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Scheduling Physical Machine Maintenance on Qualified Clouds: What if Migration is not Allowed?

机译:调度合格云上的物理机器维护:如果不允许迁移,则是什么?

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Increasingly, cloud systems host IT services for critical domains such as public health and electric power. Such cloud systems need to be qualified and validated in accordance with compliance policies or government regulations. Configurations of such qualified cloud systems, including VM placement and software deployment, are limited to a small set of configurations which passed the qualification and validation process. So, on practical qualified cloud systems, on-demand VM migration or replication is not allowed. We address the problem of optimally scheduling physical machine maintenance on qualified cloud systems where VM placement cannot change dynamically. Particularly, we try to minimize the number of maintenance waves, and hence, minimize the qualified cloud systems' exposure to loss of high availability. Moreover, we study how the initial placement of service component replicas can help optimize the maintenance schedule while minimize the hardware cost, which is much higher on qualified cloud systems than regular ones. Evaluations in simulations and our real-world qualified cloud system demonstrate the effectiveness of our algorithms and justify our algorithm selection in the real qualified system. In particular, our approach eliminated impacts on service workload and availability during maintenance, while simultaneously largely reduced maintenance time.
机译:越来越多的云系统为公共卫生和电力等关键域主持IT服务。这种云系统需要按照合规政策或政府法规进行合格和验证。此类合格云系统的配置包括VM放置和软件部署,仅限于通过资格和验证过程的一小一组配置。因此,在实际合格的云系统上,不允许按需按需VM迁移或复制。我们解决了在合格的云系统上最佳地调度物理机器维护的问题,其中VM放置不能动态地改变。特别是,我们尝试最小化维护波的数量,从而最大限度地减少合格的云系统的暴露对高可用性的损失。此外,我们研究了服务组件副本的初始放置如何有助于优化维护计划,同时最小化硬件成本,比常规云系统更高。仿真和我们的真实云系统的评估展示了我们算法的有效性,并证明了我们在真正的合格系统中的算法选择。特别是,我们的方法消除了对维护期间的服务工作量和可用性的影响,同时在很大程度上减少了维护时间。

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