【摘要】：近些年來(lái)，隨著軟件服務(wù)化、云計(jì)算等技術(shù)的快速發(fā)展，互聯(lián)網(wǎng)中可用的服務(wù)資源越來(lái)越多，與此同時(shí)，除原有的線上服務(wù)資源外，各領(lǐng)域?qū)＜液推髽I(yè)公司利用服務(wù)虛擬化技術(shù)將現(xiàn)實(shí)中存在的物理資源等一并放在了互聯(lián)中，這更加促使了互聯(lián)網(wǎng)服務(wù)數(shù)量的增長(zhǎng)。另一方面，隨著用戶對(duì)服務(wù)的需求的變化，即由傳統(tǒng)的單一需求方式轉(zhuǎn)變?yōu)閺?fù)雜的個(gè)性化需求，傳統(tǒng)的具有單一功能的服務(wù)已經(jīng)無(wú)法滿足人們的需求，因此，國(guó)內(nèi)外的研究學(xué)者將目光對(duì)準(zhǔn)了互聯(lián)中存在的大量的服務(wù)資源，服務(wù)組合技術(shù)成為了當(dāng)前領(lǐng)域中的研究熱點(diǎn)。 目前，根據(jù)服務(wù)組合的方式不同，可以將其分為靜態(tài)服務(wù)組合、半自動(dòng)服務(wù)組合及動(dòng)態(tài)服務(wù)組合三種。然而，隨著組合服務(wù)在眾多領(lǐng)域內(nèi)使用頻率逐漸增高，其與領(lǐng)域的緊密程度也逐漸增高，，由此，針對(duì)具體領(lǐng)域內(nèi)滿足用戶需求的服務(wù)組合技術(shù)成為各行業(yè)的研究的重點(diǎn)。與此同時(shí)，雖然面對(duì)眾多用戶的個(gè)性化需求，各研究學(xué)者在構(gòu)建服務(wù)系統(tǒng)時(shí)，針對(duì)服務(wù)選擇(service selection)、服務(wù)組合（servicecomposition）、服務(wù)整合(mashup)等經(jīng)典問(wèn)題開(kāi)展了豐富的研究，找到了大量的優(yōu)化方法。但是，這些研究和應(yīng)用在解決特定領(lǐng)域內(nèi)的服務(wù)構(gòu)建時(shí)仍然面臨眾多的挑戰(zhàn)。究其原因，本文認(rèn)為，傳統(tǒng)的服務(wù)構(gòu)建方法，更多的直接針對(duì)互聯(lián)網(wǎng)上大量的服務(wù)資源，這種方式忽視了領(lǐng)域的特點(diǎn)，造成服務(wù)組合的語(yǔ)義信息不足，從而降低了服務(wù)組合的重復(fù)使用率。 本文針對(duì)以上問(wèn)題的不足，以家庭領(lǐng)域?yàn)楸尘埃紫确治黾彝ヮI(lǐng)域的特征，結(jié)合這些特征給出具體的服務(wù)模式的相關(guān)概念及元模型，并對(duì)服務(wù)模式進(jìn)行了形式化的定義，同時(shí)，討論分析了服務(wù)模式具有的相關(guān)性質(zhì)，在此基礎(chǔ)上，本文對(duì)服務(wù)模式的發(fā)現(xiàn)方法和演化機(jī)制作了分析和研究。除此之外，本文重點(diǎn)研究服務(wù)模式的管理及其建模工具的設(shè)計(jì)開(kāi)發(fā)。 最后，運(yùn)用理論研究的方法和技術(shù)，利用服務(wù)模式建模工具，設(shè)計(jì)并開(kāi)發(fā)了代買代購(gòu)服務(wù)系統(tǒng)，通過(guò)分析服務(wù)模式建模工具構(gòu)建系統(tǒng)的方法，和對(duì)代買代購(gòu)的業(yè)務(wù)需求及其包含的服務(wù)模式的分析，驗(yàn)證了理論方法的正確性及服務(wù)模式建模工具的有效性。
[Abstract]:In recent years, with the rapid development of software service, cloud computing and other technologies, there are more and more service resources available in the Internet. At the same time, in addition to the original online service resources, Experts in various fields and enterprise companies use service virtualization technology to put physical resources and other physical resources in the Internet together, which further promotes the growth of the number of Internet services. On the other hand, with the change of users' demand for service, that is, from the traditional single demand mode to the complex individual demand, the traditional service with single function can no longer meet the needs of people, so, Researchers at home and abroad have focused on the existence of a large number of service resources in the interconnection, service composition technology has become a research hotspot in the current field. At present, it can be divided into static service composition, semi-automatic service composition and dynamic service composition. However, with the increasing frequency of composite services in many fields, the tightness between composite services and the domain is also increasing. Therefore, the service composition technology to meet the needs of users in specific areas has become the focus of research in various industries. At the same time, although in the face of the personalized needs of many users, scholars in the construction of a service system, the service selection (service selection), services composition (servicecomposition), services integration (mashup) and other classic issues carried out a wealth of research. A large number of optimization methods have been found. However, these studies and applications still face many challenges in addressing service building in specific areas. The reason is that the traditional method of service construction is more direct to a large number of service resources on the Internet, which ignores the characteristics of the domain, resulting in insufficient semantic information of service composition. This reduces the reuse rate of service composition. In view of the deficiency of the above problems, this paper analyzes the characteristics of the family domain in the background of the family domain, gives the relevant concepts and metamodel of the specific service mode, and gives the formal definition of the service pattern, at the same time, Based on the analysis of the related properties of service patterns, the discovery method and evolution mechanism of service patterns are analyzed and studied in this paper. In addition, this paper focuses on the management of service patterns and the design and development of modeling tools. Finally, using the method and technology of theoretical research and using the modeling tool of service pattern, the paper designs and develops the system of buying and purchasing service by analyzing the modeling tool of service pattern, and the method of constructing the system by analyzing the modeling tool of service pattern. The correctness of the theory method and the validity of the service pattern modeling tool are verified by the analysis of the business requirements and the service patterns contained in the DPP.
【學(xué)位授予單位】：哈爾濱工業(yè)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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