An Online Placement Mechanism for Efficient Delivery of User Generated Content

Mohammadhassan Safavi, Saeed Bastani, Björn Landfeldt

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1 Citering (SciVal)

Sammanfattning

User Generated Content (UGC) is projected to make up a significant part of the total Internet traffic in the future. As such, it will significantly contribute to the total cost for Internet traffic worldwide. Arguably, UGC is a suitable content type for which the Internet Service Providers (ISPs) can take initiative and enter the content delivery market. However, despite its significance, UGC content management has attracted very little research attention, and the existing works stop short of developing placement and delivery solutions for UGC. Hence, we are motivated to address this content type, and exploit its properties to support ISPs in making optimal placement decisions. Specifically, we leverage the inherent tie between UGC and social networking context, take into consideration the persistence limitation of UGC (in contrast to commercial content), and derive model with the objective to minimize power usage. Also, derived from the problem formulation, we propose an online algorithm which enables each ISP to individually decide which contents should be placed and served locally. We provide simulation results showing that the proposed algorithm performs close to optimal in terms of power used for content delivery.
Originalspråkengelska
Titel på värdpublikationIEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Antal sidor7
ISBN (elektroniskt)978-1-5090-6302-4
DOI
StatusPublished - 2017 sep. 14
EvenemangIEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD) - Lund, Sverige
Varaktighet: 2017 juni 192017 juni 21

Publikationsserier

NamnIEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Namn
FörlagIEEE
ISSN (elektroniskt)2378-4873

Konferens

KonferensIEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD)
Land/TerritoriumSverige
OrtLund
Period2017/06/192017/06/21

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