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Resource provisioning based on preempting virtual machines in distributed systems

机译:基于抢占式虚拟机的资源调配

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Resource provisioning is one of the main challenges in large-scale distributed systems such as federatedrnGrids. Recently, many resource management systems in these environments have started to use the leasernabstraction and virtual machines (VMs) for resource provisioning. In the large-scale distributed systems,rnresource providers serve requests from external users along with their own local users. The problem arisesrnwhen there is not sufficient resources for local users, who have higher priority than external ones, and needrnresources urgently. This problem could be solved by preempting VM-based leases from external users andrnallocating them to the local ones. However, preempting VM-based leases entails side effects in terms ofrnoverhead time as well as increasing makespan of external requests. In this paper, we model the overheadrnof preempting VMs. Then, to reduce the impact of these side effects, we propose and compare severalrnpolicies that determine the proper set of lease(s) for preemption. We evaluate the proposed policies throughrnsimulation as well as real experimentation in the context of InterGrid under different working conditions.rnEvaluation results demonstrate that the proposed preemption policies serve up to 72% more local requestsrnwithout increasing the rejection ratio of external requests.
机译:资源配置是诸如federatedrnGrids之类的大规模分布式系统中的主要挑战之一。最近,这些环境中的许多资源管理系统已开始使用租用抽象和虚拟机(VM)进行资源供应。在大型分布式系统中,资源提供者服务于来自外部用户及其本地用户的请求。当没有足够的资源供本地用户使用,而本地用户的资源优先级高于外部资源时,就会出现问题,并且迫切需要资源。通过从外部用户抢占基于VM的租约并将其分配给本地用户,可以解决此问题。但是,抢占基于VM的租约会带来额外的开销,如节省额外的时间以及增加外部请求的有效期。在本文中,我们对headerrnof抢占式VM进行建模。然后,为了减少这些副作用的影响,我们提出并比较了几种确定优先购买租约的策略。我们通过模拟以及在不同工作条件下在InterGrid环境下进行的实际实验来评估所提议的策略。评估结果表明,所提议的抢占策略在不增加外部请求的拒绝率的情况下,可满足多达72%的本地请求。

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