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Proceedings Paper

Efficient image data distribution and management with application to web caching architectures
Author(s): Keesook Julia Han; Bruce W. Suter
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Paper Abstract

We present compact image data structures and associated packet delivery techniques for effective Web caching architectures. Presently, images on a web page are inefficiently stored, using a single image per file. Our approach is to use clustering to merge similar images into a single file in order to exploit the redundancy between images. Our studies indicate that a 30-50% image data size reduction can be achieved by eliminating the redundancies of color indexes. Attached to this file is new metadata to permit an easy extraction of images. This approach will permit a more efficient use of the cache, since a shorter list of cache references will be required. Packet and transmission delays can be reduced by 50% eliminating redundant TCP/IP headers and connection time. Thus, this innovative paradigm for the elimination of redundancy may provide valuable benefits for optimizing packet delivery in IP networks by reducing latency and minimizing the bandwidth requirements.

Paper Details

Date Published: 21 March 2003
PDF: 8 pages
Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); doi: 10.1117/12.487769
Show Author Affiliations
Keesook Julia Han, Air Force Research Lab. (United States)
Bruce W. Suter, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 5098:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology V
Belur V. Dasarathy, Editor(s)

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