Drafting behind Akamai (travelocity-based detouring)
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Revealing skype traffic: when randomness plays with you
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
The Akamai network: a platform for high-performance internet applications
ACM SIGOPS Operating Systems Review
Proceedings of the ACM SIGCOMM 2010 conference
Comparing DNS resolvers in the wild
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
KISS: stochastic packet inspection classifier for UDP traffic
IEEE/ACM Transactions on Networking (TON)
Measuring a commercial content delivery network
Proceedings of the 20th international conference on World wide web
Dissecting Video Server Selection Strategies in the YouTube CDN
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Characterizing the file hosting ecosystem: A view from the edge
Performance Evaluation
DNS to the rescue: discerning content and services in a tangled web
Proceedings of the 2012 ACM conference on Internet measurement conference
Analyzing the impact of YouTube delivery policies on user experience
Proceedings of the 24th International Teletraffic Congress
Traffic pattern based virtual network embedding
Proceedings of the 2013 workshop on Student workhop
NetCluster: A clustering-based framework to analyze internet passive measurements data
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.00 |
In this paper we aim at observing how today the Internet large organizations deliver web content to end users. Using one-week long data sets collected at three vantage points aggregating more than 30,000 Internet customers, we characterize the offered services precisely quantifying and comparing the performance of different players. Results show that today 65% of the web traffic is handled by the top 10 organizations. We observe that, while all of them serve the same type of content, different server architectures have been adopted considering load balancing schemes, servers number and location: some organizations handle thousands of servers with the closest being few milliseconds far away from the end user, while others manage few data centers. Despite this, the performance of bulk transfer rate offered to end users are typically good, but impairment can arise when content is not readily available at the server and has to be retrieved from the CDN back-end.