本文關(guān)鍵詞：物聯(lián)網(wǎng)環(huán)境下輕量級服務組合研究　出處：《中國石油大學(華東)》2014年碩士論文　論文類型：學位論文

  更多相關(guān)文章： Web服務選擇 Web服務組合 資源調(diào)度模型 排隊模型 QoS模型

【摘要】：面向服務架構(gòu)(SOA,Service-Oriented Architecture)的物聯(lián)網(wǎng)應用是指將物理世界中的各種設(shè)備的功能服務化,以一種統(tǒng)一和通用的接口向外界提供其功能,能夠像傳統(tǒng)互聯(lián)網(wǎng)Web服務一樣被發(fā)現(xiàn)、選擇及組合利用。因此對物聯(lián)網(wǎng)海量信息服務進行整合利用方面的研究對物聯(lián)網(wǎng)應用具有重要意義。由于Web服務是實現(xiàn)SOA最主要的技術(shù),為異構(gòu)資源的互聯(lián)與協(xié)同工作提供了有效有段,許多研究將Web服務標準直接應用與物理設(shè)備。但是物聯(lián)網(wǎng)服務不完全等同于傳統(tǒng)的Web服務,主要表現(xiàn)在:1)設(shè)備服務與物理世界直接相關(guān)而傳統(tǒng)的Web服務來自于虛擬實體;2)設(shè)備服務所處環(huán)境是動態(tài)變化的而傳統(tǒng)的Web服務是靜態(tài)和長期存在的;3)設(shè)備服務被部署在資源(網(wǎng)絡帶寬、內(nèi)存容量及處理器的計算能力等)受限的物理設(shè)備上,不可避免會產(chǎn)生服務請求對有限服務資源的競爭問題,更無法滿足用戶對服務的個性化偏好。而且傳統(tǒng)的WS-*標準對資源受限的設(shè)備來說過于復雜且資源消耗較高。綜合以上分析,傳統(tǒng)的互聯(lián)網(wǎng)環(huán)境下Web服務選擇及組合技術(shù)沒有考慮服務資源的限制,無法滿足物聯(lián)網(wǎng)服務組合的需求。為保障在資源受限和動態(tài)變化的物聯(lián)網(wǎng)環(huán)境中服務請求者對服務質(zhì)量及用戶偏好的需求,本文從資源優(yōu)化的角度解決服務請求對有限服務資源的競爭問題,并在此基礎(chǔ)上探索了一種面向物聯(lián)網(wǎng)環(huán)境下服務組合的模型,以期望能滿足用戶對服務質(zhì)量及個性化偏好的需求。主要工作包括:1)擴展了Web服務體系結(jié)構(gòu),主要增加了對用戶請求的代理與服務調(diào)度的代理。2)對物聯(lián)網(wǎng)服務屬性進行選擇基的礎(chǔ)上建立了QoS模型,在此基礎(chǔ)上建立了基于組合賦權(quán)法的Web服務最優(yōu)選擇方法。3)擴展輪詢隊列調(diào)度算法,建立了物聯(lián)網(wǎng)服務調(diào)度模型;4)根據(jù)擴展的服務體系結(jié)構(gòu)及服務調(diào)度模型建立了本文面向物聯(lián)網(wǎng)服務資源優(yōu)化的服務組合模型;5)利用排隊論的理論方法對本文模型進行了建模與分析。模擬實驗結(jié)果表明,本文的方法能夠在一定程度上保持用戶請求的公平性,保證高優(yōu)先級用戶請求的低時延及時延抖動性,能夠在一定程度上滿足用戶請求對服務質(zhì)量及用戶偏好的需求。
[Abstract]:SOA Service-Oriented Architecture) the application of the Internet of things refers to the ability to service the various devices in the physical world. Providing its functionality to the outside world with a unified and universal interface, it can be found as a traditional Internet Web service. Therefore, the research on the integration and utilization of mass information services in the Internet of things is of great significance to the application of the Internet of things. Because Web services is the most important technology to implement SOA. Many researches directly apply Web service standards to physical devices, but Internet of things services are not exactly equivalent to traditional Web services. The main performance is: (1) the device service is directly related to the physical world, while the traditional Web service comes from the virtual entity; 2) the environment of the equipment service is dynamic, while the traditional Web service is static and long-term. 3) device services are deployed on physical devices with limited resources (network bandwidth, memory capacity and computing power of processors, etc.), which inevitably result in competition between service requests and limited service resources. Moreover, the traditional WS-* standard is too complex for resource-constrained devices and high resource consumption. In the traditional Internet environment, Web service selection and composition technology does not consider the limitations of service resources. Can not meet the needs of the Internet of things services composition. In order to protect the resource constraints and dynamic changes in the Internet of things service requestor's demand for quality of service and user preferences. In this paper, we solve the problem of competition between service request and limited service resources from the perspective of resource optimization, and then explore a model of service composition oriented to the Internet of things environment. In order to meet the needs of users for quality of service and personalized preferences. The main work includes: 1) extended the Web services architecture. This paper mainly adds the agent of user request and service scheduling agent. 2) establishes the QoS model on the basis of selecting the properties of Internet of things services. On this basis, an extended polling queue scheduling algorithm based on combinatorial weighting method for Web service optimal selection. 3) is established, and the Internet of things service scheduling model is established. 4) based on the extended service architecture and service scheduling model, the service composition model for the optimization of Internet of things service resources is established in this paper. 5) the model of this paper is modeled and analyzed by using the theory of queuing theory. The simulation results show that the proposed method can maintain the fairness of user requests to a certain extent. The low delay delay and jitter of high priority user requests can meet the demand of QoS and user preference to a certain extent.
【學位授予單位】：中國石油大學(華東)
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP391.44;TN929.5

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