本文選題：未來互聯(lián)網(wǎng) + 網(wǎng)絡(luò)資源管理�。� 參考：《北京郵電大學(xué)》2014年博士論文

【摘要】：現(xiàn)有互聯(lián)網(wǎng)的飛速發(fā)展使其在可擴(kuò)展性、安全性、移動(dòng)性和可管可控性等方面面臨著巨大的挑戰(zhàn),這些挑戰(zhàn)已經(jīng)成為制約互聯(lián)網(wǎng)向前發(fā)展的瓶頸。本論文依托國(guó)家973項(xiàng)目"SOFIA:未來互聯(lián)網(wǎng)體系結(jié)構(gòu)設(shè)計(jì)及機(jī)制研究”,從資源管理角度入手進(jìn)行“未來互聯(lián)網(wǎng)絡(luò)資源負(fù)載均衡研究”,旨在為新一代互聯(lián)網(wǎng)體系結(jié)構(gòu)的設(shè)計(jì)提供參考,同時(shí)也為新一代互聯(lián)網(wǎng)絡(luò)資源管理的研究打下基礎(chǔ)。未來互聯(lián)網(wǎng)以多資源協(xié)同的工作方式向互聯(lián)網(wǎng)用戶提供服務(wù),必然在資源管理方面面臨新的挑戰(zhàn),我們需要以一個(gè)新的思路和角度來轉(zhuǎn)變對(duì)這一問題的認(rèn)識(shí)。開展對(duì)未來互聯(lián)網(wǎng)負(fù)載均衡的研究能夠保證資源合理的工作同時(shí)提高互聯(lián)網(wǎng)的工作效率與資源利用率。 在研究過程中,由于“未來互聯(lián)網(wǎng)”是一個(gè)新興事物,學(xué)術(shù)界對(duì)其還沒有統(tǒng)一且清楚的認(rèn)識(shí),因此為了研究未來互聯(lián)網(wǎng)絡(luò)資源的負(fù)載均衡問題,首先要了解何為未來互聯(lián)網(wǎng)；在此基礎(chǔ)之上進(jìn)一步研究未來互聯(lián)網(wǎng)絡(luò)資源創(chuàng)新管理模型和框架；并基于這一框架研究自組織自適應(yīng)的互聯(lián)網(wǎng)級(jí)負(fù)載均衡策略和數(shù)據(jù)中心級(jí)的負(fù)載均衡分配策略及其算法。圍繞上述思路,本論文的主要研究?jī)?nèi)容如下： (1)從服務(wù)提供與網(wǎng)絡(luò)管理的角度分析了“未來互聯(lián)網(wǎng)”的主要研究?jī)?nèi)容并刻畫“未來互聯(lián)網(wǎng)”的主要特征。由于目前關(guān)于“未來互聯(lián)網(wǎng)”的研究多數(shù)是從網(wǎng)絡(luò)建設(shè),網(wǎng)絡(luò)技術(shù)等技術(shù)角度來進(jìn)行,所以需要從服務(wù)與管理的角度來理解未來互聯(lián)網(wǎng)。本部分在分析主要國(guó)家關(guān)于“未來互聯(lián)網(wǎng)”的研究項(xiàng)目基礎(chǔ)之上,提煉出了未來互聯(lián)網(wǎng)的主要研究?jī)?nèi)容,并從服務(wù)提供的角度刻畫了未來互聯(lián)網(wǎng)的主要特征,并圍繞其中的“感知”特征展開后續(xù)的研究。 (2)提出了基于“感知”和“態(tài)勢(shì)感知”的未來互聯(lián)網(wǎng)絡(luò)資源管理理念、面向服務(wù)的網(wǎng)絡(luò)資源管理模型及其框架設(shè)計(jì)和基于感知的未來互聯(lián)網(wǎng)絡(luò)資源負(fù)載均衡研究模型,將網(wǎng)絡(luò)資源管理理念由被動(dòng)向主動(dòng)轉(zhuǎn)變。通過研究態(tài)勢(shì)感知在其它領(lǐng)域的成熟應(yīng)用并結(jié)合未來互聯(lián)網(wǎng)絡(luò)資源管理的發(fā)展需求提出了未來互聯(lián)網(wǎng)絡(luò)資源態(tài)勢(shì)感知模型的組件需求以及功能需求；并在此基礎(chǔ)之上提出了面向服務(wù)的網(wǎng)絡(luò)資源管理態(tài)勢(shì)感知模型及其框架,為建設(shè)未來網(wǎng)絡(luò)資源管理平臺(tái)打下基礎(chǔ)；最后提出了一個(gè)面向負(fù)載均衡的未來互聯(lián)網(wǎng)體系結(jié)構(gòu),并基于該體系結(jié)構(gòu)展開后續(xù)的研究。 (3)基于網(wǎng)絡(luò)資源視角設(shè)計(jì)了基于博弈論的負(fù)載均衡分配策略及其算法。本部分在分析了關(guān)于“負(fù)載均衡”算法的研究綜述基礎(chǔ)上,結(jié)合第(1)(2)點(diǎn)中的研究?jī)?nèi)容,將未來互聯(lián)網(wǎng)的資源管理問題抽象成一個(gè)層次化的資源分配模型。在模型中同時(shí)考慮到了資源請(qǐng)求者的自私心理以及資源對(duì)于資源請(qǐng)求的同構(gòu)心理,在用戶之間建立非合作博弈模型而在資源之間建立合作博弈模型。該模型結(jié)合了合作與非合作博弈的優(yōu)點(diǎn)盡量彌補(bǔ)他們之間的不足,能夠在保證用戶公平性指標(biāo)的基礎(chǔ)上提高資源之間的公平性指標(biāo),并且從系統(tǒng)工作效率來看也優(yōu)于其它的非合作博弈算法,同時(shí)該算法減少了系統(tǒng)關(guān)于負(fù)載信息維護(hù)的開銷,并能夠達(dá)到節(jié)能減排的作用。 (4)基于經(jīng)濟(jì)學(xué)原理從消費(fèi)者的視角提出了一個(gè)能夠滿足白組織自適應(yīng)要求的負(fù)載均衡分配策略。在該部分中將用戶與資源放在競(jìng)爭(zhēng)的市場(chǎng)環(huán)境中,利用市場(chǎng)調(diào)節(jié)機(jī)制來使系統(tǒng)達(dá)到負(fù)載均衡的狀態(tài)。首先根據(jù)微觀經(jīng)濟(jì)學(xué)理論模擬了資源價(jià)格在市場(chǎng)中的形成機(jī)制,模擬了消費(fèi)者在競(jìng)爭(zhēng)市場(chǎng)中的行為以及代理商的銷售行為。通過模擬消費(fèi)者關(guān)于計(jì)算資源的競(jìng)爭(zhēng)市場(chǎng)來分析在市場(chǎng)穩(wěn)定的狀態(tài)下資源分配的情況。結(jié)果顯示該算法能夠合理地模擬消費(fèi)者的市場(chǎng)行為以及資源在市場(chǎng)甲的價(jià)格形成機(jī)制,該策略不僅能夠使資源處于負(fù)載均衡分配的狀態(tài)同時(shí)能夠增加代理商(網(wǎng)絡(luò)資源服務(wù)提供商)的市場(chǎng)收入。
[Abstract]:The rapid development of Internet makes the existing security in scalability, mobility and controllable aspects of faces enormous challenges, these challenges have become a bottleneck restricting the development of the Internet. This paper is based on the national 973 project "SOFIA: future Internet architecture" Research on mechanism design and mechanism, from the perspective of resource management "the future of the Internet cyber source load balancing research", in order to provide reference for the design of a new generation of Internet architecture, but also lay the foundation for the study of a new generation of Internet cyber source management. The future of the Internet to multi resource collaborative work to provide services to Internet users, will face new challenges in the management of resources and we need a new way of thinking and perspective to change the understanding of this issue for the future Internet. The research of load balancing to ensure resources Reasonable work at the same time improves the efficiency of the Internet and the utilization of resources.
