TY - GEN
T1 - On the CDN Pricing Strategies in the Internet Traffic Delivery Chain
AU - Lee, Seunghyun
AU - Joo, Changhee
N1 - Funding Information:
This work was supported in part by the MSIT, Korea, under the ICT Creative Consilience program (IITP-2020-0-01819) supervised by the IITP, by the NRF grant funded by the Korea government (MSIT) (No. NRF-2017K1A3A1A19070720), and by a Korea University Grant.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/13
Y1 - 2021/1/13
N2 - The Content Delivery Network (CDN) appears as a solution for the rapidly growing demand of Internet traffic. Through distributed surrogate servers, the CDN can manage higher traffic demand and improve the overall efficiency. Since the CDN is included in the conventional Internet traffic delivery chain, and becomes popular as a new passage between users and content providers, it starts playing a significant role in the market. In this paper, we investigate the strategies of the players in the Internet market with the CDN, taking into consideration the network factors that impacts on the players' decision as well as the objective and the regulations.
AB - The Content Delivery Network (CDN) appears as a solution for the rapidly growing demand of Internet traffic. Through distributed surrogate servers, the CDN can manage higher traffic demand and improve the overall efficiency. Since the CDN is included in the conventional Internet traffic delivery chain, and becomes popular as a new passage between users and content providers, it starts playing a significant role in the market. In this paper, we investigate the strategies of the players in the Internet market with the CDN, taking into consideration the network factors that impacts on the players' decision as well as the objective and the regulations.
KW - CDN
KW - Internet pricing
UR - http://www.scopus.com/inward/record.url?scp=85100766496&partnerID=8YFLogxK
U2 - 10.1109/ICOIN50884.2021.9333859
DO - 10.1109/ICOIN50884.2021.9333859
M3 - Conference contribution
AN - SCOPUS:85100766496
T3 - International Conference on Information Networking
SP - 680
EP - 682
BT - 35th International Conference on Information Networking, ICOIN 2021
PB - IEEE Computer Society
T2 - 35th International Conference on Information Networking, ICOIN 2021
Y2 - 13 January 2021 through 16 January 2021
ER -