Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Passive estimation of TCP round-trip times
ACM SIGCOMM Computer Communication Review
On the characteristics and origins of internet flow rates
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Measurement and classification of out-of-sequence packets in a tier-1 IP backbone
IEEE/ACM Transactions on Networking (TON)
A stochastic model for the throughput of non-persistent TCP flows
Performance Evaluation
Network-Wide Measurements of TCP RTT in 3G
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
Revisiting the Performance of Short TCP Transfers
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
On dominant characteristics of residential broadband internet traffic
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Impact of search results on user queries
Proceedings of the eleventh international workshop on Web information and data management
DeSRTO: an effective algorithm for SRTO detection in TCP connections
TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
New methods for passive estimation of TCP round-trip times
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
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In this paper, we address the problem of comparing the performance perceived by end users when they use different technologies to access the Internet. We focus on three key technologies: Cellular, ADSL and FTTH. Users primarily interact with the network through the networking applications they use. We tackle the comparison task by focusing on Web search services, which are arguably a key service for end users. We first demonstrate that RTT and packet loss alone are not enough to fully understand the observed differences or similarities of performance between the different access technologies. We then present an approach based on a fine-grained profiling of the data time of transfers that sheds light on the interplay between service, access and usage, for the client and server side. We use a clustering approach to identify groups of connections experiencing similar performance over the different access technologies. This technique allows to attribute performance differences perceived by the client separately to the specific characteristics of the access technology, behavior of the server, and behavior of the client.