Approximate Algorithms for Survivable Network Design

Hong Shen
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引用次数: 3

Abstract

Along with the rapid development of network communication technology and the explosive growth of the internet applications, network reliability appears increasingly important to both traditional areas such as defense, finance and power industry, and emerging areas such as trusted computing, cloud computing and next-generation Internet. An interesting subject that has attracted great effort is how to design network topologies with a minimum network resource usage in terms of cost that provides a relibility guarantee. As problems on this subject, like most other network optimization problems, are well-known NP-hard even in their simplest form, design of effective solutions with a guaranteed approximation ratio from the optimal solution has been a major research focus of great significance for both theory and applications. This survery summarizes major existing techniques and results for solving some central problems in designing survivable networks including the minimal connected sub graph problem, the survivable network design problem and the Steiner minimal network problem.
可生存网络设计的近似算法
随着网络通信技术的飞速发展和互联网应用的爆炸式增长,无论是国防、金融、电力等传统领域,还是可信计算、云计算、下一代互联网等新兴领域,网络可靠性都显得越来越重要。如何在保证可靠性的前提下,以最小的网络资源使用成本来设计网络拓扑,是一个引起人们极大关注的课题。由于该问题与大多数其他网络优化问题一样,即使在最简单的形式下,也是众所周知的NP-hard问题,因此设计最优解具有保证近似比的有效解一直是一个重要的研究热点,具有重要的理论和应用意义。本文综述了可生存网络设计中的一些核心问题,包括最小连通子图问题、可生存网络设计问题和斯坦纳最小网络问题的现有主要技术和研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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