Column generation based-approach for IaaS aware Networked Edge Data-Centers

A. Jarray, Javier Salazar, A. Karmouch, J. Elias, A. Mehaoua
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引用次数: 8

Abstract

In this paper, our focus is on proposing a resource allocation approach for Infrastructure as Cloud Service (IaaS). Networked Edge Data-Centers (DCs) were selected as a physical infrastructure to handle IaaS Cloud requests. Doing so, we hold the potential of providing both a relatively high degree of independence between physical data centers' outages and an opportunity to reach economically IaaS cloud service users with low latency. An IaaS request is defined through two main requirements: Hosting and Networking resources. In literature, a number of works have proposed IaaS mapping approaches, however their focus was mainly on the cloud hosting requirements. Consequently, this may result in a high blocking of IaaS requests and a low utilization of resources inside the DCs due to stranding and fragmentation. To handle these drawbacks, we propose a joint optimization model of DCs and networking IaaS requirements that makes use of Column Generation technique coupled with a Branch and Bound approach in order to solve it efficiently.
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基于列生成的IaaS感知网络边缘数据中心方法
在本文中,我们的重点是为基础设施即云服务(IaaS)提出一种资源分配方法。选择网络边缘数据中心(DCs)作为处理IaaS云请求的物理基础设施。这样做,我们就有可能在物理数据中心的中断之间提供相对高度的独立性,并有机会以低延迟经济地接触IaaS云服务用户。IaaS请求通过两个主要需求定义:主机和网络资源。在文献中,许多作品都提出了IaaS映射方法,但它们主要关注云托管需求。因此,这可能会导致IaaS请求的高度阻塞,并且由于滞留和碎片而导致数据中心内资源的低利用率。为了解决这些问题,我们提出了一个数据中心和网络IaaS需求的联合优化模型,该模型利用列生成技术和分支边界方法来有效地解决这个问题。
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