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Elastic Reliability Optimization Through Peer-to-Peer Checkpointing in Cloud Computing

机译:云计算中通过对等检查点的弹性可靠性优化

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Modern day data centers coordinate hundreds of thousands of heterogeneous tasks and aim at delivering highly reliable cloud computing services. Although offering equal reliability to all users benefits everyone at the same time, users may find such an approach either inadequate or too expensive to fit their individual requirements, which may vary dramatically. In this paper, we propose a novel method for providing elastic reliability optimization in cloud computing. Our scheme makes use of peer-to-peer checkpointing and allows user reliability levels to be jointly optimized based on an assessment of their individual requirements and total available resources in the data center. We show that the joint optimization can be efficiently solved by a distributed algorithm using dual decomposition. The solution improves resource utilization and presents an additional source of revenue to data center operators. Our validation results suggest a significant improvement of reliability over existing schemes.
机译:现代数据中心协调数十万种异构任务,旨在提供高度可靠的云计算服务。尽管为所有用户提供相同的可靠性同时使每个人受益,但用户可能会发现这种方法不足或太昂贵而无法满足他们的个性化需求,这可能会发生很大的变化。在本文中,我们提出了一种在云计算中提供弹性可靠性优化的新方法。我们的方案利用对等检查点,并基于对他们的个人需求和数据中心中总可用资源的评估,共同优化用户的可靠性水平。我们表明联合优化可以通过使用对偶分解的分布式算法有效地解决。该解决方案提高了资源利用率,并为数据中心运营商带来了额外的收入来源。我们的验证结果表明,与现有方案相比,可靠性有了显着提高。

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