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An Online Placement Mechanism for Efficient Delivery of User Generated Content

Safavi, Mohammadhassan LU ; Bastani, Saeed LU and Landfeldt, Björn LU (2017) IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD) In IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Content delivery, User Generated Content, Power efficiency
in
IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017
pages
7 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD)
external identifiers
  • scopus:85032177515
ISSN
2378-4873
ISBN
978-1-5090-6302-4
DOI
10.1109/CAMAD.2017.8031624
language
English
LU publication?
yes
id
923d0b62-42bc-42b1-a2ba-3124d1bc797b
date added to LUP
2017-04-24 22:31:50
date last changed
2018-03-12 19:56:38
@inproceedings{923d0b62-42bc-42b1-a2ba-3124d1bc797b,
  abstract     = {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.},
  author       = {Safavi, Mohammadhassan and Bastani, Saeed and Landfeldt, Björn},
  booktitle    = {IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017 },
  isbn         = {978-1-5090-6302-4 },
  issn         = {2378-4873},
  keyword      = {Content delivery,User Generated Content,Power efficiency},
  language     = {eng},
  month        = {09},
  pages        = {7},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {An Online Placement Mechanism for Efficient Delivery of User Generated Content},
  url          = {http://dx.doi.org/10.1109/CAMAD.2017.8031624},
  year         = {2017},
}