Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1109/tcc.2020.2984604
In Cloud Computing, the tenants opting for the Infrastructure as a Service\n(IaaS) send the resource requirements to the Cloud Service Provider (CSP) in\nthe form of Virtual Network (VN) consisting of a set of inter-connected Virtual\nMachines (VM). Embedding the VN onto the existing physical network is known as\nVirtual Network Embedding (VNE) problem. One of the major research challenges\nis to allocate the physical resources such that the failure of the physical\nresources would bring less impact onto the users' service. Additionally, the\nmajor challenge is to handle the embedding process of growing number of\nincoming users' VNs from the algorithm design point-of-view. Considering both\nof the above-mentioned research issues, a novel Failure aware Semi-Centralized\nVNE (FSC-VNE) algorithm is proposed for the Fat-Tree data center network with\nthe goal to reduce the impact of the resource failure onto the existing users.\nThe impact of failure of the Physical Machines (PMs), physical links and\nnetwork devices are taken into account while allocating the resources to the\nusers. The beauty of the proposed algorithm is that the VMs are assigned to\ndifferent PMs in a semi-centralized manner. In other words, the embedding\nalgorithm is executed by multiple physical servers in order to concurrently\nembed the VMs of a VN and reduces the embedding time. Extensive simulation\nresults show that the proposed algorithm can outperform over other VNE\nalgorithms.\n
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tcc.2020.2984604
- OA Status
- green
- Cited By
- 16
- References
- 30
- Related Works
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- OpenAlex ID
- https://openalex.org/W3014977630
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3014977630Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tcc.2020.2984604Digital Object Identifier
- Title
-
Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-02Full publication date if available
- Authors
-
Chinmaya Kumar Dehury, Prasan Kumar SahooList of authors in order
- Landing page
-
https://doi.org/10.1109/tcc.2020.2984604Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2111.02727Direct OA link when available
- Concepts
-
Computer science, Cloud computing, Distributed computing, Server, Data center, Embedding, Virtual network, Computer network, Virtual machine, Resource (disambiguation), Tree (set theory), Operating system, Mathematics, Artificial intelligence, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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16Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 7, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.to | 16, 57, 81, 120, 152, 185 |
| abstract_inverted_index.One | 51 |
| abstract_inverted_index.PMs | 167 |
| abstract_inverted_index.The | 154 |
| abstract_inverted_index.VMs | 163, 188 |
| abstract_inverted_index.VNs | 91 |
| abstract_inverted_index.and | 192 |
| abstract_inverted_index.are | 144, 164 |
| abstract_inverted_index.can | 204 |
| abstract_inverted_index.for | 6, 112 |
| abstract_inverted_index.set | 31 |
| abstract_inverted_index.the | 3, 7, 13, 17, 37, 40, 53, 59, 64, 67, 74, 83, 93, 99, 113, 122, 125, 129, 136, 150, 157, 162, 175, 187, 194, 201 |
| abstract_inverted_index.(VN) | 27 |
| abstract_inverted_index.data | 115 |
| abstract_inverted_index.form | 23 |
| abstract_inverted_index.from | 92 |
| abstract_inverted_index.goal | 119 |
| abstract_inverted_index.into | 146 |
| abstract_inverted_index.less | 71 |
| abstract_inverted_index.onto | 39, 73, 128 |
| abstract_inverted_index.over | 206 |
| abstract_inverted_index.send | 12 |
| abstract_inverted_index.show | 199 |
| abstract_inverted_index.such | 62 |
| abstract_inverted_index.that | 63, 161, 200 |
| abstract_inverted_index.(CSP) | 21 |
| abstract_inverted_index.(VM). | 35 |
| abstract_inverted_index.(VNE) | 49 |
| abstract_inverted_index.Cloud | 1, 18 |
| abstract_inverted_index.aware | 106 |
| abstract_inverted_index.bring | 70 |
