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Sustainable and resilient network infrastructure design for cloud data centers

机译:云数据中心的可持续和弹性网络基础设施设计

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摘要

A datacenter is a pool of resources such as computational, storage, and servers interconnected using a communications network. Data Center Networking (DCN) holds a pivotal role, and it needs to be scalable and efficient to connect the growing number of servers so as to handle the intensive demands of cloud computing. Recently there has been a rapidly growing field of literature on DCNs, but it mainly focus on studying how to model and evaluate the resource provisioning and allocation algorithms for more effective and efficient resource management of a cloud system. Unfortunately, there are not many studies that reveal how the underlying network`s topological connectivity can affect the DCNs` performance, in areas such as energy consumption and service resilience. There is a saying that ‘it is not what you know but who you know’ i.e., algorithm, connectivity, which argues that people get ahead in life based on their connections, not on their skills or knowledge, and every day offers evidence of this proverb. This case also applies to DCNs. DCNs performance is not merely a function of resource provisioning and allocation, but also it is a network-wide activity. The structure and ties that link a data center to other data centers are also critical factors.In this thesis, the researcher has proposed a method for evaluating topological metrics (network robustness metrics and node centrality metrics) to identify critical nodes and edges in a network so that it measures the overall DCN network performance change (throughput, latency, packet drop ratio) according to the faults on the network. We have identified the energy changes according to the change of internal DCNs; the simulation study showed that the traffic load has a large impact on energy consumption. Apart from that, the state of the art for modern DCNs is elaborated that depicts the true picture of the current progress in this field where good research can actively contribute.
机译:数据中心是使用通信网络互连的资源池,例如计算,存储和服务器。数据中心网络(DCN)扮演着举足轻重的角色,它需要具有可伸缩性和高效性,以连接数量不断增长的服务器,以应对云计算的密集需求。最近,有关DCN的文献迅速增长,但它主要侧重于研究如何建模和评估资源供应和分配算法,以更有效地管理云系统的资源。不幸的是,在能源消耗和服务弹性等领域,没有多少研究能够揭示基础网络的拓扑连接性如何影响DCN的性能。有一种说法是“不是你知道的,而是你知道的人”,即算法,连通性,它表明人们根据自己的联系而不是他们的技能或知识来取得生活上的成功,并且每天都提供这一点的证据。谚语。这种情况也适用于DCN。 DCN的性能不仅是资源供应和分配的功能,而且是网络范围的活动。将数据中心链接到其他数据中心的结构和联系也是关键因素。在本文中,研究人员提出了一种评估拓扑指标(网络健壮性指标和节点中心性指标)的方法,以识别网络中的关键节点和边缘。因此,它可以根据网络上的故障来衡量整个DCN网络性能的变化(吞吐量,延迟,丢包率)。我们已经根据内部DCN的变化确定了能量变化;仿真研究表明,交通负荷对能耗的影响很大。除此之外,还阐述了现代DCN的最新技术,它描绘了该领域当前的进展的真实情况,在这些领域中,良好的研究可以做出积极的贡献。

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    Qi Ritchie;

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  • 年度 2016
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