Quality of Service Provision in Cloud-Based Storage System for Multimedia Delivery

Quality of Service Provision in Cloud-Based Storage System for Multimedia Delivery
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DOI:
10.1109/jsyst.2013.2257338
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发表时间:
2014-03
影响因子:
4.4
通讯作者:
Yen-Ming Chu;N. Huang;Sheng-Hsiung Lin
Yen-Ming Chu;N. Huang;Sheng-Hsiung Lin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Yen-Ming Chu;N. Huang;Sheng-Hsiung Lin

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随着各种多媒体应用、服务和设备的出现,多媒体传输将成为互联网的主要业务,并将持续快速增长。为了服务于这种大规模的多媒体应用,越来越多的服务提供商将他们的视频资产存储在云中,并跨云向他们的消费者交付流媒体,例如YouTube。沿着用户的增长和不断产生的媒体内容量,传统的基于云的存储存在两个缺点。首先,需要大量的服务器和存储设备,这很容易成为整个系统的性能瓶颈。第二,在大规模的情况下,为了提供不同类别的服务,系统往往需要许多额外的设备。本文提出了一个强大的,可扩展的,高可用性和服务水平的供应基于云的存储系统,专门为分发多媒体内容。该系统包含一个经过验证的自适应服务质量(AQoS)算法,以提供不同的服务水平。该系统还可以灵活地应用于大、中、小型环境。此外,还开发了一些算法来提高系统的整体性能和容错能力。实现和实验结果表明,该系统可以满足在实验室和实际的商业服务环境的要求。
With the emergence of various multimedia applications, service and devices, multimedia delivery is expected to become the major traffic of Internet which will keep increasing rapidly. In order to serve such large scale multimedia applications, more and more service providers store their video assets in the cloud and delivery streaming to their consumers cross cloud, for example, YouTube. Along with the growth of users and the amount of media content constantly being produced, traditional cloud-based storage has two drawbacks. First, a lot of servers and storages devices are needed, which could easily be the performance bottleneck in the whole system. Second, to provide differential classes of services in the large-scale situation, system tends to need many additional devices. This article proposes a robust, scalable, highly available and service level provisioning cloud-based storage system designed specifically for distributing multimedia content. The proposed system contains a proven Adaptive Quality of Service (AQoS) algorithm in order to provide differential service levels. The system can also be used flexibly in large, medium and small-scale environment. In addition, some algorithms are also developed to increase overall system performance and fault tolerance. Implementations and experiment results show that the proposed system can meet the requirements both in the laboratory and a practical commercial service environment.