Understanding the Impact of the Access Technology: The Case of Web Search Services

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.

[1]  Donald F. Towsley,et al.  Measurement and Classification of Out-of-Sequence Packets in a Tier-1 IP Backbone , 2002, IEEE/ACM Transactions on Networking.

[2]  François Baccelli,et al.  A stochastic model for the throughput of non-persistent TCP flows , 2006, valuetools '06.

[3]  kc claffy,et al.  The RTT distribution of TCP flows on the Internet and its impact on TCP based flow control , 2004 .

[4]  Scott Shenker,et al.  On the characteristics and origins of internet flow rates , 2002, SIGCOMM.

[5]  Donald F. Towsley,et al.  Modeling TCP throughput: a simple model and its empirical validation , 1998, SIGCOMM '98.

[6]  Anja Feldmann,et al.  On dominant characteristics of residential broadband internet traffic , 2009, IMC '09.

[7]  Albert G. Greenberg,et al.  Measuring and Evaluating TCP Splitting for Cloud Services , 2010, PAM.

[8]  Kang Li,et al.  New Methods for Passive Estimation of TCP Round-Trip Times , 2005, PAM.

[9]  Fabio Ricciato,et al.  Network-Wide Measurements of TCP RTT in 3G , 2009, TMA.

[10]  Donald F. Towsley,et al.  Measurement and Classification of Out-of-Sequence Packets in a Tier-1 IP Backbone , 2002, IEEE/ACM Transactions on Networking.

[11]  Guillaume Urvoy-Keller,et al.  Revisiting the Performance of Short TCP Transfers , 2009, Networking.

[12]  Markus Rupp,et al.  Measured WEB Performance in GPRS, EDGE, UMTS and HSDPA with and without Caching , 2007, 2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[13]  Hao Jiang,et al.  Passive estimation of TCP round-trip times , 2002, CCRV.

[14]  Gennaro Boggia,et al.  DeSRTO: An Effective Algorithm for SRTO Detection in TCP Connections , 2010, TMA.

[15]  Guillaume Vu-Brugier Analysis of the impact of early fiber access deployment on residential Internet traffic , 2009, 2009 21st International Teletraffic Congress.

[16]  Anja Feldmann,et al.  Web search clickstreams , 2006, IMC '06.

[17]  Sofia Stamou,et al.  Impact of search results on user queries , 2009, WIDM.

[18]  Louis Plissonneau,et al.  Mobile data traffic analysis: How do you prefer watching videos? , 2010, 2010 22nd International Teletraffic Congress (lTC 22).