Survivable Cloud Network Mapping for Disaster Recovery Support
Survivable Cloud Network Mapping for Disaster Recovery Support
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DOI：
10.1109/tc.2014.2360542
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发表时间：
2015-08
影响因子：
3.7
通讯作者：
Feng Gu;K. Shaban;N. Ghani;S. Khan;M. Rahnamay-Naeini;M. Hayat;C. Assi
中科院分区：
文献类型：
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作者：
Feng Gu;K. Shaban;N. Ghani;S. Khan;M. Rahnamay-Naeini;M. Hayat;C. Assi
网络虚拟化是提高云计算服务的可伸缩性和可靠性的关键配置。近年来，开发了各种映射方案来保留基底网络上的VN资源。然而，许多云提供商非常关心在产生多个系统故障的灾难性灾难条件下提高服务可靠性。为了解决这一问题，本文提出了一种新的故障区域-不相交VN映射方案，以提高VN映射的生存能力。首先将该问题表述为一个混合整数线性规划问题，然后提出两种启发式解来计算一对失效区域-不相交的VN映射。该解决方案还考虑了映射成本和负载平衡问题，以帮助提高资源效率。然后详细分析了各种网络的方案，并将其与一些现有的可生存VN映射方案进行了比较。
Network virtualization is a key provision for improving the scalability and reliability of cloud computing services. In recent years, various mapping schemes have been developed to reserve VN resources over substrate networks. However, many cloud providers are very concerned about improving service reliability under catastrophic disaster conditions yielding multiple system failures. To address this challenge, this work presents a novel failure region-disjoint VN mapping scheme to improve VN mapping survivability. The problem is first formulated as a mixed integer linear programming problem and then two heuristic solutions are proposed to compute a pair of failure region-disjoint VN mappings. The solution also takes into account mapping costs and load balancing concerns to help improve resource efficiencies. The schemes are then analyzed in detail for a variety of networks and their overall performances compared to some existing survivable VN mapping schemes.