Content allocation in information-centric networks

Sung Yeon Kim; Jang Won Lee

doi:10.1109/ICOIN.2016.7427102

Content allocation in information-centric networks

Sung Yeon Kim, Jang Won Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The information-centric network (ICN) is a new paradigm shift from the traditional IP-based network architecture. In the ICN architecture, any node can have a storage capacity to store contents. Hence, the content allocation algorithm has been actively studied. However, many researches have proposed heuristic content allocation algorithms without considering the system-wise performance. In this paper, we study a content allocation algorithm to minimize the sum of the average end-to-end service times of client nodes. Numerical results show that the proposed content allocation algorithm significantly decreases the sum of the average end-to-end service times of client nodes.

Original language	English
Title of host publication	30th International Conference on Information Networking, ICOIN 2016
Publisher	IEEE Computer Society
Pages	135-140
Number of pages	6
ISBN (Electronic)	9781509017249
DOIs	https://doi.org/10.1109/ICOIN.2016.7427102
Publication status	Published - 2016 Mar 7
Event	30th International Conference on Information Networking, ICOIN 2016 - Kota Kinabalu, Malaysia Duration: 2016 Jan 13 → 2016 Jan 15

Publication series

Name	International Conference on Information Networking
Volume	2016-March
ISSN (Print)	1976-7684

Other

Other	30th International Conference on Information Networking, ICOIN 2016
Country/Territory	Malaysia
City	Kota Kinabalu
Period	16/1/13 → 16/1/15

Bibliographical note

Funding Information:
The work was supported in part by Mid-career Researcher Program through NRF grant funded by the MSIP, Korea (2013R1A2A2A01069053).

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICOIN.2016.7427102

Cite this

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title = "Content allocation in information-centric networks",

abstract = "The information-centric network (ICN) is a new paradigm shift from the traditional IP-based network architecture. In the ICN architecture, any node can have a storage capacity to store contents. Hence, the content allocation algorithm has been actively studied. However, many researches have proposed heuristic content allocation algorithms without considering the system-wise performance. In this paper, we study a content allocation algorithm to minimize the sum of the average end-to-end service times of client nodes. Numerical results show that the proposed content allocation algorithm significantly decreases the sum of the average end-to-end service times of client nodes.",

author = "Kim, {Sung Yeon} and Lee, {Jang Won}",

note = "Funding Information: The work was supported in part by Mid-career Researcher Program through NRF grant funded by the MSIP, Korea (2013R1A2A2A01069053). Publisher Copyright: {\textcopyright} 2016 IEEE.; 30th International Conference on Information Networking, ICOIN 2016 ; Conference date: 13-01-2016 Through 15-01-2016",

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doi = "10.1109/ICOIN.2016.7427102",

language = "English",

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Kim, SY & Lee, JW 2016, Content allocation in information-centric networks. in 30th International Conference on Information Networking, ICOIN 2016., 7427102, International Conference on Information Networking, vol. 2016-March, IEEE Computer Society, pp. 135-140, 30th International Conference on Information Networking, ICOIN 2016, Kota Kinabalu, Malaysia, 16/1/13. https://doi.org/10.1109/ICOIN.2016.7427102

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N2 - The information-centric network (ICN) is a new paradigm shift from the traditional IP-based network architecture. In the ICN architecture, any node can have a storage capacity to store contents. Hence, the content allocation algorithm has been actively studied. However, many researches have proposed heuristic content allocation algorithms without considering the system-wise performance. In this paper, we study a content allocation algorithm to minimize the sum of the average end-to-end service times of client nodes. Numerical results show that the proposed content allocation algorithm significantly decreases the sum of the average end-to-end service times of client nodes.

AB - The information-centric network (ICN) is a new paradigm shift from the traditional IP-based network architecture. In the ICN architecture, any node can have a storage capacity to store contents. Hence, the content allocation algorithm has been actively studied. However, many researches have proposed heuristic content allocation algorithms without considering the system-wise performance. In this paper, we study a content allocation algorithm to minimize the sum of the average end-to-end service times of client nodes. Numerical results show that the proposed content allocation algorithm significantly decreases the sum of the average end-to-end service times of client nodes.

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Content allocation in information-centric networks

Abstract

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