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Impact of Carrier-Grade NAT on Web Browsing

TitleImpact of Carrier-Grade NAT on Web Browsing
Publication TypeConference Paper
Year of Publication2015
AuthorsBocchi, E., A. Safari, S. Traverso, A. Finamore, V. Di Gennaro, M. Mellia, M. Munafo, and D. Rossi
Conference Name 6th International Workshop on TRaffic Analysis and Characterization (TRAC) - The paper won the BEST PAPER award
Date Published08/2015
PublisherIEEE
Conference LocationDobrovnik, Croatia
Abstract

Public IPv4 addresses are a scarce resource. While IPv6 adoption is lagging, Network Address Translation (NAT) technologies have been deployed over the last years to alleviate IPv4 exiguity and their high rental cost. In particular, Carrier- Grade NAT (CGN) is a well known solution to mask a whole ISP network behind a limited amount of public IP addresses, significantly reducing expenses. Despite its economical benefits, CGN can introduce connectiv- ity issues which have sprouted a considerable effort in research, development and standardization. However, to the best of our knowledge, little effort has been dedicated to investigate the impact that CGN deployment may have on users’ traffic. This paper fills the gap. We leverage passive measurements from an ISP network deploying CGN and, by means of the Jensen- Shannon divergence, we contrast several performance metrics considering customers being offered public or private addresses. In particular, we gauge the impact of CGN presence on users’ web browsing experience. Our results testify that CGN is a mature and stable technology as, if properly deployed, it does not harm users’ web browsing experience. Indeed, while our analysis lets emerge expected stochastic differences of certain indexes (e.g., the difference in the path hop count), the measurements related to the quality of users’ browsing are otherwise unperturbed. Interestingly, we also observe that CGN protects customers from unsolicited, often malicious, traffic.

URLhttp://www.enst.fr/ drossi/paper/rossi15trac.pdf
Citation KeyDR:TRAC-15
Project year: 
Third year
WP(s) associated with the paper: 
WP3 - Large-scale data analysis
WP4 - mPlane Supervisor: Iterative and Adaptive Analysis
WP5 - Integration, Deployment, Data Collection, Evaluation
Partner(s) associated with the paper's author(s): 
Politecnico di Torino
Telecom Paritech
Is this an OFFICIALLY supported mPlane paper?: 
Yes
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