A Method for Solving the Performance Isolation Problem in PaaS Based on Forecast and Dynamic Programming

Jiayang Yu, R. Rao
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引用次数: 2

Abstract

As a Platform as a Service (PaaS) designer, we should satisfy customers' demands of resources and to save resources in a cloud at the same time. In PaaS, one of the main problems is that if one of virtual machines' (VM) workload increases fast in a host, other VMs' performance characteristics may be influenced negatively. To solve the performance isolation problem, this paper gives a method. In this method, we use an algorithm to forecast all VMs' resources usage at first. Then we find which VMs' workloads may increase fast in future. We move these VMs to hosts which have more resources and other VMs' performance characteristics will not be affected at the same time. So the main problem now is which hosts we should use to move these VMs as mentioned above to. In this paper, we use Dynamic Programming method to solve this problem. So, with all of these algorithms, in this paper, we propose a strategy to solve Performance Isolation problem in PaaS.
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基于预测和动态规划的PaaS中性能隔离问题的解决方法
作为平台即服务(PaaS)设计者,我们既要满足客户对资源的需求,同时又要节约云中的资源。在PaaS中,一个主要问题是,如果主机中某个虚拟机(VM)的工作负载快速增加,则可能会对其他虚拟机的性能特征产生负面影响。为了解决性能隔离问题,本文给出了一种方法。在该方法中,我们首先使用一种算法来预测所有虚拟机的资源使用情况。然后我们发现哪些虚拟机的工作负载在未来可能会快速增长。我们将这些虚拟机迁移到资源更丰富的主机上,同时不会影响其他虚拟机的性能特性。所以现在的主要问题是我们应该使用哪台主机来移动上面提到的这些虚拟机。本文采用动态规划方法来解决这一问题。因此,在本文中,我们提出了一种解决PaaS中性能隔离问题的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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