Balancing Push and Pull for Data Broadcast.
Swarup Acharya, Michael J. Franklin, Stanley B. Zdonik:
Balancing Push and Pull for Data Broadcast.
SIGMOD Conference 1997: 183-194@inproceedings{DBLP:conf/sigmod/AcharyaFZ97,
author = {Swarup Acharya and
Michael J. Franklin and
Stanley B. Zdonik},
editor = {Joan Peckham},
title = {Balancing Push and Pull for Data Broadcast},
booktitle = {SIGMOD 1997, Proceedings ACM SIGMOD International Conference
on Management of Data, May 13-15, 1997, Tucson, Arizona, USA},
publisher = {ACM Press},
year = {1997},
pages = {183-194},
ee = {http://doi.acm.org/10.1145/253260.253293, db/conf/sigmod/AcharyaFZ97.html},
crossref = {DBLP:conf/sigmod/97},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
The increasing ability to interconnect computers through internet-working,
wireless networks, high-bandwidth satellite, and cable
networks has spawned a new class of information-centered applications
based on data dissemination. These applications employ
broadcast to deliver data to very large client populations. We have
proposed the Broadcast Disks paradigm
[Zdon94, AchBSb]
for organizing the contents of a data broadcast program and for managing
client resources in response to such a program. Our previous
work on Broadcast Disks focused exclusively on the "push-based"
approach, where data is sent out on the broadcast channel according
to a periodic schedule, in anticipation of client requests. In
this paper, we study how to augment the push-only model with a
"pull-based" approach of using a backchannel to allow clients to
send explicit requests for data to the server. We analyze the scalability
and performance of a broadcast-based system that integrates
push and pull and study the impact of this integration on both the
steady state and warm-up performance of clients. Our results show
that a client backchannel can provide significant performance improvement
in the broadcast environment, but that unconstrained use
of the backchannel can result in scalability problems due to server
saturation. We propose and investigate a set of three techniques that
can delay the onset of saturation and thus, enhance the performance
and scalability of the system.
Copyright © 1997 by the ACM,
Inc., used by permission. Permission to make
digital or hard copies is granted provided that
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Printed Edition
Joan Peckham (Ed.):
SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, May 13-15, 1997, Tucson, Arizona, USA.
ACM Press 1997 ,
SIGMOD Record 26(2),
June 1997
Contents
[Index Terms]
[Full Text in PDF Format, 1748 KB]
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Copyright © Fri Mar 12 17:21:33 2010
by Michael Ley (ley@uni-trier.de)