skip to main content
10.1145/3384419.3430457acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

An incentive mechanism design for resource collection in crowdsourced CDN: poster abstract

Authors Info & Claims
Published:16 November 2020Publication History

ABSTRACT

To meet the content delivery requirement of the sky-rocketing increase in video requests, crowdsourced content delivery network (crowdsourced CDN) provides a new promising paradigm for low-cost and low-latency video distribution. However, due to the low contribution of storage and upload bandwidth resources from edge network owners, the resources in crowdsourced CDN are always scare. So how to incentivize crowdsourced resource supply from edge network owners are the key in the crowdsourced CDN paradigm. In this paper, we propose an incentive mechanism to address the challenge. More specifically, a Stackelberg game is formulated to model the âĂIJbargainâĂİ interaction between owners and content provides (CPs). With the game, we propose a genetic algorithm to reach the equibibrium. Finally, trace-driven experiments show that effectiveness of our design.

References

  1. V. G Douros, S. E. Elayoubi, E. Altman, and Y. Hayel. 2017. Caching games between content providers and internet service providers. Performance Evaluation 113 (2017), 13--25.Google ScholarGoogle ScholarCross RefCross Ref
  2. Z. Fang, L. Huang, and A. Wierman. 2019. Prices and subsidies in the sharing economy. Performance Evaluation 136 (2019).Google ScholarGoogle Scholar
  3. G. Ma, Q. Huang, and W. Gu. 2020. Collaborative Edge-Network Content Replication: A Joint User Preference and Mobility Approach. In UbiComp-ISWC 2020. ACM, 560--567.Google ScholarGoogle Scholar
  4. G. Ma, Z. Wang, M. Chen, and W. Zhu. 2017. APRank: Joint mobility and preference-based mobile video prefetching. In IEEE International Conference on Multimedia and Expo. IEEE, 1--6.Google ScholarGoogle Scholar
  5. G. Ma, Z. Wang, J. Ye, and W. Zhu. 2018. Wireless Caching in Large-Scale Edge Access Points: A Local Distributed Approach. In MobiCom 2018. ACM, 726--728.Google ScholarGoogle Scholar
  6. G. Ma, Z. Wang, M. Zhang, J. Ye, M. Chen, and W. Zhu. 2017. Understanding Performance of Edge Content Caching for Mobile Video Streaming. IEEE JSAC 35, 5 (2017), 1076--1089.Google ScholarGoogle Scholar
  7. Akamai OTA. 2017. Akamai Unveils Strategy To Support Customers Adopting IoT. http://www.akamai.com. (2017). Accessed December 1, 2017.Google ScholarGoogle Scholar
  8. Z. Wang, W. Zhu, M. Chen, L. Sun, and S. Yang. 2015. CPCDN: Content delivery powered by context and user intelligence. IEEE Transactions on Multimedia 17, 1 (2015), 92--103.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. An incentive mechanism design for resource collection in crowdsourced CDN: poster abstract

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
      November 2020
      852 pages
      ISBN:9781450375900
      DOI:10.1145/3384419

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 November 2020

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

      Acceptance Rates

      Overall Acceptance Rate174of867submissions,20%
    • Article Metrics

      • Downloads (Last 12 months)10
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader