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Server Location Method for Keeping Shorter Distance from Users to Servers During Failures

机译:服务器定位方法,用于在故障期间使用户到服务器的距离更短

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Recently, large contents in the Internet have increased loads of contents servers, networks and data centers, which may degrade the quality of services. To overcome this problem, some mirror servers providing the same contents are located on a network and a request is navigated to one of the mirror servers. A user must access to one of the servers and the hop length of a path from a user to a server should be short even during link failure. As it affects the performance, the location of the mirror servers is important. In this paper, we address the server location problem, which determines the location of the servers satisfying the following the constraint: any users can access servers within a small hop count even if some links fail. First, we formulate this problem and prove that it is NP-hard. Second, we present a heuristic polynomial-time algorithm for the case that the increase of the distance between a user node and servers during failure is restricted to be the number of nodes. Furthermore, we also present an approximation algorithm to solve this problem when the number of servers to be accessed is restricted to one and the number of simultaneously failed links is a constant positive integer, and we evaluate the performance by using some actual network topologies.
机译:最近,互联网中的大内容增加了内容服务器,网络和数据中心的负荷,这可能会降低服务质量。为了克服这个问题,提供具有相同内容的一些镜像服务器位于网络上,并且将请求导航到镜像服务器之一。用户必须访问一个服务器之一,并且即使在链路故障期间也应该短暂地访问来自用户到服务器的路径。由于它影响性能,镜像服务器的位置很重要。在本文中,我们解决了服务器位置问题,该问题确定满足以下约束的服务器的位置:即使某些链接失败,任何用户也可以在小跳数中访问服务器。首先,我们制定这个问题并证明它是np-hard。其次,我们介绍了一种启发式多项式时间算法,即失败期间用户节点和服务器之间的距离的增加被限制为节点的数量。此外,当要访问的服务器的数量限制为一个恒定的正整数时,我们还呈现了一个近似算法来解决这个问题,并且我们通过使用一些实际的网络拓扑来评估性能。

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