@inproceedings{dac1c8f2ec634c73a3e255b23a6258d9,
title = "Energy Efficient Algorithm for VNF Placement and Chaining",
abstract = "This paper addresses energy efficient VNF placement and chaining over NFV enabled infrastructures. VNF placement and chaining are formulated as a decision tree search to overcome this NP-Hard problem complexity. The proposed approach is an extension of the Monte Carlo Tree Search(MCTS) method to achieve energy savings using physical resourceconsolidation and sharing VNFs between multiple tenants. A realcloud testbed and extensive simulations are used to assessperformance and ability to scale with problem size. Evaluationresults show significant reduction in energy consumption of theproposed placement solution compared to related work. The polynomialcomplexity of our proposal is highlighted by the simulation results.",
keywords = "Decision tree search, Energy efficiency, Green, MCTS, SFC, VNF placement and chaining",
author = "Oussama Soualah and Marouen Mechtri and Chaima Ghribi and Djamal Zeghlache",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 ; Conference date: 14-05-2017 Through 17-05-2017",
year = "2017",
month = jul,
day = "10",
doi = "10.1109/CCGRID.2017.84",
language = "English",
series = "Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "579--588",
booktitle = "Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017",
}
