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How Checkpointing Can Reduce Cost of Using Clouds?

机译：检查点如何降低使用云的成本？

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With the recent advent of Cloud Computing, the vision of computing as a utility has reached new heights. Resource prices can now change dynamically based on current demand and supply. In December 2009, Amazon released Spot Instances, which sell the spare capacity of their data centers. This spare capacity is sold using an auction-like bidding system. Instances are allocated or terminated depending on whether the current instance price is above or below the user's bid price. While pricing and reliability can vary dramatically and dynamically, current middleware have few mechanisms that deal with the cost-reliability trade-offs effectively. Also the failure rates are highly depending on the number of bids, the degree of bid, and the number of available resources. In this paper, we present how checkpointing can be used to reduce the cost and volatility of resource provisioning. Based on the real, recent price history of the spot instances we show the performance of the checkpointing schemes including the proposed one in terms of monetary cost and completion time of tasks.
机译：随着云计算最近的出现，作为实用程序的计算的愿景已达到新的高度。资源价格现在可以根据当前需求和供应动态变化。 2009年12月，亚马逊发布了现货实例，销售了其数据中心的备用能力。使用类似拍卖的竞标系统销售此备用容量。根据当前实例价格是否高于或低于用户的出价价格，分配或终止实例。虽然定价和可靠性可以显着且动态地变化，但当前的中间件有很少的机制，可有效处理成本可靠性的权衡。此外，故障率高度取决于出价的数量，出价度和可用资源的数量。在本文中，我们介绍了检验点如何用于降低资源供应的成本和波动性。基于现场实例的最新价格历史，我们展示了在货币成本和完成任务的完成时间方面的检查点方案的表现。

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