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Iris: An Inter-cloud Resource Integration System for Elastic Cloud Data Centers

机译:虹膜:弹性云数据中心的云间资源集成系统

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This paper proposes a new cloud computing service model, Hardware as a Service (HaaS), that is based on the idea of implementing "elastic data centers" that provide a data center administrator with resources located at different data centers as demand requires. To demonstrate the feasibility of the proposed model, we have developed what we call an Inter-cloud Resource Integration System (Iris) by using nested virtualization and OpenFlow technologies. Iris dynamically configures and provides a virtual infrastructure over inter-cloud resources, on which an IaaS cloud can run. Using Iris, we have confirmed an IaaS cloud can seamlessly extend and manage resources over multiple data centers. The experimental results on an emulated inter-cloud environment show that the overheads of the HaaS layer are acceptable when the network latency is less than 10 ms. In addition, we reveal the large overhead from nested virtualization and show positive prospect for this problem. We believe these results provide new insight to help establish inter-cloud computing.
机译:本文提出了一种新的云计算服务模型,硬件作为服务(HAAS),这是基于实现“弹性数据中心”的想法,该概念提供了在需求所需的情况下提供位于不同数据中心的资源的数据中心管理员。为了展示所提出的模型的可行性,我们通过使用嵌套的虚拟化和OpenFlow技术开发了我们通过嵌套的虚拟化(IRIS)所称的。 IRIS动态地配置并提供云间资源的虚拟基础架构,可以在其中运行IAAS Cloud。使用IRIS,我们已确认IAAS Cloud可以通过多个数据中心无缝扩展和管理资源。模拟云间环境上的实验结果表明,当网络延迟小于10毫秒时,HAAS层的开销是可接受的。此外,我们揭示了嵌套虚拟化的大幅度,并为此问题显示了积极的前景。我们认为这些结果提供了新的洞察力,以帮助建立云间计算。

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