發(fā)布時(shí)間：2018-04-20 01:32

  本文選題：資源適配 + 族群��； 參考：《北京交通大學(xué)》2016年博士論文

【摘要】：服務(wù)需求與網(wǎng)絡(luò)資源間的匹配是互聯(lián)網(wǎng)發(fā)展各個(gè)階段都在努力追求的目標(biāo)。傳統(tǒng)互聯(lián)網(wǎng)架構(gòu)在資源適配問(wèn)題上存在局限性。在傳統(tǒng)網(wǎng)絡(luò)基礎(chǔ)上的改進(jìn)方案效果依然不甚理想。近些年,國(guó)內(nèi)外學(xué)者開(kāi)始研究面向資源、內(nèi)容、服務(wù)的各種未來(lái)互聯(lián)網(wǎng)架構(gòu)。智慧協(xié)同網(wǎng)絡(luò)架構(gòu)作為一種面向資源的未來(lái)互聯(lián)網(wǎng)解決方案,創(chuàng)造性地提出了資源適配層的概念。資源適配層通過(guò)族群的智慧博弈決策來(lái)實(shí)現(xiàn)服務(wù)需求和網(wǎng)絡(luò)資源之間的匹配,實(shí)現(xiàn)智能服務(wù)分發(fā)和網(wǎng)絡(luò)資源高效利用。本論文重點(diǎn)圍繞資源適配層如何通過(guò)族群博弈決策機(jī)制來(lái)實(shí)現(xiàn)流量調(diào)配和內(nèi)容分發(fā),以及如何通過(guò)多路徑協(xié)同適配機(jī)制來(lái)實(shí)現(xiàn)智慧傳輸控制展開(kāi)深入研究。本論文具體完成以下工作：(1)在服務(wù)層與網(wǎng)絡(luò)層跨層協(xié)作機(jī)制方面,研究了應(yīng)用層自私路由和網(wǎng)絡(luò)層流量工程之間的相互影響。通過(guò)構(gòu)建兩種非合作動(dòng)態(tài)博弈模型來(lái)分別描述應(yīng)用層的自私拓?fù)涓兄袨楹途W(wǎng)絡(luò)層的自私流量監(jiān)測(cè)行為,通過(guò)理論分析得出當(dāng)應(yīng)用層或網(wǎng)絡(luò)流量工程單方面實(shí)施自我優(yōu)化策略時(shí),得到比雙方非合作博弈時(shí)更少的收益。由此獲得啟發(fā)構(gòu)建一種兩層之間協(xié)作的博弈模型,提出一種基于信息交互的跨層協(xié)作開(kāi)銷節(jié)省算法,實(shí)現(xiàn)服務(wù)層用戶就近獲取資源,同時(shí)網(wǎng)絡(luò)傳送流量的開(kāi)銷得到優(yōu)化。(2)在資源適配層族群博弈決策機(jī)制方面,族群博弈決策的智慧性在于能根據(jù)不斷變化的服務(wù)需求和網(wǎng)絡(luò)資源狀態(tài)對(duì)適配策略做出動(dòng)態(tài)的調(diào)整；它的合理性在于博弈的納什均衡點(diǎn)處的策略使各方利益最大化,改變策略不能獲得更大利益。本文提出一種滿足服務(wù)需求的族群內(nèi)協(xié)作隊(duì)列模型,在此基礎(chǔ)上提出族群博弈模型,博弈均衡點(diǎn)處使時(shí)延敏感服務(wù)和丟包敏感服務(wù)兩種服務(wù)質(zhì)量得到最優(yōu)化,同時(shí)使網(wǎng)絡(luò)節(jié)點(diǎn)維持負(fù)載均衡。(3)在族群間博弈決策方面,提出了四種博弈模型來(lái)分析族群間基于內(nèi)容分發(fā)的相互關(guān)系。智慧協(xié)同網(wǎng)絡(luò)的資源適配在規(guī)模上應(yīng)該具有可擴(kuò)展性。這需要區(qū)域族群之間協(xié)作,實(shí)現(xiàn)跨族群資源適配。針對(duì)內(nèi)容資源的跨族群分發(fā)問(wèn)題,各族群通過(guò)參與博弈來(lái)決定對(duì)自己最優(yōu)的內(nèi)容緩存和內(nèi)容轉(zhuǎn)發(fā)共享策略。通過(guò)對(duì)四種模型下族群內(nèi)容分發(fā)開(kāi)銷和分布式優(yōu)化失效程度的比較分析,證明族群間協(xié)作模式的優(yōu)勢(shì)。(4)在傳輸控制機(jī)制方面,提出了滿足服務(wù)質(zhì)量需求的公平有效的多路徑協(xié)同傳輸控制機(jī)制。面向內(nèi)容資源的網(wǎng)絡(luò)應(yīng)該支持高質(zhì)量服務(wù)(如多路徑傳輸?shù)拿襟w流等)。本文通過(guò)基于路徑質(zhì)量智慧感知的多路徑傳輸控制,來(lái)實(shí)現(xiàn)多路徑服務(wù)流的高效傳輸和對(duì)單路徑服務(wù)流的友好性,從而使各種服務(wù)流在共享瓶頸鏈路資源時(shí),達(dá)到公平的帶寬資源分配,同時(shí)能夠改善服務(wù)傳輸質(zhì)量和滿足用戶體驗(yàn)需求。本論文圍繞智慧協(xié)同網(wǎng)絡(luò)架構(gòu)下資源適配層的協(xié)作博弈決策和智慧控制機(jī)制來(lái)展開(kāi)思路,研究了互聯(lián)網(wǎng)服務(wù)層和網(wǎng)絡(luò)層的跨層協(xié)作機(jī)制、族群內(nèi)博弈決策機(jī)制、族群間博弈決策機(jī)制和多路徑協(xié)同適配的智慧傳輸控制機(jī)制四部分內(nèi)容,對(duì)智慧協(xié)同網(wǎng)絡(luò)資源適配層理論體系的構(gòu)建做出了一定貢獻(xiàn),具有一定的創(chuàng)新性。在研究方法上,本文運(yùn)用了文獻(xiàn)調(diào)研、模型構(gòu)建、算法設(shè)計(jì)、數(shù)學(xué)推導(dǎo)、仿真評(píng)估等一系列研究方法,來(lái)實(shí)現(xiàn)研究目標(biāo)。
[Abstract]:The matching between service requirements and network resources is the goal of the Internet development at all stages. The traditional Internet architecture has limitations on resource adaptation. The effect of the improved scheme on the traditional network is still not ideal. In recent years, scholars at home and abroad have begun to study various kinds of resources, content, and services. The intelligent collaborative network architecture, as a resource oriented future Internet solution, creatively proposes the concept of resource adaptation layer. The resource adaptation layer realizes the matching between service demand and network resources through the intelligence game decision of the ethnic group, and realizes the intelligent service distribution and the efficient use of network resources. This paper focuses on how resource adaptation layer can realize flow allocation and content distribution through ethnic group game decision-making mechanism, and how to realize intelligent transmission control through multi path coordination adaptation mechanism. The following work is completed in this paper: (1) in the service layer and the network layer cooperation mechanism, the research should be done. With the interaction between layer selfish routing and network layer traffic engineering, two kinds of non