Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility Article Swipe
Syed Danial Ali Shah
,
Mark Gregory
,
Shuo Li
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.22590064.v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.22590064.v1
Network slicing is a key enabler for 5G and beyond networks that permits operators to provide scalable, flexible, and dedicated networks over a common physical infrastructure. To cope with the rising demand for Ultra-Reliable and Low-Latency Communication (URLLC) in beyond 5G networks, the provision of dedicated secure networks closer to the users is essential. Multi-access Edge Computing (MEC) is a promising technology that provides data and computational resources closer to mobile users. However, MEC servers are resource-constrained, and offering dedicated service-specific network slices at the edge in a highly dynamic and mobile environment is challenging. Network slicing and MEC are being evolved by two different standardization bodies that limit their integration and raise mobility challenges that deserve more attention. We propose a cloud-native microservices architecture for network slice mobility management in MEC that permits each MEC slice to be distributed as stateless and independently deployable microservices. The proposal separates the MEC slice operational data and the user context, as each network function in an MEC slice stores the context in a separate shared database. The proposed architecture leverages new SDN extended federation modules in compliance with the ETSI requirements for inter-MEC system coordination. The federation modules support a more flexible and scalable creation of network slices at MEC servers, efficient resource utilization, and mobility of network slices across MEC servers. The simulation results show that our proposed architecture outperforms the existing SDN-based approaches for network slicing in MEC by achieving high slice acceptance rates and reduced slice migration delay.
Related Topics
Concepts
Computer science
Mobile edge computing
Server
Computer network
Distributed computing
Cloud computing
Slicing
Scalability
Microservices
Edge computing
Context (archaeology)
Network architecture
Cellular network
Radio access network
Operating system
Base station
Mobile station
Paleontology
World Wide Web
Biology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.22590064.v1
- OA Status
- gold
- Cited By
- 3
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4365139758
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4365139758Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36227/techrxiv.22590064.v1Digital Object Identifier
- Title
-
Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice MobilityWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-04-12Full publication date if available
- Authors
-
Syed Danial Ali Shah, Mark Gregory, Shuo LiList of authors in order
- Landing page
-
https://doi.org/10.36227/techrxiv.22590064.v1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.36227/techrxiv.22590064.v1Direct OA link when available
- Concepts
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Computer science, Mobile edge computing, Server, Computer network, Distributed computing, Cloud computing, Slicing, Scalability, Microservices, Edge computing, Context (archaeology), Network architecture, Cellular network, Radio access network, Operating system, Base station, Mobile station, Paleontology, World Wide Web, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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41Number 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.bodies | 106 |
| abstract_inverted_index.closer | 48, 68 |
| abstract_inverted_index.common | 23 |
| abstract_inverted_index.demand | 31 |
| abstract_inverted_index.highly | 88 |
| abstract_inverted_index.mobile | 70, 91 |
| abstract_inverted_index.rising | 30 |
| abstract_inverted_index.secure | 46 |
| abstract_inverted_index.shared | 172 |
| abstract_inverted_index.slices | 82, 205, 216 |
| abstract_inverted_index.stores | 166 |
| abstract_inverted_index.system | 191 |
| abstract_inverted_index.users. | 71 |
| abstract_inverted_index.(URLLC) | 37 |
| abstract_inverted_index.Network | 95 |
