本文選題：互聯(lián)網(wǎng)定價(jià)策略 + 服務(wù)質(zhì)量　； 參考：《湖南大學(xué)》2012年博士論文

【摘要】：隨著互聯(lián)網(wǎng)應(yīng)用的快速發(fā)展,用戶數(shù)量和內(nèi)容規(guī)模日益龐大。如何在均衡各方面利益的情況下給出最優(yōu)定價(jià)策略是互聯(lián)網(wǎng)經(jīng)濟(jì)學(xué)研究的關(guān)鍵問題之一。服務(wù)質(zhì)量(QoS)和效用模型是當(dāng)前互聯(lián)網(wǎng)定價(jià)策略的主要內(nèi)容。如果僅考慮用戶的QoS等級(jí),雖然可滿足用戶的服務(wù)質(zhì)量需求,提高用戶的滿意度,但是互聯(lián)網(wǎng)服務(wù)提供商(ISP)的設(shè)備部署和維護(hù)成本高,難以保證不斷增多用戶的服務(wù)質(zhì)量；如果考慮效用模型,雖然可均衡ISP與用戶之間的利益關(guān)系,降低ISP的設(shè)備部署和維護(hù)成本,但是難以不同用戶的服務(wù)質(zhì)量。QoS與效用模型相結(jié)合的互聯(lián)網(wǎng)定價(jià)策略可綜合利用這兩種方法的互補(bǔ)優(yōu)勢(shì),不僅采用QoS來提高用戶的滿意度,而且采用效用模型來均衡ISP與用戶的利益。 本文研究基于QoS和效用模型的互聯(lián)網(wǎng)定價(jià)策略。對(duì)運(yùn)營(yíng)商互聯(lián)網(wǎng)中的利益關(guān)系進(jìn)行分析,同時(shí)考慮用戶、ISP和其它ISP之間的利益關(guān)系,建立相應(yīng)模型和開展仿真實(shí)驗(yàn),從而驗(yàn)證其有效性和可行性。本文的主要貢獻(xiàn)包括： (1)已有的互聯(lián)網(wǎng)定價(jià)策略缺乏激勵(lì)兼容性,難以提供任何激勵(lì)約束機(jī)制來有效地使用互聯(lián)網(wǎng),并需要維護(hù)大量的狀態(tài)信息,導(dǎo)致ISP成本較高。本文面向區(qū)分服務(wù)的互聯(lián)網(wǎng)絡(luò)定價(jià)策略,即在QoS服務(wù)級(jí)別引入效用模型,利用QoS和效用模型結(jié)合來建立定價(jià)模型及定價(jià)方法。本文首先按照不同用戶的QoS需求,為不同用戶分配最優(yōu)的資源。在此基礎(chǔ)上,獲得滿足客戶滿意度最大化和ISP的收益最大化的價(jià)格均衡點(diǎn),用以均衡用戶和ISP之間的利益。最后通過模擬實(shí)驗(yàn)驗(yàn)證了所提定價(jià)策略的可行性。 (2)基于模型的定價(jià)策略存在機(jī)制不靈活等缺點(diǎn),難以適應(yīng)用戶需求和資源負(fù)載的動(dòng)態(tài)變化�；谑褂寐实亩▋r(jià)策略存在計(jì)算復(fù)雜度大等缺點(diǎn),導(dǎo)致收斂速度慢且難以實(shí)現(xiàn)。本文提出了一種網(wǎng)絡(luò)擁塞敏感的互聯(lián)網(wǎng)定價(jià)策略�？紤]互聯(lián)網(wǎng)擁塞情況,結(jié)合QoS、效用模型和擁塞控制等建立擁塞定價(jià)模型。為了抑制擁塞,引入了擁塞發(fā)生時(shí)的懲罰價(jià)格,如果用戶產(chǎn)生了過多的流量導(dǎo)致?lián)砣l(fā)生,就對(duì)超出的流量收取懲罰費(fèi)用。仿真實(shí)驗(yàn)結(jié)果表明,本文所提出的擁塞敏感的定價(jià)策略可以有效的抑制擁塞,而且具有計(jì)算量小,收斂速度快的優(yōu)點(diǎn)。 (3)本文提出一種基于納什均衡的網(wǎng)絡(luò)服務(wù)提供商互聯(lián)定價(jià)策略。該策略在考慮QoS服務(wù)等級(jí)的情況下,為了減少ISP之間流量傳輸定價(jià),采用博弈論中的納什均衡方法分析ISP之間利益關(guān)系,探討兩個(gè)或多個(gè)ISP之間的互聯(lián)網(wǎng)定價(jià),從而確定最優(yōu)的私有交換點(diǎn)設(shè)置條件。以及確定隨時(shí)間變化的ISP之間最優(yōu)連接的拓?fù)潢P(guān)系。仿真實(shí)驗(yàn)結(jié)果驗(yàn)證了所提方法的有效性。 (4)本文提出了一種基于納什議價(jià)博弈的互聯(lián)網(wǎng)混合市場(chǎng)定價(jià)策略。為了降低系統(tǒng)流量傳輸消耗,利用納什議價(jià)博弈方法分析用戶和ISP之間、ISP和其他ISP之間利益關(guān)系。從而確定最優(yōu)ISP和ISP之間的連接方式以及用戶和ISP之間的最優(yōu)連接方式。仿真實(shí)驗(yàn)結(jié)果證明了所提策略的可行性和有效性。
[Abstract]:With the rapid development of Internet applications, the number of users and the content of the increasingly large scale. The optimal pricing strategy in balancing the interests of all parties to give the case is one of the key issues of internet economics. The quality of service (QoS) and the utility model is the main content of the current Internet pricing strategy. If only consider the QoS level of the user, although to meet the needs of the user's service quality, improve customer satisfaction, but the Internet service provider (ISP) equipment deployment and maintenance costs are high, it is difficult to guarantee the quality of service of users is increasing; if considering the utility model, although the equilibrium between ISP and user interests, reduce the deployment of ISP equipment and maintenance costs, but the Internet pricing according to the strategy of quality of service.QoS and the utility model is difficult to different users the comprehensive utilization of these two kinds of methods of complementary advantages, not only. Use QoS to improve user satisfaction, and use a utility model to balance the interests of ISP and users.