cooperative dynamic game models are constructed to describe the selfish topology perception behavior of the application layer and the selfishness monitoring behavior of the network layer. The theoretical analysis shows that when the application layer or the network flow project is implemented in a single aspect, the self optimization strategy is obtained. It is less profitable than the non cooperative game between the two parties. Thus, a game model between two layers is inspired to construct a game model of cooperation between layers, and a cross layer cooperation overhead saving algorithm based on information interaction is proposed to achieve the close access to resources by the service layer users, while the overhead of network transport traffic is optimized. (2) game decision making in the resource adaptation layer group. In the aspect of mechanism, the wisdom of ethnic group game decision is that it can adjust the adaptation strategy dynamically according to the changing service demand and the state of network resources. Its rationality lies in the strategy of Nash equilibrium point of the game to maximize the interests of all parties and change the strategy can not gain greater interests. This paper proposes a kind of service needs to meet the needs of service. On the basis of this, an ethnic group game model is proposed. On this basis, an ethnic group game model is proposed. Two kinds of service quality are optimized for time delay sensitive service and packet loss sensitive service at the equilibrium point. (3) four game models are proposed to analyze inter ethnic based game decision-making in inter group game decision-making. The resource adaptation of the cooperative network should be extensible on the scale. This requires cooperation between ethnic groups to realize the adaptation of inter ethnic resources. In view of the problem of inter ethnic distribution of content resources, each ethnic group determines the optimal content caching and content forwarding sharing strategy through participation game. The comparative analysis of the content distribution overhead and the degree of distributed optimization failure under the four models proves the advantages of the inter ethnic collaboration model. (4) a fair and effective multi-path cooperative transmission control mechanism to meet the service quality requirements is proposed in the transmission control mechanism. The content oriented network should support the high quality service (such as the content resource oriented network). In this paper, multipath transmission control based on path quality intelligent perception is used to achieve efficient transmission of multipath service flow and the friendliness of single path service flow, so that all service streams can share the fair bandwidth allocation when sharing bottleneck links and improve service transmission. This thesis focuses on the cooperative game decision and the intelligent control mechanism of the resource adaptation layer under the intelligent cooperative network architecture, and studies the cross layer cooperation mechanism of the Internet service layer and the network layer, the game decision-making mechanism in the ethnic group, the game decision-making mechanism between the ethnic groups and the wisdom of the multi-path coordination adaptation. The four part of the transmission control mechanism makes a certain contribution to the construction of the intelligent network resource adaptation layer theory system. In the research method, this paper uses a series of research methods, such as literature research, model construction, algorithm design, mathematical deduction, simulation evaluation and so on, to achieve the research goal.

【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP393.02

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張朝昆;崔勇;唐，

本文編號(hào)：1775662