Offline and online power aware resource allocation algorithms with migration and delay constraints

In order to handle advanced mobile broadband services and Internet of Things (IoT), future Internet and 5G networks are expected to leverage the use of network virtualization, be much faster, have greater capacities, provide lower latencies, and significantly be power efficient than current mobile t...

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Published in:	Computer networks (Amsterdam, Netherlands : 1999) Vol. 158; pp. 17 - 34
Main Authors:	Hejja, Khaled, Hesselbach, Xavier
Format:	Journal Article Publication
Language:	English
Published:	Amsterdam Elsevier B.V 20.07.2019 Elsevier Sequoia S.A
Subjects:	5G delay Algorithms Broadband Broadband communication systems Computer simulation Comunicacions mòbils Comunicacions mòbils, Sistemes de Delay Enginyeria de la telecomunicació Experiments Internal migration Internet Internet de les coses Internet of Things Migration Migrations Mobile communication systems Mobile computing Networks NFV resource allocation Offline Online Power Power consumption Radiocomunicació i exploració electromagnètica Resource allocation Rule ordering Telemàtica i xarxes d'ordinadors Virtual networks Virtualization Àrees temàtiques de la UPC 5G delay Power consumption Migrations Offline NFV resource allocation Online Virtualization
ISSN:	1389-1286, 1872-7069
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Abstract	In order to handle advanced mobile broadband services and Internet of Things (IoT), future Internet and 5G networks are expected to leverage the use of network virtualization, be much faster, have greater capacities, provide lower latencies, and significantly be power efficient than current mobile technologies. Therefore, this paper proposes three power aware algorithms for offline, online, and migration applications, solving the resource allocation problem within the frameworks of network function virtualization (NFV) environments in fractions of a second. The proposed algorithms target minimizing the total costs and power consumptions in the physical network through sufficiently allocating the least physical resources to host the demands of the virtual network services, and put into saving mode all other not utilized physical components. Simulations and evaluations of the offline algorithm compared to the state-of-art resulted on lower total costs by 32%. In addition to that, the online algorithm was tested through four different experiments, and the results argued that the overall power consumption of the physical network was highly dependent on the demands’ lifetimes, and the strictness of the required end-to-end delay. Regarding migrations during online, the results concluded that the proposed algorithms would be most effective when applied for maintenance and emergency conditions.
AbstractList	In order to handle advanced mobile broadband services and Internet of Things (IoT), future Internet and 5G networks are expected to leverage the use of network virtualization, be much faster, have greater capacities, provide lower latencies, and significantly be power efficient than current mobile technologies. Therefore, this paper proposes three power aware algorithms for offline, online, and migration applications, solving the resource allocation problem within the frameworks of network function virtualization (NFV) environments in fractions of a second. The proposed algorithms target minimizing the total costs and power consumptions in the physical network through sufficiently allocating the least physical resources to host the demands of the virtual network services, and put into saving mode all other not utilized physical components. Simulations and evaluations of the offline algorithm compared to the state-of-art resulted on lower total costs by 32%. In addition to that, the online algorithm was tested through four different experiments, and the results argued that the overall power consumption of the physical network was highly dependent on the demands' lifetimes, and the strictness of the required end-to-end delay. Regarding migrations during online, the results concluded that the proposed algorithms would be most effective when applied for maintenance and emergency conditions. © . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ In order to handle advanced mobile broadband services and Internet of Things (IoT), future Internet and 5G networks are expected to leverage the use of network virtualization, be much faster, have greater capacities, provide lower latencies, and significantly be power efficient than current mobile technologies. Therefore, this paper proposes three power aware algorithms for offline, online, and migration applications, solving the resource allocation problem within the frameworks of network function virtualization (NFV) environments in fractions of a second. The proposed algorithms target minimizing the total costs and power consumptions in the physical network through sufficiently allocating the least physical resources to host the demands of the virtual network services, and put into saving mode all other not utilized physical components. Simulations and evaluations of the offline algorithm compared to the state-of-art resulted on lower total costs by 32%. In addition to that, the online algorithm was tested through four different experiments, and the results argued that the overall power consumption of the physical network was highly dependent on the demands’ lifetimes, and the strictness of the required end-to-end delay. Regarding migrations during online, the results concluded that the proposed algorithms would be most effective when applied for maintenance and emergency conditions. Peer Reviewed
Author	Hejja, Khaled Hesselbach, Xavier
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Snippet	In order to handle advanced mobile broadband services and Internet of Things (IoT), future Internet and 5G networks are expected to leverage the use of network... © . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ In order to handle advanced...
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SubjectTerms	5G delay Algorithms Broadband Broadband communication systems Computer simulation Comunicacions mòbils Comunicacions mòbils, Sistemes de Delay Enginyeria de la telecomunicació Experiments Internal migration Internet Internet de les coses Internet of Things Migration Migrations Mobile communication systems Mobile computing Networks NFV resource allocation Offline Online Power Power consumption Radiocomunicació i exploració electromagnètica Resource allocation Rule ordering Telemàtica i xarxes d'ordinadors Virtual networks Virtualization Àrees temàtiques de la UPC
Title	Offline and online power aware resource allocation algorithms with migration and delay constraints
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