In the course of the study, because the future of the Internet is a new thing, the academic circles have not unified and clear understanding of the load balancing problem so in order to study the future of the Internet cyber source, we must first understand what is the future of the Internet; on the basis of further research on the future of the Internet cyber source innovation management model and framework; and based on this framework since the Internet Organization adaptive load balancing strategy and data center level load balancing strategy and its algorithm. On the above ideas, the main contents of this paper are as follows:
(1) the main features from the service provider and network management to analyze the main contents of the future of the Internet "and" the future of the Internet "describe. Because most of the studies on" the future of the Internet "is from the perspective of network construction, network technology to carry out, so we need to understand the future of the Internet from the service and management the point of this part. In the analysis of the above research project on" the future of the Internet "on the basis of the major countries, summarizes the main research contents of the future of the Internet, and from the service perspective describes the main features of future Internet, and around the" perception "characteristics of the follow-up study.
(2) based on "perception" and "situational awareness" of the future Internet cyber source management concept, model and framework design of cyber source management of service oriented and perception of the future of the Internet cyber source based on load balancing model, the cyber source management concept from passive to active transformation. Through the study of situational awareness in other mature applications the field and combined with the development needs of Internet cyber source management in the future put forward the future of the Internet cyber source situation awareness model component requirements and functional requirements; and on this basis puts forward the cyber source management situation awareness model and service oriented framework, lay the foundation for the future construction of cyber source management platform; finally put forward a future of the Internet architecture for load balancing, and based on the following research expand the system structure.
(3) from the perspective of cyber source is designed based on the load balancing strategy and algorithm based on game theory. This part analyzes the research based on "load balancing" algorithm summary, combined with the (1) (2) in the research content, the resource management problems in the future of the Internet is abstracted into a resource allocation model a hierarchical model. In considering the resource requester selfishness and resources for the same psychology resource request, a non cooperation game model based on cooperative game model among resources among users. The model combines the advantages of cooperative and non cooperative game to compensate for the lack of between them, can basis to guarantee the user fairness index improves the fairness index between resources, and work efficiency from the system is better than the non cooperative game algorithm, and the algorithm is reduced The system is concerned with the overhead of the maintenance of load information, and can achieve the role of energy saving and emission reduction.
(4) based on the principle of economics from the perspective of consumers proposed a load balancing strategy can meet the requirements of the white self organization. In this section, users and resources in a competitive market environment, adjusting mechanism for the system to achieve the load state of equilibrium using the market. According to the microeconomics theory to simulate the formation mechanism in the in the market prices of resources, to simulate the consumers in a competitive market behavior and sales agents. Through the simulation of consumer behavior on the computing resources competition in the market in the allocation of resources to analyze the stability of the market conditions. The results show that the algorithm can reasonably simulate the behavior of consumers and market resources in a market price formation mechanism this strategy, not only can make the resources in the load balancing state at the same time can increase the agents (cyber source service Market income.

【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.07

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