| abstract_inverted_index.context | 168 |
| abstract_inverted_index.deserve | 116 |
| abstract_inverted_index.dynamic | 89 |
| abstract_inverted_index.enabler | 5 |
| abstract_inverted_index.evolved | 101 |
| abstract_inverted_index.modules | 182, 195 |
| abstract_inverted_index.network | 81, 126, 160, 204, 215, 234 |
| abstract_inverted_index.permits | 12, 133 |
| abstract_inverted_index.propose | 120 |
| abstract_inverted_index.provide | 15 |
| abstract_inverted_index.reduced | 245 |
| abstract_inverted_index.results | 222 |
| abstract_inverted_index.servers | 74 |
| abstract_inverted_index.slicing | 1, 96, 235 |
| abstract_inverted_index.support | 196 |
| abstract_inverted_index.However, | 72 |
| abstract_inverted_index.context, | 157 |
| abstract_inverted_index.creation | 202 |
| abstract_inverted_index.existing | 230 |
| abstract_inverted_index.extended | 180 |
| abstract_inverted_index.flexible | 199 |
| abstract_inverted_index.function | 161 |
| abstract_inverted_index.mobility | 113, 128, 213 |
| abstract_inverted_index.networks | 10, 20, 47 |
| abstract_inverted_index.offering | 78 |
| abstract_inverted_index.physical | 24 |
| abstract_inverted_index.proposal | 147 |
| abstract_inverted_index.proposed | 175, 226 |
| abstract_inverted_index.provides | 63 |
| abstract_inverted_index.resource | 210 |
| abstract_inverted_index.scalable | 201 |
| abstract_inverted_index.separate | 171 |
| abstract_inverted_index.servers, | 208 |
| abstract_inverted_index.servers. | 219 |
| abstract_inverted_index.Computing | 56 |
| abstract_inverted_index.SDN-based | 231 |
| abstract_inverted_index.achieving | 239 |
| abstract_inverted_index.database. | 173 |
| abstract_inverted_index.dedicated | 19, 45, 79 |
| abstract_inverted_index.different | 104 |
| abstract_inverted_index.efficient | 209 |
| abstract_inverted_index.flexible, | 17 |
| abstract_inverted_index.inter-MEC | 190 |
| abstract_inverted_index.leverages | 177 |
| abstract_inverted_index.migration | 247 |
| abstract_inverted_index.networks, | 41 |
| abstract_inverted_index.operators | 13 |
| abstract_inverted_index.promising | 60 |
| abstract_inverted_index.provision | 43 |
| abstract_inverted_index.resources | 67 |
| abstract_inverted_index.scalable, | 16 |
| abstract_inverted_index.separates | 148 |
| abstract_inverted_index.stateless | 141 |
| abstract_inverted_index.acceptance | 242 |
| abstract_inverted_index.approaches | 232 |
| abstract_inverted_index.attention. | 118 |
| abstract_inverted_index.challenges | 114 |
| abstract_inverted_index.compliance | 184 |
| abstract_inverted_index.deployable | 144 |
| abstract_inverted_index.essential. | 53 |
| abstract_inverted_index.federation | 181, 194 |
| abstract_inverted_index.management | 129 |
| abstract_inverted_index.simulation | 221 |
| abstract_inverted_index.technology | 61 |
| abstract_inverted_index.Low-Latency | 35 |
| abstract_inverted_index.distributed | 139 |
| abstract_inverted_index.environment | 92 |
| abstract_inverted_index.integration | 110 |
| abstract_inverted_index.operational | 152 |
| abstract_inverted_index.outperforms | 228 |
| abstract_inverted_index.Multi-access | 54 |
| abstract_inverted_index.architecture | 124, 176, 227 |
| abstract_inverted_index.challenging. | 94 |
| abstract_inverted_index.cloud-native | 122 |
| abstract_inverted_index.requirements | 188 |
| abstract_inverted_index.utilization, | 211 |
| abstract_inverted_index.Communication | 36 |
| abstract_inverted_index.computational | 66 |
| abstract_inverted_index.coordination. | 192 |
| abstract_inverted_index.independently | 143 |
| abstract_inverted_index.microservices | 123 |
| abstract_inverted_index.Ultra-Reliable | 33 |
| abstract_inverted_index.microservices. | 145 |
| abstract_inverted_index.infrastructure. | 25 |
| abstract_inverted_index.standardization | 105 |
| abstract_inverted_index.<p>Network | 0 |
| abstract_inverted_index.delay.</p> | 248 |
| abstract_inverted_index.service-specific | 80 |
| abstract_inverted_index.resource-constrained, | 76 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5400000214576721 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.69211404 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |