Virtual Machine Placement Literature Review
Fabio Lopez-Pires, Benjamin Baran

TL;DR
This paper provides a comprehensive review of Virtual Machine Placement (VMP) literature in cloud data centers, highlighting key research areas, challenges, and opportunities for future work in optimizing energy, SLA, QoS, and ecological impact.
Contribution
It offers an extensive, up-to-date survey of VMP research, identifying gaps and future research directions in cloud infrastructure management.
Findings
VMP covers diverse optimization criteria like energy efficiency and SLA.
Research in VMP addresses ecological and economic impacts.
The review highlights emerging trends and open challenges in VMP.
Abstract
Cloud Computing Datacenters host millions of virtual machines (VMs) on real world scenarios. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering also the large number of possible optimization criteria and different formulations that could be studied. VMP literature include relevant topics such as energy-efficiency, Service Level Agreements (SLA), cloud service markets, Quality of Service (QoS) and carbon dioxide emissions, all of them with high economical and ecological impact. This work presents an extensive up-to-date review of the most relevant VMP literature in order to identify research opportunities.
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Taxonomy
TopicsCloud Computing and Resource Management · Distributed and Parallel Computing Systems · Software System Performance and Reliability
