A Study of Virtual Machine Placement Optimization in Data Centers

Stéphanie Challita (1, 2) , Fawaz Paraiso (1, 2) , Philippe Merle (1, 2)

1 SPIRALS - Self-adaptation for distributed services and large software systems
2 Université de Lille, Sciences et Technologies

In recent years, cloud computing has shown a valuable way for accommodating and providing services over the Internet such that data centers rely increasingly on this platform to host a large amount of applications (web hosting, e-commerce, social networking, etc.). Thus, the utilization of servers in most data centers can be improved by adding virtualization and selecting the most suitable host for each Virtual Machine (VM). The problem of VM placement is an optimization problem aiming for multiple goals. It can be covered through various approaches. Each approach aims to simultaneously reduce power consumption, maximize resource utilization and avoid traffic congestion. The main goal of this literature survey is to provide a better understanding of existing approaches and algorithms that ensure better VM placement in the context of cloud computing and to identify future directions.

Mots clés: Data center; Cloud computing; VM placement; Traffic-aware; Energy-aware; Multi-objective optimization

Domaines: Informatique [cs]; Calcul parallèle, distribué et partagé [cs.DC]

Stéphanie Challita, Fawaz Paraiso, Philippe Merle. A Study of Virtual Machine Placement Optimization in Data Centers. 7th International Conference on Cloud Computing and Services Science (CLOSER), INSTICC, Apr 2017, Porto, Portugal. pp.343-350, ⟨10.5220/0006236503430350⟩. ⟨hal-01481631⟩