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[Advances in Intelligent Systems and Computing] Image Processing and Communications Challenges 10 Volume 892 (10th International Conference, IP&C’2018 Bydgoszcz, Poland, November 2018, Proceedings) || Interference-Aware Virtual Machine Placement: A Survey

DOI:10.1007/978-3-030-03658-4_28 出版年份:2019 更新时间:2025-09-09 09:28:46
摘要: In order to maintain energy e?ciency and optimize resource utilization in cloud datacenters, cloud providers adopt virtualization technologies as well as server consolidation. Virtualization is the means used to achieve multi-tenant environments by creating many virtual machines (VMs) on the same physical machine (PM) in a way that they share same physical resources (e.g. CPU, disk, memory, network I/O, etc.). Server consolidation consists of placing as much as possible VMs on as less as possible PMs, in the aim of maximizing idle servers and then minimize the energy consumption. However, this vision of server consolidation is not as simple as it seems to be. Hence, it is crucial to be aware of its emerging concerns, such as severe performance degradation problem when placing particular VMs on the same PM. Furthermore, the Virtual Machine Placement (VMP) is one of the most challenging problems in cloud environments management and it’s been studied from various perspectives. In this paper, we are going to propose a VMP taxonomy in order to understand the various aspects that researchers consider while de?ning their VMP approaches. We will also survey the most relevant interference-aware virtual machine placement literature and then we shall give a comparative study between them.
作者: Sabrine Amri,Zaki Brahmi,Roc′?o P′erez de Prado,Sebastian Garc′?a-Gal′an,Jose Enrique Mu?noz-Exp′osito,Adam Marchewka
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To propose a taxonomy for Virtual Machine Placement (VMP) approaches and survey the most relevant interference-aware VMP literature, providing a comparative study between them.

The paper concludes that while many works focus on the virtual machine interference problem and energy consumption minimization in cloud Data Centers, they often overlook the consideration of all levels of cloud computing environment. An efficient VMP solution must consider VM, PM, and application levels, as well as diverse resource-bound workloads and inter-VM communication.

The survey highlights that most VMP approaches do not consider all levels of cloud computing environment (VM, PM, and application levels) and diverse resource-bound workloads, which are crucial for defining an efficient VMP solution.

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