《昆明理工大學(xué)》2014年碩士論文

【摘要】：Web服務(wù)是由URI標識的一種應(yīng)用軟件,可以在網(wǎng)絡(luò)上宣傳、定位、并通過一系列消息機制建立連接。Web服務(wù)常通過彼此協(xié)作構(gòu)建更復(fù)雜的應(yīng)用程序,他們需要用功能屬性和服務(wù)質(zhì)量(QoS)屬性加以描述。隨著Web服務(wù)的不斷發(fā)展,有越來越多的服務(wù)具有相似或相同的使用功能。為了方便和加快Web服務(wù)的發(fā)現(xiàn),將功能相似的Web服務(wù)集中在一個社區(qū),這樣不僅便于管理,而且用戶可以在社區(qū)中搜索所需服務(wù)。有許多研究旨在依據(jù)Web服務(wù)的QoS(服務(wù)質(zhì)量)選擇優(yōu)質(zhì)服務(wù)。比較常見的方法是依賴效用函數(shù)來選擇最優(yōu)服務(wù),用戶必須將自己的偏好表示成能夠參與計算的權(quán)重。但是,對于有特定偏好的用戶。他們難以準確評估服務(wù)QoS屬性的權(quán)重。此外,對于沒有明確偏好的用戶,獲得偏好信息以及QoS屬性權(quán)重更加困難。因此,需要一種Web服務(wù)選擇方法,為那些沒有明確偏好的用戶提供優(yōu)質(zhì)Web服務(wù)。 傳統(tǒng)QoS感知的Web服務(wù)選擇方法需要用戶給出精確權(quán)重以表達其對QoS屬性的偏好。為解決用戶無明確偏好情況下的服務(wù)選擇問題,本文提出一種QoS感知的Web服務(wù)群體評價方法�？蓪ι鐓^(qū)內(nèi)Web服務(wù)進行綜合評價,并給出優(yōu)劣次序,便于社區(qū)管理者掌握服務(wù)的整體情況以及作為用戶選擇服務(wù)的參考。首先,需要獲取每個用戶選擇服務(wù)的歷史評價信息,以QoS偏好明確的用戶對服務(wù)的歷史選擇結(jié)果為基礎(chǔ)。然后利用群決策理論中的社會選擇函集結(jié)用戶群的評價結(jié)果,計算社區(qū)中相似服務(wù)的群體評價。本文選用了Condorcet和Borda函數(shù)進行群體評價和對比。并對兩個函數(shù)用于Web服務(wù)群體評價的適用性和有效性進行了理論分析和實驗驗證。理論分析對本文提出的方法是否具備一種有效的群體評價方法應(yīng)當(dāng)具有的明確性、公平性、匿名性、單調(diào)性和一致性進行了證明。結(jié)果表明群決策理論中的Condorcet和Borda函數(shù)適用于Web服務(wù)的群體評價。最后,根據(jù)本文提出的方法,設(shè)計實現(xiàn)了Web服務(wù)群體評價系統(tǒng)。該系統(tǒng)實現(xiàn)了對社區(qū)內(nèi)相似服務(wù)的評價和優(yōu)劣排序功能,并能對所得評價數(shù)據(jù)進行驗證。驗證模塊包括了服務(wù)排序的公平性、一致性、單調(diào)性等性質(zhì)和系統(tǒng)性能測試,實驗表明了Web服務(wù)群體評價方法的有效性和系統(tǒng)的高效性。
[Abstract]:Web services are applications identified by URI that can be advertised, located, and connected through a series of messaging mechanisms. Web services often collaborate with each other to build more complex applications. They need to be described by functional attributes and QoS attributes. With the development of Web services, more and more services have similar or same usage functions. In order to facilitate and accelerate the discovery of Web services, Web services with similar functions are concentrated in one community, which is not only easy to manage, but also allows users to search for the required services in the community. There are many studies aimed at selecting quality services based on the quality of service (QoS) of Web services. The more common method is to rely on utility function to select the optimal service. Users must express their preferences as weights that can participate in the calculation. However, for users with specific preferences. It is difficult for them to accurately evaluate the weight of the service QoS attribute. In addition, it is more difficult to obtain preference information and QoS attribute weight for users without explicit preference. Therefore, a Web service selection method is needed to provide high quality Web services to users who do not have a clear preference. Traditional QoS aware Web service selection methods require users to give precise weights to express their preference for QoS attributes. In order to solve the problem of service selection without explicit user preference, this paper proposes a QoS aware Web service group evaluation method. The Web services in the community can be comprehensively evaluated, and the order of advantages and disadvantages is given, so that community managers can master the overall situation of the services and serve as a reference for the users to select the services. First of all, we need to obtain the historical evaluation information of each user to select the service, which is based on the historical selection result of the user who has a clear preference for the service by QoS. Then the social selection function in the group decision theory is used to aggregate the evaluation results of the user group and to calculate the group evaluation of similar services in the community. In this paper, Condorcet and Borda functions are selected for group evaluation and comparison. The applicability and validity of the two functions for Web service population evaluation are analyzed theoretically and experimentally. The theoretical analysis proves whether the proposed method has the clarity, fairness, anonymity, monotonicity and consistency of an effective group evaluation method. The results show that the Condorcet and Borda functions in group decision theory are suitable for group evaluation of Web services. Finally, according to the method proposed in this paper, a Web service group evaluation system is designed and implemented. The system realizes the function of evaluating and ranking the similar services in the community, and can verify the evaluation data. The verification module includes the fairness, consistency, monotonicity and system performance testing of Web services. The experiments show the effectiveness of the Web services community evaluation method and the high efficiency of the system.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.09

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