本文選題：QoS管理　切入點(diǎn)：服務(wù)組合　出處：《桂林電子科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：越來越多的組織和研究機(jī)構(gòu)采用Web服務(wù)技術(shù)來實(shí)現(xiàn)數(shù)據(jù)共享和增值,使得部署在開放環(huán)境下的Web服務(wù)不斷涌現(xiàn)。已有的關(guān)于Web服務(wù)組合的研究工作大多以Web服務(wù)的QoS(Quality of Service)信息真實(shí)可靠為前提,認(rèn)為服務(wù)提供商提供的QoS信息能夠反映服務(wù)的真實(shí)質(zhì)量信息。實(shí)際上,Web服務(wù)的QoS信息由于受到網(wǎng)絡(luò)負(fù)載以及地理位置的影響可能會不斷的發(fā)生變化。為了度量這種變化對服務(wù)的QoS指標(biāo)帶來的影響,必須對服務(wù)的QoS信息進(jìn)行實(shí)時(shí)監(jiān)控與收集。此外,已有的關(guān)于服務(wù)組合的研究工作大多以執(zhí)行代價(jià)最小或執(zhí)行時(shí)間最短為衡量指標(biāo),而忽略了組合服務(wù)的全局QoS約束。表征服務(wù)交付能力的質(zhì)量屬性,往往也是用戶所關(guān)心的,在Web服務(wù)組合系統(tǒng)中,這些屬性不應(yīng)該被忽視。隨著組合效率得到日益關(guān)注,用戶對組合算法的搜索性能也提出了更高的期冀,服務(wù)組合過程必須在合理的時(shí)間內(nèi)給出響應(yīng)。本文針對動態(tài)環(huán)境下基于QoS感知的服務(wù)組合系統(tǒng)的有效性及組合效率等問題,從QoS信息的監(jiān)測、服務(wù)組合過程建模及分析等方面進(jìn)行了一些研究,主要研究工作包括以下幾個(gè)方面:(1)針對服務(wù)運(yùn)行環(huán)境的復(fù)雜特點(diǎn),并結(jié)合服務(wù)的QoS信息在運(yùn)行過程中的動態(tài)多變的特性,給出了一個(gè)基于心智計(jì)算與合同網(wǎng)協(xié)議的多Agent協(xié)作模型與實(shí)現(xiàn),用于QoS信息的實(shí)時(shí)監(jiān)控,以支持Web服務(wù)運(yùn)行過程中QoS信息的動態(tài)收集與更新;(2)提出了一種基于層次分析法的局部服務(wù)過濾策略,建立了“原子服務(wù)集合—QoS決策屬性—目標(biāo)服務(wù)”結(jié)構(gòu)的層次分析模型,依據(jù)服務(wù)的QoS信息對局部服務(wù)進(jìn)行過濾,減少全局服務(wù)優(yōu)化選擇需要搜索的范圍;(3)為了保證組合服務(wù)能夠滿足全局QoS最優(yōu),提出了基于文化遺傳算法的服務(wù)組合策略來處理具有全局約束的服務(wù)組合問題,將遺傳算法作為文化算法的社會群體空間,并采用了多樣性保持與相似染色體排斥策略以擴(kuò)大種群的多樣性和加快收斂速度,以保證服務(wù)組合系統(tǒng)的效率。最后通過實(shí)驗(yàn)對本文提出的基于心智計(jì)算和合同網(wǎng)協(xié)議的多Agent協(xié)同的效率進(jìn)行了驗(yàn)證,同時(shí)驗(yàn)證并分析了局部服務(wù)選擇對全局服務(wù)優(yōu)化的積極作用,并對基于改進(jìn)文化遺傳算法在求解服務(wù)組合問題時(shí)的搜索效率和執(zhí)行時(shí)間進(jìn)行了實(shí)驗(yàn)和分析,實(shí)驗(yàn)結(jié)果證明所提方法具有良好的可執(zhí)行性。
[Abstract]:More and more organizations and research institutions adopt Web services technology to achieve data sharing and value-added. Web services deployed in an open environment are constantly emerging. Most of the existing research work on Web services composition is based on the true and reliable QoS(Quality of Web services information. It is believed that the QoS information provided by the service provider can reflect the true quality information of the service. In fact, the QoS information of the web service may change continuously because of the influence of network load and geographical location. The impact of these changes on the QoS indicators of services, The QoS information of the service must be monitored and collected in real time. In addition, most of the research work on service composition is based on the minimum execution cost or the shortest execution time. The global QoS constraints of composite services are ignored. The quality attributes that characterize service delivery capabilities are often of concern to users. In Web service composition systems, these attributes should not be ignored. Users also have higher expectations for the search performance of the composition algorithm, and the service composition process must be responsive within a reasonable time. This paper aims at the effectiveness and composition efficiency of the service composition system based on QoS perception in dynamic environment. From the aspects of QoS information monitoring, service composition process modeling and analysis and so on, the main research work includes the following aspects: 1) aiming at the complex characteristics of service running environment, Combined with the dynamic and changeable characteristics of QoS information in service, a multi-#en1# cooperation model based on mental computing and contract net protocol is proposed, which can be used to monitor QoS information in real time. In order to support the dynamic collection and update of QoS information in the course of Web service operation, a local service filtering strategy based on AHP is proposed, and the hierarchical analysis model of "atomic service set-QoS decision attribute-target service" structure is established. Based on the QoS information of the service, the local service is filtered to reduce the scope of searching for global service optimization.) in order to ensure that the composite service can satisfy the global QoS optimization, A strategy of service composition based on cultural genetic algorithm is proposed to deal with the service composition problem with global constraints. The genetic algorithm is regarded as the social group space of the cultural algorithm. In order to expand the diversity and accelerate the convergence of the population, the strategies of diversity conservation and similar chromosome exclusion are adopted. In order to ensure the efficiency of the service composition system, the efficiency of multi-#en0# collaboration based on mental computing and contract net protocol is verified by experiments. At the same time, the positive effect of local service selection on global service optimization is verified and analyzed, and the search efficiency and execution time of the improved cultural genetic algorithm in solving service composition problems are tested and analyzed. The experimental results show that the proposed method is executable.
【學(xué)位授予單位】：桂林電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP393.09

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