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Colocation as a Service: Strategic and Operational Services for Cloud Colocation

机译:作为服务的扑发:云扑发的战略和运营服务

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By colocating with other tenants of an Infrastructure as a Service (IaaS) offering, IaaS users could reap significant cost savings by judiciously sharing their use of the fixed-size instances offered by IaaS providers. This paper presents the blueprints of a Colocation as a Service (CaaS) framework. CaaS strategic services identify coalitions of self-interested users that would benefit from colocation on shared instances. CaaS operational services provide the information necessary for, and carry out the reconfigurations mandated by strategic services. CaaS could be incorporated into an IaaS offering by providers; it could be implemented as a value-added proposition by IaaS resellers; or it could be directly leveraged in a peer-to-peer fashion by IaaS users. To establish the practicality of such offerings, this paper presents XCS – a prototype implementation of CaaS on top of the Xen hypervisor. XCS makes specific choices with respect to the various elements of the CaaS framework: it implements strategic services based on a game-theoretic formulation of colocation; it features novel concurrent migration heuristics which are shown to be efficient; and it offers monitoring and accounting services at both the hypervisor and VM layers. Extensive experimental results obtained by running PlanetLab trace-driven workloads on the XCS prototype confirm the premise of CaaS – by demonstrating the efficiency and scalability of XCS, and by quantifying the potential cost savings accrued through the use of XCS.
机译:通过与作为服务(IAAS)提供的基础设施的其他租户的融合,IAAS用户可以通过明智地分享IAAS提供商提供的固定规模实例来获得大量成本节省。本文介绍了作为服务(CAAS)框架的扑发的蓝图。 CAAS战略服务识别自相关用户的联盟,这些联盟将从共享实例上获益。 CAAS运营服务提供必要的信息,并执行战略服务要求的重新配置。 CAA可以纳入供应商提供的IAAS;它可以作为IAAS经销商的增值主张实施;或者它可以由IAAS用户直接以对等方式利用。为了建立这种产品的实用性,本文介绍了XEN虚拟机管理程序顶部CAA的原型实施。 XCS对CAAS框架的各种元素进行了特定的选择:它基于基于扑发的游戏 - 理论制定来实现战略服务;它具有新颖的并发迁移启发式,显示为效率;它在虚拟机管理程序和VM层中提供监控和会计服务。通过在XCS原型上运行PlanetLab跟踪驱动的工作负载获得的广泛实验结果证实了CAA的前提 - 通过展示XCS的效率和可扩展性,并通过使用XCS来量化累积的潜在成本节省。

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