首页> 外文会议>2012 7th IEEE International Conference on Networking, Architecture and Storage. >C-IRR: An Adaptive Engine for Cloud Storage Provisioning Determined by Economic Models with Workload Burstiness Consideration
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C-IRR: An Adaptive Engine for Cloud Storage Provisioning Determined by Economic Models with Workload Burstiness Consideration

机译:C-IRR:一种由经济模型确定的,适用于工作负载突发性的用于云存储供应的自适应引擎

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摘要

Being the long dreamed vision of computing as a utility, cloud enables convenient and on-demand access to a large centralized pool of resources via network. The emerging of cloud storage offers a rather feasible solution to handle the sheer amount of information. It is maturing and becoming an alternative for on-premise storage. Thus, for IT enterprises with high demand of storage, a big concern is to determine whether it is more cost-effective to lease storage service over clouds. In this paper, we introduce a cloud storage provisioning engine called C-IRR to help users rationally evaluate the benefits of purchasing new disk drives and comparing it against leasing cloud storage offered by Infrastructure as a service (IaaS) providers. We also discuss issues regarding workload burstiness to achieve potential benefit for each applications in local data centers of SaaS providers. The C-IRR migrates the bursty workloads to the clouds and keeps stable ones locally. Such hybrid storage method achieves at least 20% costs saving in total for SaaS companies by experimental evaluation. In addition, C-IRR engine is of adaptivity about fluctuation of storage pricing and manpower cost increasing after the sensitivity studying.
机译:作为将实用程序作为计算工具的梦想已久的愿景,云使得可以通过网络方便且按需访问大型集中式资源池。云存储的出现提供了一个相当可行的解决方案来处理大量信息。它正在成熟,并成为本地存储的替代方法。因此,对于具有高存储需求的IT企业,最主要的问题是确定通过云租用存储服务是否更具成本效益。在本文中,我们引入了一种称为C-IRR的云存储供应引擎,以帮助用户合理地评估购买新磁盘驱动器的好处,并将其与基础设施即服务(IaaS)提供商提供的租赁云存储进行比较。我们还将讨论有关工作负载突发性的问题,以实现SaaS提供商本地数据中心中每个应用程序的潜在利益。 C-IRR将突发性工作负载迁移到云中,并在本地保持稳定。通过实验评估,这种混合存储方法可为SaaS公司总共节省至少20%的成本。另外,经过敏感性研究后,C-IRR引擎对存储价格波动和人力成本增加具有适应性。

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