Title
On the Effects of Bandwidth Reduction Techniques in Distributed Applications
Abstract
Communication optimization plays an important role in building networked distributed applications. In this paper, we systematically evaluate four bandwidth reduction algorithms, namely direct sending, delta-encoding, fix-sized blocking, and vary-sized blocking, using five types of documents including source code, images, Web contents, Microsoft Word documents, and Latexfiles. The experiments were performed under four representative network connection technologies. Performance evaluation results show that different approaches have different performance in terms of different metrics. Completely different results can be achieved by the same algorithm with respect to different types of documents. Network condition can affect some algorithms substantially. Furthermore, the effect of block size to the system performance (for block-based algorithms) was also studied.
Year
DOI
Venue
2004
10.1007/978-3-540-30121-9_76
Lecture Notes in Computer Science
Keywords
Field
DocType
system performance,source code,distributed application
Block size,Computer science,Source code,Distributed algorithm,Bandwidth (signal processing),Ubiquitous computing,Network connection,Word processing,Distributed computing,The Internet
Conference
Volume
ISSN
Citations 
3207
0302-9743
3
PageRank 
References 
Authors
0.44
16
3
Name
Order
Citations
PageRank
Hanping Lufei1295.08
Weisong Shi22323163.09
Lucia Zamorano383.71