Survivability evaluation for networks carrying complex traffic flows
The capability of a system to fulfill its mission promptly in the presence of attacks, failures, or accidents is one of the qualitative definitions of survivability. In this paper, we propose a model for survivability quantification, which is acceptable for networks carrying complex traffic flows. C...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2023-04-01
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| Series: | Digital Communications and Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864822000487 |
| _version_ | 1797829548000149504 |
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| author | Amin Jamali Mehdi Berenjkoub Hossein Saidi Behrouz Shahgholi Ghahfarokhi |
| author_facet | Amin Jamali Mehdi Berenjkoub Hossein Saidi Behrouz Shahgholi Ghahfarokhi |
| author_sort | Amin Jamali |
| collection | DOAJ |
| description | The capability of a system to fulfill its mission promptly in the presence of attacks, failures, or accidents is one of the qualitative definitions of survivability. In this paper, we propose a model for survivability quantification, which is acceptable for networks carrying complex traffic flows. Complex network traffic is considered as general multi-rate, heterogeneous traffic, where the individual bandwidth demands may aggregate in complex, nonlinear ways. Blocking probability is the chosen measure for survivability analysis. We study an arbitrary topology and some other known topologies for the network. Independent and dependent failure scenarios as well as deterministic and random traffic models are investigated. Finally, we provide survivability evaluation results for different network configurations. The results show that by using about 50% of the link capacity in networks with a relatively high number of links, the blocking probability remains near zero in the case of a limited number of failures. |
| first_indexed | 2024-04-09T13:21:57Z |
| format | Article |
| id | doaj.art-59509891629a4690baf2904b42b3d9bb |
| institution | Directory Open Access Journal |
| issn | 2352-8648 |
| language | English |
| last_indexed | 2024-04-09T13:21:57Z |
| publishDate | 2023-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj.art-59509891629a4690baf2904b42b3d9bb2023-05-11T04:24:15ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482023-04-0192534544Survivability evaluation for networks carrying complex traffic flowsAmin Jamali0Mehdi Berenjkoub1Hossein Saidi2Behrouz Shahgholi Ghahfarokhi3Faculty of Computer Engineering, University of Isfahan, Isfahan, 8174673441, Iran; Corresponding author.Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 8415683111, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 8415683111, IranFaculty of Computer Engineering, University of Isfahan, Isfahan, 8174673441, IranThe capability of a system to fulfill its mission promptly in the presence of attacks, failures, or accidents is one of the qualitative definitions of survivability. In this paper, we propose a model for survivability quantification, which is acceptable for networks carrying complex traffic flows. Complex network traffic is considered as general multi-rate, heterogeneous traffic, where the individual bandwidth demands may aggregate in complex, nonlinear ways. Blocking probability is the chosen measure for survivability analysis. We study an arbitrary topology and some other known topologies for the network. Independent and dependent failure scenarios as well as deterministic and random traffic models are investigated. Finally, we provide survivability evaluation results for different network configurations. The results show that by using about 50% of the link capacity in networks with a relatively high number of links, the blocking probability remains near zero in the case of a limited number of failures.http://www.sciencedirect.com/science/article/pii/S2352864822000487Blocking probabilityComplex trafficLink failureNetwork survivabilityDisaster recoveryInformation assurance |
| spellingShingle | Amin Jamali Mehdi Berenjkoub Hossein Saidi Behrouz Shahgholi Ghahfarokhi Survivability evaluation for networks carrying complex traffic flows Digital Communications and Networks Blocking probability Complex traffic Link failure Network survivability Disaster recovery Information assurance |
| title | Survivability evaluation for networks carrying complex traffic flows |
| title_full | Survivability evaluation for networks carrying complex traffic flows |
| title_fullStr | Survivability evaluation for networks carrying complex traffic flows |
| title_full_unstemmed | Survivability evaluation for networks carrying complex traffic flows |
| title_short | Survivability evaluation for networks carrying complex traffic flows |
| title_sort | survivability evaluation for networks carrying complex traffic flows |
| topic | Blocking probability Complex traffic Link failure Network survivability Disaster recovery Information assurance |
| url | http://www.sciencedirect.com/science/article/pii/S2352864822000487 |
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