Low Latency Security Function Chain Embedding Across Multiple Domains Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.1109/access.2018.2791963
5G network is envisioned to provide massive connectivity for a wide range of applications, such as ultra-clear media, internet of vehicles, and smart home. The traditional way of providing security services is difficult to support these new 5G applications flexibly and effectively. In our previous work, we proposed a SFC-based framework that chains security functions in different domains to provide security services on demand. However, creating cross-domain service function chains will inevitably result in the additional network latency. In this paper, we study this problem of minimizing the end-to-end latency when deploying cross-domain service function chains for 5G applications. First, an exact approach, consisting of service chain partition and service subchain embedding, is proposed to derive an optimal solution for cross-domain service function chain placement. Second, we improve the Viterbi algorithm and propose an efficient heuristic approach to derive near-optimal solutions for large networks. We also compare the performance of the proposed exact approach, the proposed heuristic approach, and the simple greedy approach in different scales of network infrastructures. Simulation results are presented to demonstrate the effectiveness of the proposed approaches.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2018.2791963
- OA Status
- gold
- Cited By
- 37
- References
- 22
- Related Works
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- OpenAlex ID
- https://openalex.org/W2783872542
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2783872542Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2018.2791963Digital Object Identifier
- Title
-
Low Latency Security Function Chain Embedding Across Multiple DomainsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-01-01Full publication date if available
- Authors
-
Qi Xu, Deyun Gao, Taixin Li, Hongke ZhangList of authors in order
- Landing page
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https://doi.org/10.1109/access.2018.2791963Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/access.2018.2791963Direct OA link when available
- Concepts
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Computer science, Partition (number theory), Embedding, Heuristic, Computer network, Distributed computing, Artificial intelligence, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
37Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 4, 2022: 4, 2021: 10, 2020: 9Per-year citation counts (last 5 years)
- References (count)
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22Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.home. | 23 |
| abstract_inverted_index.large | 142 |
| abstract_inverted_index.range | 11 |
| abstract_inverted_index.smart | 22 |
| abstract_inverted_index.study | 82 |
| abstract_inverted_index.these | 35 |
| abstract_inverted_index.work, | 45 |
| abstract_inverted_index.First, | 99 |
| abstract_inverted_index.chains | 52, 69, 95 |
| abstract_inverted_index.derive | 115, 138 |
| abstract_inverted_index.greedy | 161 |
| abstract_inverted_index.media, | 17 |
| abstract_inverted_index.paper, | 80 |
| abstract_inverted_index.result | 72 |
| abstract_inverted_index.scales | 165 |
| abstract_inverted_index.simple | 160 |
| abstract_inverted_index.Second, | 125 |
| abstract_inverted_index.Viterbi | 129 |
| abstract_inverted_index.compare | 146 |
| abstract_inverted_index.demand. | 63 |
| abstract_inverted_index.domains | 57 |
| abstract_inverted_index.improve | 127 |
| abstract_inverted_index.latency | 89 |
| abstract_inverted_index.massive | 6 |
| abstract_inverted_index.network | 1, 76, 167 |
| abstract_inverted_index.optimal | 117 |
| abstract_inverted_index.problem | 84 |
| abstract_inverted_index.propose | 132 |
| abstract_inverted_index.provide | 5, 59 |
| abstract_inverted_index.results | 170 |
| abstract_inverted_index.service | 67, 93, 105, 109, 121 |
| abstract_inverted_index.support | 34 |
| abstract_inverted_index.However, | 64 |
| abstract_inverted_index.approach | 136, 162 |
| abstract_inverted_index.creating | 65 |
| abstract_inverted_index.flexibly | 39 |
| abstract_inverted_index.function | 68, 94, 122 |
| abstract_inverted_index.internet | 18 |
| abstract_inverted_index.latency. | 77 |
| abstract_inverted_index.previous | 44 |
| abstract_inverted_index.proposed | 47, 113, 151, 155, 179 |
| abstract_inverted_index.security | 29, 53, 60 |
| abstract_inverted_index.services | 30, 61 |
| abstract_inverted_index.solution | 118 |
| abstract_inverted_index.subchain | 110 |
| abstract_inverted_index.SFC-based | 49 |
| abstract_inverted_index.algorithm | 130 |
| abstract_inverted_index.approach, | 102, 153, 157 |
| abstract_inverted_index.deploying | 91 |
| abstract_inverted_index.different | 56, 164 |
| abstract_inverted_index.difficult | 32 |
| abstract_inverted_index.efficient | 134 |
| abstract_inverted_index.framework | 50 |
| abstract_inverted_index.functions | 54 |
| abstract_inverted_index.heuristic | 135, 156 |
| abstract_inverted_index.networks. | 143 |
| abstract_inverted_index.partition | 107 |
| abstract_inverted_index.presented | 172 |
| abstract_inverted_index.providing | 28 |
| abstract_inverted_index.solutions | 140 |
| abstract_inverted_index.vehicles, | 20 |
| abstract_inverted_index.Simulation | 169 |
| abstract_inverted_index.additional | 75 |
| abstract_inverted_index.consisting | 103 |
| abstract_inverted_index.embedding, | 111 |
| abstract_inverted_index.end-to-end | 88 |
| abstract_inverted_index.envisioned | 3 |
| abstract_inverted_index.inevitably | 71 |
| abstract_inverted_index.minimizing | 86 |
| abstract_inverted_index.placement. | 124 |
| abstract_inverted_index.approaches. | 180 |
| abstract_inverted_index.demonstrate | 174 |
| abstract_inverted_index.performance | 148 |
| abstract_inverted_index.traditional | 25 |
| abstract_inverted_index.ultra-clear | 16 |
| abstract_inverted_index.applications | 38 |
| abstract_inverted_index.connectivity | 7 |
| abstract_inverted_index.cross-domain | 66, 92, 120 |
| abstract_inverted_index.effectively. | 41 |
| abstract_inverted_index.near-optimal | 139 |
| abstract_inverted_index.applications, | 13 |
| abstract_inverted_index.applications. | 98 |
| abstract_inverted_index.effectiveness | 176 |
| abstract_inverted_index.infrastructures. | 168 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.95691084 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |