Characterizing Alert and Browse Services of Mobile Clients

There is a fair amount of evidence that suggests that Internet access from wirelessly-connected mobile handheld devices is gaining popularity. However, there haven’t been too many studies that have focused solely on analyzing the wireless Internet. In this paper, we study the notification and browse services provided by a large commercial web site designed specifically for users who access it via their cell-phones and PDAs. Unlike previous web studies that have analyzed browse services provided over wired networks, we focus primarily on browse and notification services provided over wireless channels. Specifically, we analyze the notification and browser traces to understand the system load, the type of content accessed, and user behavior. We discuss the implications of our findings for techniques such as multicast, query caching and optimization, and transport protocol design.

[1]  G. CN5MOP946Q,et al.  Characterizing user behavior and network performance in a public wireless lan , .

[2]  Surajit Chaudhuri,et al.  Automated Selection of Materialized Views and Indexes in SQL Databases , 2000, VLDB.

[3]  Azer Bestavros,et al.  Characteristics of www client traces , 1995 .

[4]  Paul Barford,et al.  Changes in Web Client Access Patterns , 1998, The Web Conference.

[5]  Steven Glassman,et al.  A Caching Relay for the World Wide Web , 1994, Comput. Networks ISDN Syst..

[6]  Martin Arlitt,et al.  A workload characterization study of the 1998 World Cup Web site , 2000, IEEE Netw..

[7]  Carey L. Williamson,et al.  Internet Web servers: workload characterization and performance implications , 1997, TNET.

[8]  Paramvir Bahl,et al.  Analyzing the browse patterns of mobile clients , 2001, IMW '01.

[9]  Randy H. Katz,et al.  TCP Fast Start: A Technique For Speeding Up Web Transfers , 1998 .

[10]  Li Fan,et al.  Web caching and Zipf-like distributions: evidence and implications , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[11]  Hiroshi Tsuji,et al.  Memory-Based Architecture for Distributed WWW Caching Proxy , 1998, Comput. Networks.

[12]  Yin Zhang,et al.  Speeding Up Short Data Transfers: Theory, Architectural Support, and Simulation Results , 2000 .

[13]  Mary Baker,et al.  Analysis of a Metropolitan-Area Wireless Network , 1999, Wirel. Networks.

[14]  Kirk L. Johnson,et al.  Overcast: reliable multicasting with on overlay network , 2000, OSDI.

[15]  Srinivasan Seshan,et al.  Enabling conferencing applications on the internet using an overlay muilticast architecture , 2001, SIGCOMM 2001.

[16]  Azer Bestavros,et al.  Changes in Web client access patterns: Characteristics and caching implications , 1999, World Wide Web.

[17]  Alec Wolman,et al.  On the scale and performance of cooperative Web proxy caching , 1999, SOSP.

[18]  Venkata N. Padmanabhan,et al.  The content and access dynamics of a busy web site: findings and implicatins , 2000, SIGCOMM.

[19]  Mark Crovella,et al.  Characteristics of WWW Client-based Traces , 1995 .

[20]  Mary Baker,et al.  Analysis of a local-area wireless network , 2000, MobiCom '00.

[21]  Dinesh C. Verma,et al.  ALMI: An Application Level Multicast Infrastructure , 2001, USITS.

[22]  Scott Shenker,et al.  A scalable Web cache consistency architecture , 1999, SIGCOMM '99.

[23]  Jeffrey C. Mogul,et al.  The case for persistent-connection HTTP , 1995, SIGCOMM '95.

[24]  G. Voelker,et al.  On the scale and performance of cooperative Web proxy caching , 1999, SOSP.

[25]  Martin Arlitt,et al.  Workload Characterization of the 1998 World Cup Web Site , 1999 .

[26]  Alec Wolman,et al.  Organization-Based Analysis of Web-Object Sharing and Caching , 1999, USENIX Symposium on Internet Technologies and Systems.

[27]  Thomas Kunz,et al.  WAP traffic: description and comparison to WWW traffic , 2000, MSWIM '00.