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Learning-based content caching in collaborative edge networks

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Learning-based content caching in collaborative edge networks. / Sun, Zhenfeng; Guo, Weiqiang; Nakhai, Mohammad Reza; Dohler, Mischa.

2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9420003 (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021).

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Harvard

Sun, Z, Guo, W, Nakhai, MR & Dohler, M 2021, Learning-based content caching in collaborative edge networks. in 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021., 9420003, 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021, Nanjing, China, 29/03/2021. https://doi.org/10.1109/WCNCW49093.2021.9420003

APA

Sun, Z., Guo, W., Nakhai, M. R., & Dohler, M. (2021). Learning-based content caching in collaborative edge networks. In 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021 [9420003] (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNCW49093.2021.9420003

Vancouver

Sun Z, Guo W, Nakhai MR, Dohler M. Learning-based content caching in collaborative edge networks. In 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9420003. (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021). https://doi.org/10.1109/WCNCW49093.2021.9420003

Author

Sun, Zhenfeng ; Guo, Weiqiang ; Nakhai, Mohammad Reza ; Dohler, Mischa. / Learning-based content caching in collaborative edge networks. 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021).

Bibtex Download

@inbook{9f57966816ac4927afcc877244a13993,
title = "Learning-based content caching in collaborative edge networks",
abstract = "Wireless caching techniques are widely adopted in edge computing systems to improve the quality of services at the edge of the network. This paper studies the problem of online content caching and elimination without the in-advance knowledge of content popularity in a collaborative edge caching network, which consists of a set of edge nodes equipped with base stations and storage units. We aim to minimize the content providers' cost while ensuring the quality of service (QoS) in the long run under the uncertainties of requested content. To this end, we formulate the problem of minimizing the system cost consisting of cache cost, migration cost and QoS penalty cost. In order to address this problem, we propose an algorithm for Collaborative Edge Caching based on the Thompson Sampling (CEC-TS) technique to update the caching decisions via adaptive learning of the popularity of requested contents. Simulation results demonstrate that the proposed CEC-TS algorithm achieves lower content providers' and QoS penalty cost against baseline schemes, i.e., the cloud-only and the first-in first-out (FIFO), in the long run.",
keywords = "Collaborative edge network, Content caching, Thompson sampling",
author = "Zhenfeng Sun and Weiqiang Guo and Nakhai, {Mohammad Reza} and Mischa Dohler",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021 ; Conference date: 29-03-2021",
year = "2021",
month = mar,
day = "29",
doi = "10.1109/WCNCW49093.2021.9420003",
language = "English",
series = "2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Learning-based content caching in collaborative edge networks

AU - Sun, Zhenfeng

AU - Guo, Weiqiang

AU - Nakhai, Mohammad Reza

AU - Dohler, Mischa

N1 - Publisher Copyright: © 2021 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/3/29

Y1 - 2021/3/29

N2 - Wireless caching techniques are widely adopted in edge computing systems to improve the quality of services at the edge of the network. This paper studies the problem of online content caching and elimination without the in-advance knowledge of content popularity in a collaborative edge caching network, which consists of a set of edge nodes equipped with base stations and storage units. We aim to minimize the content providers' cost while ensuring the quality of service (QoS) in the long run under the uncertainties of requested content. To this end, we formulate the problem of minimizing the system cost consisting of cache cost, migration cost and QoS penalty cost. In order to address this problem, we propose an algorithm for Collaborative Edge Caching based on the Thompson Sampling (CEC-TS) technique to update the caching decisions via adaptive learning of the popularity of requested contents. Simulation results demonstrate that the proposed CEC-TS algorithm achieves lower content providers' and QoS penalty cost against baseline schemes, i.e., the cloud-only and the first-in first-out (FIFO), in the long run.

AB - Wireless caching techniques are widely adopted in edge computing systems to improve the quality of services at the edge of the network. This paper studies the problem of online content caching and elimination without the in-advance knowledge of content popularity in a collaborative edge caching network, which consists of a set of edge nodes equipped with base stations and storage units. We aim to minimize the content providers' cost while ensuring the quality of service (QoS) in the long run under the uncertainties of requested content. To this end, we formulate the problem of minimizing the system cost consisting of cache cost, migration cost and QoS penalty cost. In order to address this problem, we propose an algorithm for Collaborative Edge Caching based on the Thompson Sampling (CEC-TS) technique to update the caching decisions via adaptive learning of the popularity of requested contents. Simulation results demonstrate that the proposed CEC-TS algorithm achieves lower content providers' and QoS penalty cost against baseline schemes, i.e., the cloud-only and the first-in first-out (FIFO), in the long run.

KW - Collaborative edge network

KW - Content caching

KW - Thompson sampling

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U2 - 10.1109/WCNCW49093.2021.9420003

DO - 10.1109/WCNCW49093.2021.9420003

M3 - Conference paper

AN - SCOPUS:85106065587

T3 - 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021

BT - 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021

Y2 - 29 March 2021

ER -

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