托管即服务:云托管的战略和运营服务

Vatche Isahagian, Raymond Sweha, Jorge Londoño, Azer Bestavros
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引用次数: 15

摘要

通过与基础设施即服务(IaaS)产品的其他租户协作,IaaS用户可以明智地共享他们对IaaS提供商提供的固定大小实例的使用,从而节省大量成本。本文给出了托管即服务(CaaS)框架的蓝图。CaaS战略服务确定将从共享实例上的托管中受益的自利用户联盟。CaaS操作服务提供必要的信息,并执行战略服务要求的重新配置。提供商可以将CaaS并入IaaS产品中;它可以作为IaaS经销商的增值主张来实施;或者它可以被IaaS用户以点对点的方式直接利用。为了建立这些产品的实用性,本文提出了XCS——一个在Xen管理程序之上的CaaS的原型实现。XCS针对CaaS框架的各种元素做出具体选择:它基于托管的博弈论公式实现战略服务;它具有新颖的并发迁移启发式,被证明是有效的;它在虚拟机管理程序和虚拟机层都提供监控和记帐服务。通过在XCS原型上运行PlanetLab跟踪驱动工作负载获得的大量实验结果证实了CaaS的前提-通过展示XCS的效率和可扩展性,并通过量化通过使用XCS积累的潜在成本节约。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Colocation as a Service: Strategic and Operational Services for Cloud Colocation
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.
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