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Book Chapter
Improving Dependability of Real-Time Communication with Preplanned Backup Routes and Spare Resource Pool
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2707/2003
Book
Quality of Service — IWQoS 2003
DOI
10.1007/3-540-44884-5
Copyright
2003
ISBN
978-3-540-40281-7
DOI
10.1007/3-540-44884-5_11
Page
153
Subject Collection
Computer Science
SpringerLink Date
Wednesday, January 01, 2003
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Improving Dependability of Real-Time Communication with Preplanned Backup Routes and Spare Resource Pool
Songkuk Kim
7
and Kang G. Shin
7
(7)
University of Michigan, Ann Arbor, MI, 48109-2122
Abstract
Timely recovery from network component failures is essential to the applications that require guaranteed-performance communication services. To achieve dependable communication, there have been several proposals that can be classified into two categories: reactive and proactive.
The reactive approach tries to reroute traffic upon detection of a network link/node failure. This approach may suffer from contention and resource shortage when multiple connections need to be rerouted at the same time. The proactive approach, on the other hand, prepares a backup channel in advance that will be activated upon failure of the corresponding primary channel due to a broken link or node. The proactive approach, although it offers higher dependability, incurs higher routing overhead than the reactive approach.
We propose a hybrid approach that reduces signaling overhead by decoupling backup routing from resource provisioning. We also propose an efficient backup routing algorithm for the hybrid approach. Our in-depth simulation results show that the proposed approach can achieve the ability of failure recovery comparable to the proactive scheme without the need for broadcasting the routing information.
The work reported in this paper was supported in part by the Office of Naval Research under Grant No. N00014-99-1-0465.
Songkuk
Kim
Email:
songkuk@eecs.umich.edu
Kang
G.
Shin
Email:
kgshin@eecs.umich.edu
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