A Multi-Weight Strategy for Container Consolidation

Najet Hamdi, Walid Chainbi
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引用次数: 1

Abstract

Finding energy efficient management strategies while satisfying the Quality of Service (QoS) requirements is one of the critical challenges in Clouds. Virtual Machine consolidation has proved its efficiency in dealing with the energy issue in Cloud environments. Recently, containers are increasingly gaining popularity with regards to virtual machines (VMs) and going to be major deployment model especially at the edge of the network. Hence, it becomes critical to address energy efficiency from container’s point of view. Over the past few years, there have been several attempts for container consolidation heuristics. Unfortunately, most of the proposed strategies took container consolidation from VM’s point of view. In fact, they considered only one single deployment model in which containers are deployed on virtual machines. On the basis of such assumption, container consolidation is achieved through VMs consolidation. The fact stating that containers can be deployed as well in bare metal requires to take container consolidation from a different point of view. This paper focuses on container consolidation issue with regards to the bare metal deployment model and suggests a new consolidation strategy. The performance of our strategy is evaluated using the Docker Platform and is compared against two other consolidation strategies.
集装箱拼箱的多重量策略
在满足服务质量(QoS)需求的同时,找到节能的管理策略是云中的关键挑战之一。虚拟机整合已经证明了它在处理云环境中的能源问题方面的效率。最近,容器在虚拟机(vm)方面越来越受欢迎,并将成为主要的部署模型,特别是在网络边缘。因此,从集装箱的角度解决能源效率问题变得至关重要。在过去的几年中,对容器整合启发式进行了多次尝试。不幸的是,大多数建议的策略都是从VM的角度考虑容器整合的。事实上,他们只考虑了将容器部署在虚拟机上的单一部署模型。基于这样的假设,容器整合是通过vm整合实现的。容器也可以部署在裸机中,这一事实需要从不同的角度来看待容器整合。本文重点讨论了裸机部署模型中的容器整合问题,并提出了一种新的整合策略。我们的策略的性能是使用Docker平台进行评估的,并与其他两种整合策略进行比较。
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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