EconPapers    
Economics at your fingertips  
 

Joint Location-Dependent Pricing and Request Mapping in ICN-Based Telco CDNs For 5G

Mingshuang Jin, Hongbin Luo, Shuai Gao and Bohao Feng
Additional contact information
Mingshuang Jin: School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
Hongbin Luo: School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China
Shuai Gao: School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
Bohao Feng: School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China

Future Internet, 2019, vol. 11, issue 6, 1-22

Abstract: Telco content delivery networks (CDNs) have envisioned building highly distributed and cloudified sites to provide a high-quality CDN service in the 5G era. However, there are still two open problems to be addressed. First, telco CDNs are operated upon the underlay network evolving towards information-centric networking (ICN). Different from CDNs that perform on the application layer, ICN enables information-centric forwarding to the network layer. Thus, it is challenging to take advantage of the benefits of both ICN and CDN to provide a high-quality content delivery service in the context of ICN-based telco CDNs. Second, bandwidth pricing and request mapping issues in ICN-based telco CDNs have not been thoroughly studied. In this paper, we first propose an ICN-based telco CDN framework that integrates the information-centric forwarding enabled by ICN and the powerful edge caching enabled by telco CDNs. Then, we propose a location-dependent pricing (LDP) strategy, taking into consideration the congestion level of different sites. Furthermore, on the basis of LDP, we formulate a price-aware request mapping (PARM) problem, which can be solved by existing linear programming solvers. Finally, we conduct extensive simulations to evaluate the effectiveness of our design.

Keywords: Telco CDN; ICN; pricing; request mapping; optimization (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/11/6/125/pdf (application/pdf)
https://www.mdpi.com/1999-5903/11/6/125/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:11:y:2019:i:6:p:125-:d:236897

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jftint:v:11:y:2019:i:6:p:125-:d:236897