Energy aware adaptive resource management model for software‐defined networking‐based service provider networks. Issue 2 (7th January 2021)

• Record Type: Journal Article
• Authors: Çelenlioğlu, Mahmud Rasih; Mantar, Haci Ali
• Is Part Of: IET networks. Volume 10:Issue 2(2021)
• Page Start: 88
• Page End: 100
• Publication Date: 2021-01-07
• Subjects: resource allocation -- telecommunication traffic -- software defined networking -- telecommunication power management -- energy conservation -- computer network management; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/ntw2.12006
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract: Service provider networks (SPNs) seek to implement the resource management mechanisms called load balancing and energy saving to satisfy today's networking demands. Software‐defined networking (SDN) allows SPNs to perform agile and efficient networking operations. It is still an open issue on how to implement these resource management mechanisms in SDN‐based SPNs. An energy‐aware adaptive resource management model (ERM) for SDN‐based SPNs is proposed. Load balancing aims to distribute overall network traffic volume as fairly as possible among available links. Energy‐saving aims to turn off as many network devices and links as possible. Unlike the works in the literature, our model utilises the trade‐off between load balancing and energy efficiency. To do so, the controller establishes paths among edge pairs. The controller aggregates traffic load between edge pairs to as few links as possible based on a predefined load level. Then, unused network elements switch to sleep mode. In the case of load balancing, the controller distributes traffic load among active network resources. Experimental results show that ERM can successfully increase both energy‐saving and resource utilization even under heavy traffic loads.