Paper Info
Title
Multimedia traffic analysis using CHITRA95
Abstract
We describe how to investigate collections of trace data representing network delivery of multimedia information with CHITRA95, a tool that allows a user to visualize, query, statistically analyze and test, transform, and model collections of trace data. CHITRA95 is applied to characterize World Wide Web (WWW) traffic from three workloads: students in a classroom of network-connected workstations, graduate students browsing the Web, undergraduates browsing educational and other materials, as well as traffic on a courseware repository server. We explore the inter-access time of files on a server (i.e., recency), the hit rate from a proxy server cache, and the distributions of file sizes and media types requested. The traffic study also yields statistics on the effectiveness of caching to improve transfer rates. In contrast to past WWW traffic studies, we analyze client as well as server traffic; we compare three workloads rather than drawing conclusions from one workload; and we analyze tcpdump logs to calculate the performance improvement in throughput that an end user sees due to caching.
Year
DOI
Venue
1995
10.1145/217279.215278
ACM Multimedia 2001
Keywords
Field
DocType
multimedia traffic analysis,workload modeling,past www traffic study,education,traffic study,courseware repository server,proxy server cache,world wide web,tools,networking and communication,file size,end user,graduate student,server traffic,trace data
Hit rate,Traffic analysis,End user,Cache,Computer science,Workstation,Throughput,Multimedia,Database,Performance improvement,Proxy server
Conference
ISBN
Citations 
PageRank 
0-89791-751-0
10
11.42
References 
Authors
5
6
Name
Order
Citations
PageRank
Marc Abrams1549153.19
Stephen Williams21011.42
Ghaleb Abdulla3519150.23
Shashin Patel41011.42
Randy Ribler51011.75
Edward A. Fox63966921.62