Title :
Characterizing temporal locality and its impact on web server performance
Author :
Cherkasova, Ludmila ; Ciardo, Gianfranco
Author_Institution :
Hewlett-Packard Labs., Palo Alto, CA, USA
Abstract :
The presence of temporal locality in web traces has long been recognized. However, the close proximity of requests for the same file in a trace can be attributed to two orthogonal reasons: long-term popularity and short-term correlation. The former reflects the fact that requests for a popular document appear “frequently” thus they are likely to be “close” in an absolute sense. The latter reflects the fact that requests for a given document might concentrate around particular points in the trace due to a variety of reasons, such as deadlines or surges in user interests, hence it focuses on “relative” closeness. We introduce a new measure of temporal locality, the scaled stack distance, which is insensitive to popularity and captures instead the impact of short-term correlation, and use it to parameterize a synthetic trace generator. Then, we validate the appropriateness of this quantity by comparing the file and byte miss ratios corresponding to either the original or the synthetic traces
Keywords :
Internet; file servers; information retrieval; telecommunication traffic recording; byte miss ratios; document requests; file miss ratios; long-term popularity; scaled stack distance; short-term correlation; synthetic trace generator; temporal locality characterization; web server performance; web traces; File servers; Laboratories; Load modeling; Middleware; Milling machines; Network servers; Performance analysis; Surges; Traffic control; Web server;
Conference_Titel :
Computer Communications and Networks, 2000. Proceedings. Ninth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-6494-5
DOI :
10.1109/ICCCN.2000.885525