This study is based on the Internet Pricing Strategy QoS and utility model. The relationship between the interests of Internet operators are analyzed, considering the users between ISP and other ISP interests, establish the corresponding model and carry out simulation experiments to verify its effectiveness and feasibility. The main contributions of this thesis include:
(1) the Internet Pricing Strategy of existing lack of incentive compatibility, it is difficult to provide any incentive and restraint mechanisms to effectively use the Internet, and need to maintain a considerable amount of state information, resulting in ISP high cost. In this paper based on the pricing strategies of Internet services, the service level using the utility model in QoS, and the utility model combined by QoS the establishment of pricing model and pricing method. Firstly, according to the QoS requirement of different users, different users for the optimal allocation of resources. On the basis of satisfying revenue maximization to maximize customer satisfaction and ISP price equilibrium between users and to balance the interests of ISP. Finally, through simulation experiments to verify the feasibility of the proposed pricing strategy.
(2) there are shortcomings of the mechanism is not flexible pricing strategy based on the model, it is difficult to adapt to the dynamic change of user requirements and resource load. The usage rate of the pricing strategy calculation complexity based on the shortcomings, resulting in slow convergence and difficult to achieve. This paper proposes a network of Internet pricing strategy has Saimin sense. Consider the Internet congestion situation, combined with QoS, the utility model and congestion control to establish congestion pricing model. In order to suppress the congestion, introduces the congestion penalty price, if the user has too much traffic congestion occurs, will charge for excess traffic penalty cost. Simulation results show that the proposed congestion sensitive pricing the strategy can restrain the congestion effectively, but also has a small amount of calculation, the advantages of fast convergence.
(3) this paper proposes a network service provider Internet Pricing Strategy Based on Nash equilibrium. The strategy in considering the QoS service level under the condition, in order to reduce the ISP traffic transmission pricing, based on the Nash equilibrium game theory analysis in the interest relationship between ISP, explore the Internet pricing between two or more ISP, thus to determine the optimal conditions for the exchange. The private setting and determining between the time-varying ISP optimal connection topology. Simulation results verify the effectiveness of the proposed method.
(4) this paper presents a Nash bargaining game of the Internet market pricing strategy based on hybrid transmission system. In order to reduce the flow of consumption, using Nash bargaining game analysis between the user and the ISP, the interests of the relationship between ISP and other ISP. To determine the optimum connection mode between ISP and ISP and between the optimal user and ISP connection simulation results show that the proposed method is feasible and effective.

【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2012
【分類號(hào)】：F224;F49

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