| abstract_inverted_index.known | 45 |
| abstract_inverted_index.links | 141 |
| abstract_inverted_index.major | 54 |
| abstract_inverted_index.novel | 104 |
| abstract_inverted_index.order | 184 |
| abstract_inverted_index.other | 173, 207 |
| abstract_inverted_index.taken | 145 |
| abstract_inverted_index.time. | 196 |
| abstract_inverted_index.while | 148 |
| abstract_inverted_index.would | 69 |
| abstract_inverted_index.(PMs), | 139 |
| abstract_inverted_index.beauty | 155 |
| abstract_inverted_index.center | 116 |
| abstract_inverted_index.design | 95 |
| abstract_inverted_index.handle | 82 |
| abstract_inverted_index.impact | 72, 123, 132 |
| abstract_inverted_index.number | 88 |
| abstract_inverted_index.opting | 5 |
| abstract_inverted_index.reduce | 121 |
| abstract_inverted_index.users' | 75, 90 |
| abstract_inverted_index.words, | 174 |
| abstract_inverted_index.Failure | 105 |
| abstract_inverted_index.Network | 26, 47 |
| abstract_inverted_index.Service | 19 |
| abstract_inverted_index.Virtual | 25 |
| abstract_inverted_index.account | 147 |
| abstract_inverted_index.devices | 143 |
| abstract_inverted_index.failure | 65, 127, 134 |
| abstract_inverted_index.growing | 87 |
| abstract_inverted_index.in\nthe | 22 |
| abstract_inverted_index.issues, | 102 |
| abstract_inverted_index.manner. | 171 |
| abstract_inverted_index.network | 43, 117 |
| abstract_inverted_index.process | 85 |
| abstract_inverted_index.reduces | 193 |
| abstract_inverted_index.servers | 182 |
| abstract_inverted_index.tenants | 4 |
| abstract_inverted_index.Fat-Tree | 114 |
| abstract_inverted_index.Machines | 138 |
| abstract_inverted_index.Physical | 137 |
| abstract_inverted_index.Provider | 20 |
| abstract_inverted_index.allocate | 58 |
| abstract_inverted_index.assigned | 165 |
| abstract_inverted_index.both\nof | 98 |
| abstract_inverted_index.executed | 178 |
| abstract_inverted_index.existing | 41, 130 |
| abstract_inverted_index.multiple | 180 |
| abstract_inverted_index.physical | 42, 60, 140, 181 |
| abstract_inverted_index.problem. | 50 |
| abstract_inverted_index.proposed | 111, 158, 202 |
| abstract_inverted_index.research | 55, 101 |
| abstract_inverted_index.resource | 14, 126 |
| abstract_inverted_index.service. | 76 |
| abstract_inverted_index.(FSC-VNE) | 108 |
| abstract_inverted_index.Embedding | 36, 48 |
| abstract_inverted_index.Extensive | 197 |
| abstract_inverted_index.algorithm | 94, 109, 159, 203 |
| abstract_inverted_index.challenge | 79 |
| abstract_inverted_index.embedding | 84, 195 |
| abstract_inverted_index.resources | 61, 151 |
| abstract_inverted_index.with\nthe | 118 |
| abstract_inverted_index.Computing, | 2 |
| abstract_inverted_index.allocating | 149 |
| abstract_inverted_index.consisting | 28 |
| abstract_inverted_index.outperform | 205 |
| abstract_inverted_index.the\nmajor | 78 |
| abstract_inverted_index.Considering | 97 |
| abstract_inverted_index.as\nVirtual | 46 |
| abstract_inverted_index.the\nusers. | 153 |
| abstract_inverted_index.users.\nThe | 131 |
| abstract_inverted_index.and\nnetwork | 142 |
| abstract_inverted_index.of\nincoming | 89 |
| abstract_inverted_index.requirements | 15 |
| abstract_inverted_index.Additionally, | 77 |
| abstract_inverted_index.to\ndifferent | 166 |
| abstract_inverted_index.Infrastructure | 8 |
| abstract_inverted_index.challenges\nis | 56 |
| abstract_inverted_index.point-of-view. | 96 |
| abstract_inverted_index.Service\n(IaaS) | 11 |
| abstract_inverted_index.above-mentioned | 100 |
| abstract_inverted_index.inter-connected | 33 |
| abstract_inverted_index.semi-centralized | 170 |
| abstract_inverted_index.Virtual\nMachines | 34 |
| abstract_inverted_index.VNE\nalgorithms.\n | 208 |
| abstract_inverted_index.concurrently\nembed | 186 |
| abstract_inverted_index.physical\nresources | 68 |
| abstract_inverted_index.simulation\nresults | 198 |
| abstract_inverted_index.embedding\nalgorithm | 176 |
| abstract_inverted_index.Semi-Centralized\nVNE | 107 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.87468454 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |