A memory efficient algorithm for network reliability

We combine the Augmented Ordered Binary Decision Diagram (OBDD-A) with the use of boundary sets to create a method for computing the exact K-terminal or all-terminal reliability of an undirected network with failed edges and perfect vertices. We present the results of implementing this algorithm and...

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Bibliographic Details
Main Authors: Herrmann, Johannes, Soh, Sieteng
Other Authors: na
Format: Conference Paper
Published: IEEE explore 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/27346
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author Herrmann, Johannes
Soh, Sieteng
author2 na
author_facet na
Herrmann, Johannes
Soh, Sieteng
author_sort Herrmann, Johannes
building Curtin Institutional Repository
collection Online Access
description We combine the Augmented Ordered Binary Decision Diagram (OBDD-A) with the use of boundary sets to create a method for computing the exact K-terminal or all-terminal reliability of an undirected network with failed edges and perfect vertices. We present the results of implementing this algorithm and show that the execution time is comparable with the state of the art and the space requirement is greatly reduced. Indeed the space remains constant when networks increase in size but maintain their structure and maximum boundary set size; with the same amount of memory used for computing a 312 and a 31000 grid network.
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spelling curtin-20.500.11937-273462017-10-02T02:27:49Z A memory efficient algorithm for network reliability Herrmann, Johannes Soh, Sieteng na binary decision diagram network - reliability K-terminal reliability all-terminal reliability space - efficient. - I boundary set We combine the Augmented Ordered Binary Decision Diagram (OBDD-A) with the use of boundary sets to create a method for computing the exact K-terminal or all-terminal reliability of an undirected network with failed edges and perfect vertices. We present the results of implementing this algorithm and show that the execution time is comparable with the state of the art and the space requirement is greatly reduced. Indeed the space remains constant when networks increase in size but maintain their structure and maximum boundary set size; with the same amount of memory used for computing a 312 and a 31000 grid network. 2009 Conference Paper http://hdl.handle.net/20.500.11937/27346 IEEE explore fulltext
spellingShingle binary decision diagram
network - reliability
K-terminal reliability
all-terminal reliability
space - efficient. - I
boundary set
Herrmann, Johannes
Soh, Sieteng
A memory efficient algorithm for network reliability
title A memory efficient algorithm for network reliability
title_full A memory efficient algorithm for network reliability
title_fullStr A memory efficient algorithm for network reliability
title_full_unstemmed A memory efficient algorithm for network reliability
title_short A memory efficient algorithm for network reliability
title_sort memory efficient algorithm for network reliability
topic binary decision diagram
network - reliability
K-terminal reliability
all-terminal reliability
space - efficient. - I
boundary set
url http://hdl.handle.net/20.500.11937/27346