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首页> 外文会议>International Teletraffic Congress >Dynamic Virtual Network Traffic Engineering with Energy Efficiency in Multi-location Data Center Networks
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Dynamic Virtual Network Traffic Engineering with Energy Efficiency in Multi-location Data Center Networks

机译：多位置数据中心网络中具有能源效率的动态虚拟网络流量工程

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摘要

For cloud enterprise customers that require services on demand, data centers must allocate and partition data center resources in a dynamic fashion. We consider the problem in which a request from an enterprise customer is mapped to a virtual network (VN) that is allocated requiring both bandwidth and compute resources by connecting it from an entry point of a data center to one or more servers, should this data center be selected from multiple geographically distributed data centers. We present a dynamic traffic engineering framework, for which we develop an optimization model based on a mixed-integer linear programming (MILP) formulation that a data center operator can use at each review point to optimally assign VN customers. Through a series of studies, we then present results on how different VN customers are treated in terms of request acceptance when each VN class has a different resource requirement. We found that a VN class with a low resource requirement has a low blocking even in heavy traffic, while the VN class with a high resource requirement faces a high service denial. On the other hand, cost for the VN with the highest resource requirement is not always the highest in the heavy traffic because of the significantly high service denial faced by this VN class.
机译：对于需要按需服务的云企业客户，数据中心必须以动态方式分配和分区数据中心资源。我们考虑了以下问题：企业客户的请求被映射到虚拟网络（VN），该虚拟网络通过将数据从数据中心的入口点连接到一台或多台服务器来分配带宽和计算资源，如果此数据中心可从多个地理分布的数据中心中选择。我们提出了一个动态交通工程框架，为此我们开发了基于混合整数线性规划（MILP）公式的优化模型，数据中心运营商可以在每个审查点使用该模型来优化分配VN客户。通过一系列研究，我们然后给出了当每个VN类具有不同的资源需求时，如何根据请求接受来对待不同的VN客户的结果。我们发现，资源要求低的VN类即使在繁忙的流量中也具有较低的阻塞，而资源要求高的VN类面临较高的服务拒绝。另一方面，具有高资源需求的VN的成本在繁忙的业务中并不总是最高的，因为该VN类面临的服务拒绝非常高。

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