【摘要】：隨著“互聯(lián)網(wǎng)+”理念的涌現(xiàn),帶來的是各行業(yè)的互聯(lián)網(wǎng)化與現(xiàn)實(shí)世界的數(shù)據(jù)化,使得數(shù)據(jù)的種類和規(guī)模正在以前所未有的速度不斷增長和累積,并以其蘊(yùn)含的豐富價值對社會生產(chǎn)產(chǎn)生巨大推動作用。為了更好地獲取數(shù)據(jù)中潛在的價值,越來越多的企業(yè)或個人正在通過云交付的模式,將自身對于大數(shù)據(jù)的存儲、計(jì)算與分析能力開放給第三方,通過構(gòu)建數(shù)據(jù)服務(wù)的形式來對數(shù)據(jù)進(jìn)行更好的管理和利用,數(shù)據(jù)即服務(wù)正在成為影響產(chǎn)業(yè)格局的新一代業(yè)務(wù)模式。盡管很多公司、組織、研究人員在數(shù)據(jù)即服務(wù)領(lǐng)域的研究中已取得了豐富的研究成果,但云計(jì)算環(huán)境下數(shù)據(jù)資源描述的異構(gòu)性、數(shù)據(jù)服務(wù)數(shù)量的爆炸式增長等因素為數(shù)據(jù)服務(wù)帶來了新的挑戰(zhàn):1)隨著數(shù)據(jù)服務(wù)描述的多樣性,缺乏一種易于描述的數(shù)據(jù)服務(wù)描述模型來實(shí)現(xiàn)數(shù)據(jù)服務(wù)的協(xié)同工作;2)隨著數(shù)據(jù)服務(wù)數(shù)量的急速增長,數(shù)據(jù)服務(wù)質(zhì)量參差不齊,缺乏一種高效的數(shù)據(jù)服務(wù)發(fā)現(xiàn)方法;3)隨著對數(shù)據(jù)進(jìn)行可視分析的需求的增加,可視化開發(fā)所需的成本不斷提高,缺乏一種對用戶體驗(yàn)友好的、提高可視化開發(fā)效率的數(shù)據(jù)可視化方法。為解決以上問題,需要對數(shù)據(jù)服務(wù)的集成方式、描述模型等幾個關(guān)鍵方面進(jìn)行研究。為此,本文對云計(jì)算環(huán)境下DaaS生命周期相關(guān)關(guān)鍵技術(shù)展開研究,主要創(chuàng)新工作包括:(1)提出一種基于DaaS的數(shù)據(jù)服務(wù)柔性描述模型。在分析現(xiàn)有數(shù)據(jù)服務(wù)描述語言不足的基礎(chǔ)上,對數(shù)據(jù)服務(wù)進(jìn)行集成,接著給出原子數(shù)據(jù)服務(wù)的柔性描述模型以及復(fù)合數(shù)據(jù)服務(wù)的柔性描述模型,并對根據(jù)所給出的柔性描述模型進(jìn)行數(shù)據(jù)服務(wù)的自動化調(diào)用。(2)提出一種面向全局社交服務(wù)網(wǎng)的數(shù)據(jù)服務(wù)聚類方法。將聚類與全局社交服務(wù)網(wǎng)進(jìn)行結(jié)合,給出社交屬性、歷史社交域、未來社交域等概念,利用服務(wù)的社交屬性對服務(wù)進(jìn)行聚類,提高服務(wù)在全局環(huán)境下的發(fā)現(xiàn)效率。(3)提出一種基于可視模板的數(shù)據(jù)服務(wù)分析方法。基于軟件工程領(lǐng)域的復(fù)用思想,給出可視模板等相關(guān)定義,利用可視模板高效制作可視化圖表以及利用精靈線程、物化緩存、副本迭代等技術(shù)實(shí)現(xiàn)對用戶友好的可視化圖表訪問體驗(yàn)。本論文的研究內(nèi)容作為浙江省科技廳公益性技術(shù)應(yīng)用研究計(jì)劃項(xiàng)目“服務(wù)計(jì)算環(huán)境下的網(wǎng)絡(luò)大數(shù)據(jù)平臺軟件關(guān)鍵技術(shù)研究”(編號:2014C33071)和浙江省重大科技專項(xiàng)計(jì)劃項(xiàng)目“面向產(chǎn)業(yè)聯(lián)盟的特種設(shè)備云設(shè)計(jì)服務(wù)平臺關(guān)鍵技術(shù)研究及其應(yīng)用”(編號:2014C11SA1B0006)的部分成果,從構(gòu)建云制造服務(wù)平臺原型的角度,討論云計(jì)算環(huán)境下數(shù)據(jù)服務(wù)生命周期及其關(guān)鍵技術(shù),結(jié)合所提出的數(shù)據(jù)服務(wù)柔性描述模型,對數(shù)據(jù)服務(wù)進(jìn)行集成、管理、組合、調(diào)用、數(shù)據(jù)可視化。
[Abstract]:With the emergence of the concept of "Internet", what brings about is the Internetization of various industries and the digitization of the real world, which makes the variety and scale of data growing and accumulating at an unprecedented speed. And with its rich value of social production has a huge role. In order to better obtain the potential value of data, more and more enterprises or individuals are opening their storage, calculation and analysis capabilities for big data to third parties through the cloud delivery model. By constructing the form of data service to better manage and utilize the data, data as a service is becoming a new generation of business model that affects the industrial pattern. Although many companies, organizations and researchers have made rich achievements in the field of data as a service, the heterogeneity of data resource descriptions in cloud computing environments, The explosive growth of the number of data services brings new challenges to data services: 1) with the diversity of data services description, there is a lack of