A Novel Method for Survivability Test Based on End Nodes in Large Scale Network Article Swipe
Liang Ming
,
Gang Zhao
,
Dongxia Wang
,
Minhuan Huang
,
Li Xiang
,
Qing Miao
,
Fei Xu
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2015.02.008
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2015.02.008
Survivability is a necessary property of network system in disturbed environment.Recovery ability is a key actor of survivability.This paper concludes network survivability into a novel composite metric, i.e.Network Recovery Degree (NRD).In order to measure this metric in quantity, a concept of Source-Destination Pair (SD Pair), is created to abstract end-to-end activity based on end nodes in network, and the quality of SD Pair is also used to describe network performance, such as connectivity, quality of service, link degree, and so on.After that, a Survivability Test method in large scale Network based on SD pairs, called STNSD, is provided.How to select SD Pairs effectively in large scale network is also provided.We set up simulation environment to validate the test method in a severe destroy scenario and evaluate the method scalability in different large scale network scenarios.Experiment and analysis shows that the metric NRD correctly reflects the effort of different survivability strategy, and the proposed test method STNSD has good scalability and can be used to test and evaluate quantitative survivability in large scale network.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3837/tiis.2015.02.008
- https://itiis.org/digital-library/manuscript/file/20728/TIISVol9No2-8.pdf
- OA Status
- bronze
- Cited By
- 5
- References
- 19
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2123056824
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2123056824Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3837/tiis.2015.02.008Digital Object Identifier
- Title
-
A Novel Method for Survivability Test Based on End Nodes in Large Scale NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-02-28Full publication date if available
- Authors
-
Liang Ming, Gang Zhao, Dongxia Wang, Minhuan Huang, Li Xiang, Qing Miao, Fei XuList of authors in order
- Landing page
-
https://doi.org/10.3837/tiis.2015.02.008Publisher landing page
- PDF URL
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https://itiis.org/digital-library/manuscript/file/20728/TIISVol9No2-8.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://itiis.org/digital-library/manuscript/file/20728/TIISVol9No2-8.pdfDirect OA link when available
- Concepts
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Survivability, Computer science, Metric (unit), Scalability, Scale (ratio), Quality of service, Computer network, Distributed computing, Reliability engineering, Engineering, Database, Physics, Operations management, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2021: 1, 2018: 1, 2017: 2Per-year citation counts (last 5 years)
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.on.After | 80 |
| abstract_inverted_index.property | 4 |
| abstract_inverted_index.proposed | 152 |
| abstract_inverted_index.reflects | 143 |
| abstract_inverted_index.scenario | 123 |
| abstract_inverted_index.service, | 75 |
| abstract_inverted_index.validate | 115 |
| abstract_inverted_index.composite | 25 |
| abstract_inverted_index.concludes | 19 |
| abstract_inverted_index.correctly | 142 |
| abstract_inverted_index.different | 130, 147 |
| abstract_inverted_index.disturbed | 9 |
| abstract_inverted_index.necessary | 3 |
| abstract_inverted_index.quantity, | 37 |
| abstract_inverted_index.strategy, | 149 |
| abstract_inverted_index.end-to-end | 49 |
| abstract_inverted_index.simulation | 112 |
| abstract_inverted_index.effectively | 102 |
| abstract_inverted_index.environment | 113 |
| abstract_inverted_index.i.e.Network | 27 |
| abstract_inverted_index.provided.We | 109 |
| abstract_inverted_index.scalability | 128, 158 |
| abstract_inverted_index.performance, | 69 |
| abstract_inverted_index.provided.How | 97 |
| abstract_inverted_index.quantitative | 167 |
| abstract_inverted_index.Survivability | 0, 83 |
| abstract_inverted_index.connectivity, | 72 |
| abstract_inverted_index.survivability | 21, 148, 168 |
| abstract_inverted_index.Source-Destination | 41 |
| abstract_inverted_index.survivability.This | 17 |
| abstract_inverted_index.environment.Recovery | 10 |
| abstract_inverted_index.scenarios.Experiment | 134 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.91318147 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |