Containers Placement and Migration on Cloud System

TL;DR

This paper explores container placement and migration strategies in cloud systems to reduce energy consumption and improve QoS, demonstrating that container migration can outperform VM migration in efficiency and SLA adherence.

Contribution

It introduces new algorithms for container placement and migration that consider QoS and energy efficiency, specifically comparing container and VM migration impacts.

Findings

Container migration reduces power consumption compared to VM migration.

Migration time is shorter with containers, improving QoS.

Proposed algorithms effectively minimize energy use and SLA violations.

Abstract

Currently, many businesses are using cloud computing to obtain an entire IT infrastructure remotely while delegating its management to a third party. The provider of this architecture ensures the operation and maintenance of the services while offering management capabilities via web consoles.These providers offer solutions based on bare metal or virtualization platforms (mainly virtual machines). Recently, a new type of virtualization-based on containerization technology has emerged. Containers can be deployed on bare metal servers or in virtual machines. The migration of virtual machines (VMs) and Containers in Dynamic Resource Management (DRM) is a crucial factor in minimizing the operating costs of data centers by reducing their energy consumption and subsequently limiting their impact on climate change.In this article, live migration for both types of virtualization will be studied. for that, container placement and migration algorithms are proposed, which takes into account the QoS requirements of different users in order to minimize energy consumption. Thus, a dynamic approach is suggested based on a threshold of RAM usage for host and virtual machines in the data center to avoid unnecessary power consumption. In this paper, the proposed work is compared with VM/Container placement and migration methods, the results of the experiment indicate that using container migration instead of VMs demonstrates a reduction in power consumption, and also reduces the migration time which impacts QoS and reduces SLA violation.