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Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment

机译:自适应实时迁移,以提高虚拟机环境中的负载平衡

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Load balancing is one of the main challenges in a Virtual Machine (VM) Environment in order to ensure equal utilization of all the available resources while avoiding overloading a subset of machines, In this paper, we propose an efficient load balancing strategy based on VM live migration. Unlike previous work, our strategy records the history of mappings to inform future placement decisions. We also apply a workload-adaptive live migration algorithm in order to minimize VM downtime and improve the user experience. The evaluation shows that our load balancing technique is faster than previous approaches, thus reducing the decision generating latency by as much as 79%. Furthermore, the results also show that we provide minimal downtime. Compared with competitors, our proposed migration mechanism reduces the downtime by up to 73%.
机译:负载平衡是虚拟机(VM)环境中的主要挑战之一,以确保所有可用资源的相同利用率,同时在避免超载机器子集中,在本文中,我们提出了一种基于VM Live的有效负载平衡策略移民。与以前的工作不同,我们的战略记录了映射的历史,以告知未来的安置决策。我们还应用工作负载 - 自适应实时迁移算法,以最小化VM停机时间并提高用户体验。评估表明,我们的负载平衡技术比以前的方法更快,从而将决定产生延迟的决定高达79%。此外,结果还表明我们提供最小的停机时间。与竞争对手相比,我们提出的迁移机制将停机时间减少至73%。

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