Cache-Assisted Content Delivery in Wireless Networks: A New Game Theoretic Model

被引:13
作者
Fang, Chao [1 ,2 ]
Liu, Changtong [1 ]
Wang, Zhuwei [1 ]
Sun, Yang [1 ]
Ni, Wei [3 ]
Li, Peng [4 ]
Guo, Song [5 ]
机构
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100081, Peoples R China
[2] Purple Mt Lab Networking Commun & Secur, Nanjing 210096, Peoples R China
[3] CSIRO, Data61, Marsfield, NSW 2122, Australia
[4] Univ Aizu, Sch Comp Sci & Engn, Aizu Wakamatsu 9658580, Japan
[5] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2021年 / 15卷 / 02期
基金
中国国家自然科学基金;
关键词
Games; Bandwidth; Economics; Servers; Internet; Pricing; Noise measurement; Content delivery; content popularity; edge cache; Internet service provider-content provider (ISP-CP) cooperation; Stackelberg game; CONTENT-CENTRIC NETWORKS; ALLOCATION;
D O I
10.1109/JSYST.2020.3001229
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid increase of mobile data traffic, efficient content delivery in wireless networks is increasingly important to provide broadcast and multicast services. To reduce network cost and enrich end-user quality of experience, Internet service providers (ISPs) and content providers (CPs) are expected to collaborate to improve content delivery services. However, the influence of content popularity has been generally overlooked, and profit split problem between ISPs and CPs has not been studied. We investigate the novel economic behaviors between ISPs and CPs in the presence of edge caches, and formulate the profit split problem as a centralized model, which can achieve optimal content caching and maximal network benefits. A Stackelberg game is designed to obtain its distributed win-win solution, where a feasible backward induction is proposed and the influence of edge caches and content popularity is analyzed. Simulation results show that the performance of our proposed Stackelberg game model is comparable to the centralized alternative and much better than existing ISP-CP cooperative schemes not considering cache deployment in the network.
引用
收藏
页码:2653 / 2664
页数:12
相关论文
共 57 条
[1]  
Abrahamsson H., 2012, THESIS SICS KISTA
[2]   A Survey of Information-Centric Networking [J].
Ahlgren, Bengt ;
Dannewitz, Christian ;
Imbrenda, Claudio ;
Kutscher, Dirk ;
Ohlman, Boerje .
IEEE COMMUNICATIONS MAGAZINE, 2012, 50 (07) :26-36
[3]   A survey on networking games in telecommunications [J].
Altman, E ;
Boulogne, T ;
El-Azouzi, R ;
Jiménez, T ;
Wynter, L .
COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (02) :286-311
[4]  
[Anonymous], 2017, Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016-2021 White Paper
[5]   A Decentralized Replica Placement Algorithm for Edge Computing [J].
Aral, Atakan ;
Ovatman, Tolga .
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (02) :516-529
[6]  
Arifuzzaman M., 2014, P ITU KAL AC C SAINT, P215
[7]   ON DISTRIBUTED COMMUNICATIONS NETWORKS [J].
BARAN, P .
IEEE TRANSACTIONS ON COMMUNICATIONS SYSTEMS, 1964, CS12 (01) :1-&
[8]   Distributed Caching Algorithms for Content Distribution Networks [J].
Borst, Sem ;
Gupta, Varun ;
Walid, Anwar .
2010 PROCEEDINGS IEEE INFOCOM, 2010,
[9]   Mobile Edge Computing Resources Optimization: A Geo-Clustering Approach [J].
Bouet, Mathieu ;
Conan, Vania .
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (02) :787-796
[10]  
Breslau L, 1999, IEEE INFOCOM SER, P126, DOI 10.1109/INFCOM.1999.749260