本文選題：云媒體 + 資源分配　； 參考：《中國海洋大學(xué)》2014年碩士論文

【摘要】：云媒體是云計(jì)算與多媒體服務(wù)相結(jié)合而形成的一種新興的服務(wù)模式。它是將各種形式，如電視、網(wǎng)絡(luò)、手機(jī)等媒體信息聚合成一個媒體資源空間，進(jìn)而構(gòu)建一個超媒體傳遞、多樣化服務(wù)的信息資源集成共享平臺。云媒體可廣泛應(yīng)用在辦公自動化、廣電通信、電子商務(wù)、健康監(jiān)護(hù)等領(lǐng)域，具有十分廣闊的應(yīng)用前景。 云計(jì)算能夠提供動態(tài)資源池、虛擬化服務(wù)的計(jì)算平臺，具有強(qiáng)大的數(shù)據(jù)處理能力，因此，隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展，大量媒體數(shù)據(jù)的應(yīng)用系統(tǒng)不斷涌現(xiàn)。本文研究如何利用云計(jì)算技術(shù)處理多媒體數(shù)據(jù)，從而更好的為云媒體用戶提供更高質(zhì)量的服務(wù)，具有重要的理論意義和應(yīng)用價(jià)值。 由于媒體本身的固有屬性，使得原有的媒體資源分配和調(diào)度算法已無法應(yīng)用在復(fù)雜的云媒體環(huán)境中。同時(shí)，提高云媒體的服務(wù)質(zhì)量面臨著巨大的挑戰(zhàn)，包括異構(gòu)資源統(tǒng)一管理、滿足不同用戶服務(wù)等級協(xié)議（SLA，Service Level Agreement）的合理云資源調(diào)度等。而如何降低云媒體數(shù)據(jù)中心能耗；提高系統(tǒng)資源利用率以及建立有效的資源管理模型，進(jìn)而，提高云媒體服務(wù)質(zhì)量和用戶服務(wù)滿意度，是云媒體資源分配中亟待解決的問題。 本論文研究了云媒體資源分配中的主要問題，包括：最小化任務(wù)總執(zhí)行時(shí)間，降低任務(wù)的處理成本，最大程度的滿足用戶需求，從而，實(shí)現(xiàn)滿足云媒體服務(wù)性能的最優(yōu)化云資源分配調(diào)度。 論文首先研究了云媒體資源分配的相關(guān)技術(shù)，，結(jié)合云媒體環(huán)境中執(zhí)行時(shí)間、任務(wù)成本、數(shù)據(jù)中心能耗和資源利用率等問題，使用效用計(jì)算模型，將上述問題轉(zhuǎn)化為服務(wù)效用問題；從云媒體服務(wù)提供者和云媒體服務(wù)請求者出發(fā)，提出相應(yīng)的效用函數(shù)模型；使用服務(wù)價(jià)格，服務(wù)響應(yīng)時(shí)間和服務(wù)帶寬等屬性對該模型進(jìn)行統(tǒng)一化描述；然后利用云媒體服務(wù)雙方的效用函數(shù)值和讓步機(jī)制，得到最大效用化的云媒體資源分配策略，最后提出基于協(xié)商機(jī)制的資源分配算法RAANM(Resource Allocation Algorithm based on Negotiation Mechanism)。本文提出的資源分配策略使得云媒體資源分配的目標(biāo)函數(shù)不再是最小化最大完成時(shí)間，而是以達(dá)到效用值最大為目標(biāo)，這樣，可進(jìn)一步提高用戶的服務(wù)滿意度。仿真實(shí)例驗(yàn)證了該算法的有效性。 本文的創(chuàng)新點(diǎn)是，提出了云媒體服務(wù)的效用函數(shù)模型，結(jié)合效用函數(shù)、讓步策略和相應(yīng)的協(xié)商機(jī)制效用模型，提出了RAANM算法。
[Abstract]:Cloud media is a new service model formed by the combination of cloud computing and multimedia services. It aggregates all kinds of media information, such as TV, network, mobile phone and so on, into a media resource space, and then constructs a platform for information resources integration and sharing of hypermedia transmission and diversified services. Cloud media can be widely used in office automation, radio and television communications, electronic commerce, health monitoring and other fields, with a very broad application prospects. Cloud computing can provide dynamic resource pool, virtualization service computing platform, and has powerful data processing ability. Therefore, with the development of Internet technology, a large number of media data applications are emerging. This paper studies how to use cloud computing technology to deal with multimedia data, so as to provide a better service for cloud media users, which has important theoretical significance and application value. Due to the inherent properties of media itself, the original media resource allocation and scheduling algorithms can not be applied in the complex cloud media environment. At the same time, improving the quality of service of cloud media faces great challenges, including unified management of heterogeneous resources, reasonable scheduling of cloud resources to meet different user service level agreements (SLA-Service Level agreements) and so on. However, how to reduce the energy consumption of cloud media data centers, improve the utilization of system resources and establish an effective resource management model, and then improve the quality of cloud media services and customer service satisfaction, is an urgent problem in the allocation of cloud media resources. This paper studies the main problems in the allocation of cloud media resources, including: minimizing the total execution time of the task, reducing the processing cost of the task, and meeting the needs of the user to the greatest extent. The optimal cloud resource allocation scheduling can satisfy the performance of cloud media service. Firstly, the paper studies the related technologies of cloud media resource allocation, and uses utility calculation model, combining with the problems of execution time, task cost, data center energy consumption and resource utilization in cloud media environment. From the cloud media service provider and the cloud media service requester, the corresponding utility function model is put forward, and the service price is used. The model is described uniformly by the attributes of service response time and service bandwidth, and then the maximum utility allocation strategy of cloud media resources is obtained by using the utility function value and concession mechanism of both sides of cloud media services. Finally, a resource allocation algorithm based on negotiation mechanism, RAANM(Resource Allocation Algorithm based on Negotiation mechanics, is proposed. The resource allocation strategy proposed in this paper makes the objective function of resource allocation in cloud media not to minimize the maximum completion time, but to achieve the maximum utility value, which can further improve the service satisfaction of users. The effectiveness of the algorithm is verified by a simulation example. The innovation of this paper is that the utility function model of cloud media service is proposed, and the RAANM algorithm is proposed by combining utility function, concession strategy and corresponding negotiation mechanism utility model.
【學(xué)位授予單位】：中國海洋大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.09

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