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Enhancing Reliability of Compute Environments on Amazon EC2 Spot Instances

机译:增强Amazon EC2竞价型实例上计算环境的可靠性

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Amazon Elastic Compute Cloud (EC2) gives access to resources in the form of virtual servers, also known as instances. EC2 Spot Instances (SIs) offer spare compute capacity at steep discounts compared to reliable and fixed price on-demand instances. The drawback, however, is that waiting time until requested spots become fulfilled can be incredible high. In this paper, we propose a container migration-based solution to enhance the reliability of virtual cluster computing environments built on top of non-reserved EC2 pricing model instances. We compare the performance of our algorithm by executing different resource provisioning plans for running real-life workflow applications, constrained by user-defined deadline and budget Quality of Service (QoS) parameters. The results show that our solution is able to successfully conclude almost 98% of workflow applications and more than 99% of workflow tasks for on-demand- and spot block-based virtual compute environments. For SI-based virtual compute environments, our solution achieves similar results, completing more than 98% of workflow applications, and over 99% of workflow tasks, for a worse-case scenario.
机译:Amazon Elastic Compute Cloud(EC2)以虚拟服务器(也称为实例)的形式提供对资源的访问。与可靠和固定价格的按需实例相比,EC2竞价型实例(SI)可以提供大量折扣的备用计算能力。但是,缺点是,直到满足请求的地点为止的等待时间可能非常长。在本文中,我们提出了一种基于容器迁移的解决方案,以增强基于非保留EC2定价模型实例构建的虚拟集群计算环境的可靠性。我们通过执行不同的资源配置计划来运行实际的工作流应用程序,并受用户定义的期限和预算的服务质量(QoS)参数的约束,比较算法的性能。结果表明,对于基于按需和基于现货的虚拟计算环境,我们的解决方案能够成功完成近98%的工作流应用程序和超过99%的工作流任务。对于基于SI的虚拟计算环境,在更坏的情况下,我们的解决方案可实现类似的结果,完成了98%以上的工作流应用程序和99%以上的工作流任务。

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