On measuring the client-side DNS infrastructure

Authors:
Kyle Schomp;Tom Callahan;Michael Rabinovich;Mark Allman
Affiliations:
Case Western Reserve University, Cleveland, OH, USA;Case Western Reserve University, Cleveland, OH, USA;Case Western Reserve University, Cleveland, OH, USA;International Computer Science Institute, Berkeley, CA, USA
Venue:
Proceedings of the 2013 conference on Internet measurement conference
Year:
2013

Citing 12
Cited 0

King: estimating latency between arbitrary internet end hosts

Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Diversity in DNS performance measures

Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
A Precise and Efficient Evaluation of the Proximity Between Web Clients and Their Local DNS Servers

ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Inferring relative popularity of internet applications by actively querying DNS caches

Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
PlanetLab: an overlay testbed for broad-coverage services

ACM SIGCOMM Computer Communication Review
On the responsiveness of DNS-based network control

Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Peeking through the cloud: DNS-based estimation and its applications

ACNS'08 Proceedings of the 6th international conference on Applied cryptography and network security
Comparing DNS resolvers in the wild

IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Demystifying service discovery: implementing an internet-wide scanner

IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
On building inexpensive network capabilities

ACM SIGCOMM Computer Communication Review
The anatomy of LDNS clusters: findings and implications for web content delivery

Proceedings of the 22nd international conference on World Wide Web
On modern DNS behavior and properties

ACM SIGCOMM Computer Communication Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Domain Name System (DNS) is a critical component of the Internet infrastructure. It allows users to interact with Web sites using human-readable names and provides a foundation for transparent client request distribution among servers in Web platforms, such as content delivery networks. In this paper, we present methodologies for efficiently discovering the complex client-side DNS infrastructure. We further develop measurement techniques for isolating the behavior of the distinct actors in the infrastructure. Using these strategies, we study various aspects of the client-side DNS infrastructure and its behavior with respect to caching, both in aggregate and separately for different actors.