Service deactivation aware placement and defragmentation in enterprise clouds
Service deactivation aware placement and defragmentation in enterprise clouds
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发表时间：
2011-10
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通讯作者：
S. Dutta;Akshat Verma
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作者：
S. Dutta;Akshat Verma
按需服务激活和停用使私有云成为企业的首选平台。私有云允许最终用户沿着租赁期来请求虚拟机，在此期间将使用虚拟机。由于租约到期而自动停用虚拟机会导致云碎片化;由于虚拟机已停用，大量物理服务器处于低利用率状态。为了优化资源的使用，云需要定期对云进行“碎片整理”，这会导致性能问题。在这项工作中，我们提出了一种服务停用感知的放置方法，SDAP，它将虚拟机的方式，最大限度地减少成本的碎片整理在云中。结合SDAP，我们还提出了一种低成本的碎片整理方法，碎片整理，定期整合云。使用来自实时生产云的请求跟踪，我们表明SDAP和碎片整理可以确保云中的高利用率，而无需昂贵的碎片整理成本。
On-demand service activation and deactivation has made private cloud a platform of choice for enterprises. Private clouds allow end users to request virtual machines along with a lease period, during which the virtual machine will be utilized. Automatic deactivation of virtual machines due to the expiry of the lease leads to fragmentation of the cloud; a large number of physical servers become operational with low utilization as virtual machines have been deactivated. To optimize the use of resources, clouds would need to periodically ‘de-fragment’ the cloud, leading to performance implications. In this work, we propose a service deactivation aware placement methodology, SDAP, which places virtual machines in a way that minimizes the cost of de-fragmentation in the cloud. Coupled with SDAP, we also propose a low cost de-fragmentation methodology, Defrag, to periodically consolidate the cloud. Using request traces from a live production cloud, we show that SDAP and Defrag can ensure high utilization in the cloud without expensive de-fragmentation costs.