普適計(jì)算中服務(wù)發(fā)現(xiàn)協(xié)議的研究
本文選題:普適計(jì)算 + 服務(wù)發(fā)現(xiàn); 參考:《吉林大學(xué)》2013年碩士論文
【摘要】:隨著電子信息技術(shù)的不斷發(fā)展,,各種便攜式計(jì)算設(shè)備的普及,人類要面對(duì)的計(jì)算環(huán)境越來(lái)越復(fù)雜,計(jì)算模式的問(wèn)題變得越來(lái)越微妙。計(jì)算模式的演變經(jīng)歷了從多人共享一臺(tái)大型機(jī)的主機(jī)計(jì)算(Mainframe Computing)時(shí)代發(fā)展到一個(gè)人使用一臺(tái)電腦的個(gè)人機(jī)計(jì)算(Personal Computing)時(shí)代,再到當(dāng)今的互聯(lián)網(wǎng)計(jì)算(InternetComputing)時(shí)代,計(jì)算技術(shù)的發(fā)展一直伴隨著計(jì)算模式的演變。近年來(lái)小型計(jì)算通信、通信設(shè)備的普及,傳感器技術(shù)、互聯(lián)網(wǎng)技術(shù)、嵌入式技術(shù)的發(fā)展,人們對(duì)計(jì)算的需求變的越來(lái)越多樣化、智能化、隨時(shí)隨地化,為適應(yīng)這些改變,我們需要一種全新的計(jì)算模式,即下一代計(jì)算模式——普適計(jì)算(Pervasive Computing)。普適計(jì)算這的概念最早是由前Xerox PARC計(jì)算機(jī)科學(xué)實(shí)驗(yàn)首席科學(xué)家Mark Weiser在1991年提出的,中所謂的普適計(jì)算并不是指一種全新的技術(shù),而是利用計(jì)算機(jī)技術(shù)、通信技術(shù)、傳感器技術(shù)、網(wǎng)絡(luò)技術(shù)、嵌入式技術(shù)等實(shí)現(xiàn)信息空間與物理空間的融合的一種計(jì)算模式。 在普適計(jì)算環(huán)境中,人們可以隨時(shí)隨地簡(jiǎn)單地,透明地使用網(wǎng)絡(luò)提供的服務(wù),而為了實(shí)現(xiàn)這一目的,就需要服務(wù)發(fā)現(xiàn)技術(shù)的支撐。服務(wù)發(fā)現(xiàn)技術(shù)關(guān)注的是當(dāng)用戶有服務(wù)需求時(shí),系統(tǒng)如何有效的為用戶查找、匹配最佳服務(wù),并提供給用戶使用。服務(wù)發(fā)現(xiàn)協(xié)議是服務(wù)發(fā)現(xiàn)技術(shù)的核心內(nèi)容,而傳統(tǒng)的服務(wù)發(fā)現(xiàn)協(xié)議難以適用于未來(lái)普適計(jì)算環(huán)境中對(duì)服務(wù)發(fā)現(xiàn)的需求。普適計(jì)算與傳統(tǒng)的桌面計(jì)算在計(jì)算環(huán)境、網(wǎng)絡(luò)配置、用戶使用習(xí)慣等方面存在有著明顯的差異,因此需要在傳統(tǒng)服務(wù)發(fā)現(xiàn)的基礎(chǔ)上設(shè)計(jì)并開(kāi)發(fā)一種新的服務(wù)發(fā)現(xiàn)協(xié)議以適應(yīng)普適環(huán)境中的服務(wù)發(fā)現(xiàn)問(wèn)題。 本文仔細(xì)研究對(duì)比了大量的已有的服務(wù)發(fā)現(xiàn)協(xié)議,發(fā)現(xiàn)移動(dòng)無(wú)線自組網(wǎng)絡(luò)中的服務(wù)發(fā)現(xiàn)協(xié)議相比較于局域網(wǎng)、廣域網(wǎng)中的服務(wù)發(fā)現(xiàn)協(xié)議,可以更好的滿足普適計(jì)算環(huán)境中服務(wù)發(fā)現(xiàn)的新特點(diǎn)。而基于群組的GSD(Group-based Service Discovery)協(xié)議是無(wú)線自組網(wǎng)環(huán)境中性能較為突出的一個(gè)協(xié)議,他的基于群組的智能轉(zhuǎn)發(fā)服務(wù)請(qǐng)求,節(jié)點(diǎn)定期廣播自身的服務(wù)廣告信息等特點(diǎn)可以使用戶在普適環(huán)境中更高效地發(fā)現(xiàn)所需服務(wù)。 但GSD協(xié)議本身存在著一些明顯的不足(如:大量的重復(fù)的服務(wù)請(qǐng)求包)并不能很好的適應(yīng)普適計(jì)算環(huán)境的特點(diǎn)。為了解決這些不足,本文根據(jù)普適計(jì)算環(huán)境中服務(wù)發(fā)現(xiàn)的特點(diǎn)提出了一個(gè)基于GSD協(xié)議的改進(jìn)協(xié)議——效能增強(qiáng)的基于群組的服務(wù)發(fā)現(xiàn)協(xié)議EPGSD(Enhanced Performance Group-Based Service Discovery)。并通過(guò)在GloMoSim仿真軟件中做了相關(guān)的仿真實(shí)驗(yàn),驗(yàn)證了EPGSD在一些方面的性能,證明了EPGSD的有效性。
[Abstract]:With the development of electronic information technology and the popularization of portable computing devices, the computing environment is becoming more and more complex, and the problem of computing mode becomes more and more delicate. The evolution of computing mode has gone from the era of mainframe computing for multiple people sharing a mainframe to the era of personal computing for one person using one computer, and then to the age of Internet computing for Internet computing. The development of computing technology has been accompanied by the evolution of computing models. In recent years, with the popularization of small computing communication, the popularization of communication equipment, the development of sensor technology, Internet technology and embedded