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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Enabling Customer-Provided Resources for Cloud Computing: Potentials,Challenges, and Implementation
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Enabling Customer-Provided Resources for Cloud Computing: Potentials,Challenges, and Implementation

机译:启用客户提供的云计算资源:潜力,挑战和实施

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摘要

Recent years have witnessed as an efficient means for providing resources as a form of utility. Driven by the strong demands, industrial pioneers have offered commercial cloud platforms, mostly datacenter-based, which are known to be powerful and effective. Yet, as the cloud customers are pure consumers, their local resources, though abundant, have been largely ignored. In this paper, We present , a real working system that seamlessly integrates the customers’ local resources into the cloud platform, enabling them to sell, buy, and utilize these resources. We also investigate the potentials and challenges towards enabling customer-provided resources for cloud computing. Given that these local resources are highly heterogeneous and dynamic, we closely examine two critical challenges in this new context: (1) How can the customers be motivated to contribute or utilize such resources? and (2) How can high service availability be ensured out of the dynamic resources? We demonstrate a distributed market for potential sellers to flexibly and adaptively determine their resource prices through a repeated seller competition game. We also present an optimal resource provisioning algorithm that ensures service availability with minimized lease and migration costs. The evaluation results indicate it as a flexible and less expensive complement to the pure datacenter-based cloud.
机译:近年来,见证了作为一种实用程序提供资源的有效手段。在强烈的需求推动下,工业先驱们提供了商业化的云平台,主要是基于数据中心的强大而有效的平台。然而,由于云客户是纯粹的消费者,因此他们的本地资源尽管丰富,但却被很大程度上忽略了。在本文中,我们介绍了一个真正的工作系统,该系统将客户的本地资源无缝集成到云平台中,使他们能够出售,购买和利用这些资源。我们还将调查在启用客户提供的云计算资源方面的潜力和挑战。鉴于这些本地资源是高度异构且动态的,因此在此新情况下,我们将仔细研究两个关键挑战:(1)如何激发客户贡献或使用此类资源的动力? (2)如何从动态资源中确保高服务可用性?我们展示了一个分布式市场,供潜在卖方通过重复的卖方竞争博弈灵活而自适应地确定其资源价格。我们还提出了一种优化的资源供应算法,该算法可确保服务可用性,同时将租赁和迁移成本降至最低。评估结果表明,它是对基于数据中心的纯云的一种灵活而便宜的补充。

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