Contract theory based caching and pricing strategy for content centric networks

Chen Li; Jintian Li; Zhou Su; Qichao Xu

doi:10.23919/ITU-WT.2017.8247000

Contract theory based caching and pricing strategy for content centric networks

Chen Li
, Jintian Li
, Zhou Su
, Qichao Xu

Shanghai University

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

3 Scopus citations

Abstract

Content centric networks (CCNs) have emerged to deliver a large amount of contents in the networks. However, it has become a new challenge to efficiently cache the contents in the CCNs. Therefore, in this paper, we design a contract theory based content caching scheme to improve the performance of CCNs. Firstly, a two-layer heterogeneous network model is introduced to study the interaction between users and content providers. Secondly, based on the contract theory, the optimal caching and pricing strategy can be obtained under two constraints in CCNs. Finally, simulation experiments are carried out to prove that our proposal can efficiently improve the cache performance of CCNs.

Original language	English
Title of host publication	Proceedings of the 2017 ITU Kaleidoscope Academic Conference
Subtitle of host publication	Challenges for a Data-Driven Society, ITU K 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9789261242916
DOIs	https://doi.org/10.23919/ITU-WT.2017.8247000
State	Published - 28 Jun 2017
Externally published	Yes
Event	9th ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017 - Nanjing, China Duration: 27 Nov 2017 → 29 Nov 2017

Publication series

Name	Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017
Volume	2018-January

Conference

Conference	9th ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017
Country/Territory	China
City	Nanjing
Period	27/11/17 → 29/11/17

Keywords

Content centric networks
contract theory
edge cache

Access to Document

10.23919/ITU-WT.2017.8247000

Cite this

Li, C., Li, J., Su, Z., & Xu, Q. (2017). Contract theory based caching and pricing strategy for content centric networks. In Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017 (pp. 1-5). (Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ITU-WT.2017.8247000

Li, Chen ; Li, Jintian ; Su, Zhou et al. / Contract theory based caching and pricing strategy for content centric networks. Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-5 (Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017).

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title = "Contract theory based caching and pricing strategy for content centric networks",

abstract = "Content centric networks (CCNs) have emerged to deliver a large amount of contents in the networks. However, it has become a new challenge to efficiently cache the contents in the CCNs. Therefore, in this paper, we design a contract theory based content caching scheme to improve the performance of CCNs. Firstly, a two-layer heterogeneous network model is introduced to study the interaction between users and content providers. Secondly, based on the contract theory, the optimal caching and pricing strategy can be obtained under two constraints in CCNs. Finally, simulation experiments are carried out to prove that our proposal can efficiently improve the cache performance of CCNs.",

keywords = "Content centric networks, contract theory, edge cache",

author = "Chen Li and Jintian Li and Zhou Su and Qichao Xu",

note = "Publisher Copyright: {\textcopyright} 2017 ITU.; 9th ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017 ; Conference date: 27-11-2017 Through 29-11-2017",

year = "2017",

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doi = "10.23919/ITU-WT.2017.8247000",

language = "英语",

series = "Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of the 2017 ITU Kaleidoscope Academic Conference",

}

Li, C, Li, J, Su, Z & Xu, Q 2017, Contract theory based caching and pricing strategy for content centric networks. in Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017. Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 9th ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017, Nanjing, China, 27/11/17. https://doi.org/10.23919/ITU-WT.2017.8247000

Contract theory based caching and pricing strategy for content centric networks. / Li, Chen; Li, Jintian; Su, Zhou et al.
Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017; Vol. 2018-January).

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

TY - GEN

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AU - Li, Chen

AU - Li, Jintian

AU - Su, Zhou

AU - Xu, Qichao

PY - 2017/6/28

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N2 - Content centric networks (CCNs) have emerged to deliver a large amount of contents in the networks. However, it has become a new challenge to efficiently cache the contents in the CCNs. Therefore, in this paper, we design a contract theory based content caching scheme to improve the performance of CCNs. Firstly, a two-layer heterogeneous network model is introduced to study the interaction between users and content providers. Secondly, based on the contract theory, the optimal caching and pricing strategy can be obtained under two constraints in CCNs. Finally, simulation experiments are carried out to prove that our proposal can efficiently improve the cache performance of CCNs.

AB - Content centric networks (CCNs) have emerged to deliver a large amount of contents in the networks. However, it has become a new challenge to efficiently cache the contents in the CCNs. Therefore, in this paper, we design a contract theory based content caching scheme to improve the performance of CCNs. Firstly, a two-layer heterogeneous network model is introduced to study the interaction between users and content providers. Secondly, based on the contract theory, the optimal caching and pricing strategy can be obtained under two constraints in CCNs. Finally, simulation experiments are carried out to prove that our proposal can efficiently improve the cache performance of CCNs.

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KW - contract theory

KW - edge cache

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DO - 10.23919/ITU-WT.2017.8247000

M3 - 会议稿件

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BT - Proceedings of the 2017 ITU Kaleidoscope Academic Conference

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Li C, Li J, Su Z, Xu Q. Contract theory based caching and pricing strategy for content centric networks. In Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-5. (Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017). doi: 10.23919/ITU-WT.2017.8247000

Contract theory based caching and pricing strategy for content centric networks

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