technology, people's demand for computing has become more and more diversified, intelligent, anytime and anywhere, in order to adapt to these changes. We need a new computing model, the next generation of computing-pervasive computing. The concept of pervasive computing was first put forward by Mark Weiser, the former chief scientist of Xerox PARC computer science experiments, in 1991. The so-called pervasive computing does not refer to a new technology, but to the use of computer technology, communication technology, sensor technology. Network technology, embedded technology and so on realizes the information space and the physical space fusion one kind of computation pattern. In the pervasive computing environment, people can easily and transparently use the services provided by the network at any time and anywhere, and in order to achieve this goal, the support of service discovery technology is needed. Service discovery technology focuses on how to effectively find the best service for the user and provide it to the user when the user has a service requirement. Service discovery protocol is the core of service discovery technology, but the traditional service discovery protocol is difficult to adapt to the requirement of service discovery in the future pervasive computing environment. There are obvious differences between pervasive computing and traditional desktop computing in computing environment, network configuration, user usage habits, etc. Therefore, it is necessary to design and develop a new service discovery protocol based on traditional service discovery to adapt to the problem of service discovery in pervasive environment. This paper carefully studies and compares a large number of existing service discovery protocols, and finds that the service discovery protocols in mobile wireless ad hoc networks are compared with those in local area networks and wide area networks. It can better meet the new features of service discovery in pervasive computing environment. The group-based GSD(Group-based Service Discovery) protocol is one of the most outstanding protocols in the wireless ad hoc network environment. Nodes regularly broadcast their own service advertising information to enable users to find the required services more efficiently in a universal environment. However, the GSD protocol itself has some obvious shortcomings (such as: a large number of repeated service request packets) can not adapt to the characteristics of pervasive computing environment. In order to solve these problems, this paper proposes an improved service discovery protocol based on GSD protocol, EPGSD(Enhanced Performance Group-Based Service discovery protocol based on performance enhancement, according to the characteristics of service discovery in pervasive computing environment. The performance of EPGSD in some aspects is verified and the validity of EPGSD is proved by the relevant simulation experiments in GloMoSim simulation software.
【學(xué)位授予單位】:吉林大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TP393.04
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