考虑站点间连通性和距离的链路保护网络设计方法

Tsuyoshi Yamasaki, M. Anan, H. Miwa
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引用次数: 6

摘要

网络对可靠性的要求很高,因此建立一个能够容忍网络故障的健壮网络是非常重要的。特别是在内容交付服务中,必须避免由于服务器和接收服务的节点之间的通信路径断开而导致的服务中断。内容交付服务使用包含原始内容的主服务器和保存内容副本的多个边缘服务器(镜像服务器),以便即使在发生故障时,主服务器和边缘服务器之间也存在通信路径。除了保证网络连通性外,从抑制通信质量下降和拥塞可能性的角度出发,必须避免从正常运行时使用的路径切换到故障时使用的替代路径时路径长度的大幅增加。然而,建立这样高可靠性的网络需要巨大的成本。因此,有必要设计一种网络设计,即使发生故障,也可以通过抑制路径长度的突然增加来实现主服务器和边缘服务器之间通信的连续性。本文提出了一个网络设计问题,并证明了它是np困难的。我们还设计了一种多项式时间近似算法,用于故障链路数量恒定的情况,并评估了其在各种实际网络拓扑中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Design Method Based on Link Protection Taking Account of the Connectivity and Distance Between Sites
High reliability is required in networks, and it is important to build robust networks that are tolerant to network failures. In content delivery services in particular, service interruptions due to disconnection of communication paths between the server and nodes that receive the service must be avoided. Content delivery services use a master server that contains the original content and multiple edge-servers (mirror servers) that hold copies of the content so that communication paths exist between the master server and the edge-servers even in the event of a failure. In addition to the guarantee of network connectivity, large increases in path lengths when changing from the paths used during normal operation to alternative paths in the event of a failure must be avoided from the viewpoint of suppressing degradation of the communication quality and the possibility of congestion. However, building such high-reliability networks involves huge costs. Therefore, it is considered necessary to devise a network design that can realize continuity of communication between the master server and the edge-servers by suppressing sudden increases in path length, even if a failure occurs. In this paper, we formulate a network design problem and show that it is NP-hard. We also design a polynomial-time approximation algorithm for the case where the number of failed links is constant, and we evaluated its performance in various actual network topologies.
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