{"title":"Pay or Perish: The Economics of Premium Peering","authors":"Richard T. B. Ma","doi":"10.1109/JSAC.2017.2659038","DOIUrl":null,"url":null,"abstract":"As the Internet continues to evolve, traditional peering agreements cannot accommodate the changing market conditions. Premium peering has emerged where access providers (APs) charge content providers (CPs) for premium services beyond best-effort connectivity. Although prioritized peering raises concerns about net neutrality, the U.S. FCC exempted peering agreements from its recent ruling, as it falls short of background in the Internet peering context. In this paper, we consider the premium peering options provided by APs and study whether CPs will choose to peer. Based on a novel choice model of complementary services, we characterize the market shares and utilities of the providers under various peering decisions and identify the value of premium peering for the CPs that fundamentally determine CPs’ peering decisions. We find that high-value CPs have peer pressure when low-value CPs peer; however, low-value CPs behave oppositely. The peering decisions of the high-value and low-value CPs are substantially influenced by their baseline market shares and user stickiness, respectively, but not vice versa.","PeriodicalId":13243,"journal":{"name":"IEEE Journal on Selected Areas in Communications","volume":"35 1","pages":"353-366"},"PeriodicalIF":13.8000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/JSAC.2017.2659038","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal on Selected Areas in Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/JSAC.2017.2659038","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 24
Abstract
As the Internet continues to evolve, traditional peering agreements cannot accommodate the changing market conditions. Premium peering has emerged where access providers (APs) charge content providers (CPs) for premium services beyond best-effort connectivity. Although prioritized peering raises concerns about net neutrality, the U.S. FCC exempted peering agreements from its recent ruling, as it falls short of background in the Internet peering context. In this paper, we consider the premium peering options provided by APs and study whether CPs will choose to peer. Based on a novel choice model of complementary services, we characterize the market shares and utilities of the providers under various peering decisions and identify the value of premium peering for the CPs that fundamentally determine CPs’ peering decisions. We find that high-value CPs have peer pressure when low-value CPs peer; however, low-value CPs behave oppositely. The peering decisions of the high-value and low-value CPs are substantially influenced by their baseline market shares and user stickiness, respectively, but not vice versa.
期刊介绍:
The IEEE Journal on Selected Areas in Communications (JSAC) is a prestigious journal that covers various topics related to Computer Networks and Communications (Q1) as well as Electrical and Electronic Engineering (Q1). Each issue of JSAC is dedicated to a specific technical topic, providing readers with an up-to-date collection of papers in that area. The journal is highly regarded within the research community and serves as a valuable reference.
The topics covered by JSAC issues span the entire field of communications and networking, with recent issue themes including Network Coding for Wireless Communication Networks, Wireless and Pervasive Communications for Healthcare, Network Infrastructure Configuration, Broadband Access Networks: Architectures and Protocols, Body Area Networking: Technology and Applications, Underwater Wireless Communication Networks, Game Theory in Communication Systems, and Exploiting Limited Feedback in Tomorrow’s Communication Networks.