Policy-Based Management for Green Mobile Networks Through Software-Defined Networking

Traditional networks are characterized by wasting considerable amount of energy that could be reduced drastically. The challenge of energy saving should be managed efficiently, where the mobility of users and services are nominated to play a significant role as well as the use of the Software Define...

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Bibliographic Details
Published in:Mobile networks and applications 2019-04, Vol.24 (2), p.657-666
Main Authors: Huertas Celdrán, Alberto, Gil Pérez, Manuel, García Clemente, Félix J., Martínez Pérez, Gregorio
Format: Article
Language:English
Subjects:
Communications Engineering
Communications traffic
Computer Communication Networks
Electrical Engineering
Energy conservation
Energy consumption
Energy management
Energy policy
Engineering
Infrastructure
IT in Business
Networks
Run time (computers)
Software-defined networking
Switching theory
Wireless networks
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Summary:Traditional networks are characterized by wasting considerable amount of energy that could be reduced drastically. The challenge of energy saving should be managed efficiently, where the mobility of users and services are nominated to play a significant role as well as the use of the Software Defined Networking (SDN) paradigm. Besides the network management supported by the SDN paradigm, we highlight the management of the network infrastructure at run-time, considering aspects like the energy efficiency. In this paper, we present an energy-aware and policy-based system oriented to the SDN paradigm, which allows managing the network infrastructure dynamically at run-time and on demand through policies. With these policies, any network using our solution will be able to reduce energy consumption by switching on/off its resources when they are inefficient, and creating virtualized network resources like proxies to reduce the network traffic. The experiments conducted demonstrate how the energy consumption is reduced when enforcing the proposed policies, considering aspects such as the number of base stations, their cell sizes, and the number of active devices in a given time, among other.
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-016-0783-8