Title :
Reducing power consumption in embedding virtual infrastructures
Author :
Bin Wang ; Xiaolin Chang ; Jiqiang Liu ; Muppala, Jogesh K.
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Abstract :
Network virtualization is considered to be not only an enabler to overcome the inflexibility of the current Internet infrastructure but also an enabler to achieve an energy-efficient Future Internet. Virtual network embedding (VNE) is a critical issue in network virtualization technology. This paper explores a joint power-aware node and link resource allocation approach to handle the VNE problem with the objective of minimizing energy consumption. We first present a generalized power consumption model of embedding a VN. Then we formulate the problem as a mixed integer program and propose embedding algorithms. Simulation results demonstrate that the proposed algorithms perform better than the existing algorithms in terms of the power consumption in the overprovisioned scenarios.
Keywords :
Internet; integer programming; power aware computing; resource allocation; virtualisation; VNE problem; energy consumption; energy-efficient Future Internet architecture; generalized power consumption model; joint power-aware node; link resource allocation approach; mixed integer programming; network virtualization technology; power consumption reduction; virtual infrastructures; virtual network embedding algorithms; Bandwidth; Energy consumption; Internet; Mathematical model; Power demand; Simulation; Substrates; Energy consumption; Network virtualization; Optimization; Resource allocation; Virtual network embedding;
Conference_Titel :
Globecom Workshops (GC Wkshps), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-4942-0
Electronic_ISBN :
978-1-4673-4940-6
DOI :
10.1109/GLOCOMW.2012.6477662