an easy-to-describe data service description model to achieve the collaborative work of data services; 2) with the rapid growth of the quantity of data service, the quality of data service is not uniform, and there is a lack of an efficient method of data service discovery; 3) with the increasing demand for visual analysis of data, the cost of visual development is increasing, and there is a lack of a data visualization method which is friendly to user experience and improves the efficiency of visual development. In order to solve the above problems, several key aspects such as data service integration, description model and so on need to be studied. Therefore, the key technologies related to DaaS lifecycle in cloud computing environment are studied in this paper. The main innovations are as follows: (1) A flexible description model of data services based on DaaS is proposed. On the basis of analyzing the insufficiency of the existing data service description language, this paper integrates the data service, then gives the flexible description model of atomic data service and the flexible description model of composite data service. According to the given flexible description model, the data service can be automatically invoked. (2) A data service clustering method for global social service network is proposed. By combining clustering with global social service network, the concepts of social attribute, historical social domain, future social domain and so on are given, and the services are clustered by using the social attributes of services. The efficiency of service discovery in the global environment is improved. (3) A data service analysis method based on visual template is proposed. Based on the reuse idea in the field of software engineering, the definition of visual template and other related definitions are given. The visual template is used to efficiently make visual charts, and to use wizard thread, materialized cache, etc. Replica iteration and other techniques to achieve user-friendly visual chart access experience. The research content of this thesis is regarded as "Research on the key Technology of Network big data platform Software in the Environment of Service Computing" (No. 2014C33071) and Zhejiang Province's Major Science and Technology Project as the Public Welfare Technology Application Research Project of Zhejiang Science and Technology Department. Part of the planned project "Research and application of key technologies for cloud design service platform for special equipment for industrial alliances" (number: 2014C11SA1B0006), From the point of view of constructing the prototype of cloud manufacturing service platform, this paper discusses the life cycle of data service and its key technology in cloud computing environment. Combined with the proposed flexible description model of data service, the data services are integrated, managed, combined and called. Data visualization.
【學(xué)位授予單位】：浙江工業(yè)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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