Paper Info
Title
Patching Traceroute Using Geographic Information In Neutrality Inference Crowdsourcing
Abstract
Neutrality is an essential indicator to elucidate the quality of service of Internet Service Providers (ISPs). In regards of crowdsourcing method which relies on Traceroute, some neutrality inference mechanisms, especially System 4, are facing the problem that traffic information is precious and scarce. In this paper, we present a novel mechanism named GTR to patch the Traceroute using geographic information in neutrality inference crowdsourcing. We design a method to take advantage of widely distributed and accessible Web servers to implement practical measurement to demystify the regularities of routing in geolocation-level network mapping. Besides, we prove that GTR could improve the recognition rate of overlaps in System 4 up to 75% in practice.
Year
DOI
Venue
2017
10.1109/BIGCOM.2017.9
2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)
Keywords
Field
DocType
Traceroute,System 4,traffic information,patch,geographic information,neutrality inference crowdsourcing,geolocation-level network mapping,Web servers,Internet Service Providers,quality of service
Data mining,Network mapping,World Wide Web,traceroute,Inference,Computer science,Crowdsourcing,Quality of service,System 4,Neutrality,Web server
Conference
ISBN
Citations 
PageRank 
978-1-5386-3350-2
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Feng Tian1173.58
Lei Wang243364.21
Xinyang Liu342.08
Shan Gao4136.31