Abstract
The nodes as well as the links may fail in a real network. Almost all the existing tree-based partitioning algorithms are inefficient in finding the disjoint paths in a large network even if all the nodes are perfect. The number of disjoint paths will increase dramatically if a network has imperfect nodes. In this paper, strategies based on edge expansion diagram using OBDD are proposed to efficiently evaluate the reliability of a network with imperfect nodes. The fixed sink algorithm is proposed to further speed up the process for k-terminal networks. The essential variable is also defined to help us identify the most critical part of the network. Our methods are better than previous numeric algorithms and have two significant results. First, it takes only about 65 seconds to identify the essential variable for a 299-path network on a SPARC 20 with 128 MB of memory. Second, the overhead due to considering imperfect nodes is as low as 0.2% in average for seven st3×n networks, where n = 13, 14,..., 19.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2002 Pacific Rim International Symposium on Dependable Computing, PRDC 2002 |
| Publisher | IEEE Computer Society |
| Pages | 89-96 |
| Number of pages | 8 |
| ISBN (Electronic) | 0769518524 |
| DOIs | |
| State | Published - 2002 |
| Externally published | Yes |
| Event | Pacific Rim International Symposium on Dependable Computing, PRDC 2002 - Tsukuba City, Ibaraki, Japan Duration: 16 12 2002 → 18 12 2002 |
Publication series
| Name | Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC |
|---|---|
| Volume | 2002-January |
| ISSN (Print) | 1541-0110 |
Conference
| Conference | Pacific Rim International Symposium on Dependable Computing, PRDC 2002 |
|---|---|
| Country/Territory | Japan |
| City | Tsukuba City, Ibaraki |
| Period | 16/12/02 → 18/12/02 |
Bibliographical note
Publisher Copyright:© 2002 IEEE.
Keywords
- Boolean functions
- Computer networks
- Councils
- Data structures
- Equations
- Failure analysis
- Merging
- NP-hard problem
- Partitioning algorithms
- Production
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