Energy aware adaptive resource management model for software‐defined networking‐based service provider networks
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 i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
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| Series: | IET Networks |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ntw2.12006 |
| _version_ | 1811291160576000000 |
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| author | Mahmud Rasih Çelenlioğlu Haci Ali Mantar |
| author_facet | Mahmud Rasih Çelenlioğlu Haci Ali Mantar |
| author_sort | Mahmud Rasih Çelenlioğlu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T04:24:23Z |
| format | Article |
| id | doaj.art-d373dac3f46b4bf5aaf15030f4bbfac2 |
| institution | Directory Open Access Journal |
| issn | 2047-4954 2047-4962 |
| language | English |
| last_indexed | 2024-04-13T04:24:23Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Networks |
| spelling | doaj.art-d373dac3f46b4bf5aaf15030f4bbfac22022-12-22T03:02:35ZengWileyIET Networks2047-49542047-49622021-03-011028810010.1049/ntw2.12006Energy aware adaptive resource management model for software‐defined networking‐based service provider networksMahmud Rasih Çelenlioğlu0Haci Ali Mantar1Department of Computer Engineering Gebze Technical University Kocaeli TurkeyDepartment of Computer Engineering Gebze Technical University Kocaeli TurkeyAbstract 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.https://doi.org/10.1049/ntw2.12006resource allocationtelecommunication trafficsoftware defined networkingtelecommunication power managementenergy conservationcomputer network management |
| spellingShingle | Mahmud Rasih Çelenlioğlu Haci Ali Mantar Energy aware adaptive resource management model for software‐defined networking‐based service provider networks IET Networks resource allocation telecommunication traffic software defined networking telecommunication power management energy conservation computer network management |
| title | Energy aware adaptive resource management model for software‐defined networking‐based service provider networks |
| title_full | Energy aware adaptive resource management model for software‐defined networking‐based service provider networks |
| title_fullStr | Energy aware adaptive resource management model for software‐defined networking‐based service provider networks |
| title_full_unstemmed | Energy aware adaptive resource management model for software‐defined networking‐based service provider networks |
| title_short | Energy aware adaptive resource management model for software‐defined networking‐based service provider networks |
| title_sort | energy aware adaptive resource management model for software defined networking based service provider networks |
| topic | resource allocation telecommunication traffic software defined networking telecommunication power management energy conservation computer network management |
| url | https://doi.org/10.1049/ntw2.12006 |
| work_keys_str_mv | AT mahmudrasihcelenlioglu energyawareadaptiveresourcemanagementmodelforsoftwaredefinednetworkingbasedserviceprovidernetworks AT hacialimantar energyawareadaptiveresourcemanagementmodelforsoftwaredefinednetworkingbasedserviceprovidernetworks |