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Sustainable Massive Data Dissemination by Using Software Defined Connectivity Approach
Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland, New Zealand..
Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland, New Zealand..
Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland, New Zealand..
Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland, New Zealand..
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2017 (English)In: 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 454-459Conference paper, Published paper (Refereed)
Abstract [en]

The traditional world has transformed into a digital society where almost anything can be accessed from anywhere. However, this digital society is responsible for an explosive growth of high-volume, high-velocity and high-variety information assets, with high demand for "Big Data". A Software Defined Connectivity (SDC) is an emerging paradigm, which promises to simplify network management, to provide the flexibility to program the network through centralized network control by providing new abstractions in networking with all real objects for reliable and energy efficient data transmission. In a SDC architecture, the connectivity controller decides the forwarding rules as per the demands and objectives of users when transmitting information to the intended destination through either internet or existing transport infrastructure. The key idea is to have flexibility in the network to utilize existing transport infrastructure to shift traffic from the internet towards public bus services as per the current users requirements. The numerical studies reported in this paper confirm that this new opportunity helps to achieve efficient resource utilization and high performance with significant savings of energy.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 454-459
Keywords [en]
Software Defined Connectivity (SDC), Energy Consumption, Public Transport, Cyber-Physical System(CPS)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-225774DOI: 10.1109/ATNAC.2017.8215404ISI: 000427574400078Scopus ID: 2-s2.0-85046630062ISBN: 9781509067961 (print)OAI: oai:DiVA.org:kth-225774DiVA, id: diva2:1196435
Conference
27th International Telecommunication Networks and Applications Conference, ITNAC 2017; Rendezvous Hotel, Melbourne; Australia; 22 November 2017 through 24 November 2017
Note

QC 20180410

Available from: 2018-04-10 Created: 2018-04-10 Last updated: 2018-06-01Bibliographically approved

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Furdek, Marija

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