Joint resource allocation and traffic management for cloud video distribution over software-defined networks

Zhenghuan Zhang, Xiaofeng Jiang, H. Xi
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引用次数: 4

Abstract

The rapid progress of cloud technology has attracted a growing number of video providers to deploy their streaming services onto multiple distributed datacenters for more cost-effective performance. The emerging Software-Defined Networking (SDN) technology overcomes the limitation of the existing network and provides a promising solution to manage the underlying network. In this paper, we introduce an SDN-enabled cloud video distribution architecture and propose a joint resource allocation and traffic management mechanism to improve user experience and reduce the system operational cost. We use a delay utility function to represent user experience and formulate the joint optimization problem as a convex optimization problem. We conduct simulations to evaluate the performance of our algorithm and the results show that our strategy can effectively cut down the total cost and guarantee user experience.
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软件定义网络上云视频分发的联合资源分配和流量管理
云技术的快速发展吸引了越来越多的视频提供商将他们的流媒体服务部署到多个分布式数据中心,以获得更经济高效的性能。新兴的软件定义网络(SDN)技术克服了现有网络的局限性,为底层网络的管理提供了一种很有前景的解决方案。本文介绍了一种基于sdn的云视频分发架构,并提出了一种联合资源分配和流量管理机制,以提高用户体验,降低系统运营成本。我们使用延迟效用函数来表示用户体验,并将联合优化问题表述为凸优化问题。我们通过仿真来评估算法的性能,结果表明我们的策略可以有效地降低总成本并保证用户体验。
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