Please use this identifier to cite or link to this item:
https://hdl.handle.net/10321/5120
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Molefe, Mlungisi | en_US |
dc.contributor.author | Sibiya, Khulekani | en_US |
dc.contributor.author | Nleya, Bakhe | en_US |
dc.contributor.editor | Smuts, Martin | - |
dc.contributor.editor | Taute, Anton | - |
dc.date.accessioned | 2024-02-13T06:59:32Z | - |
dc.date.available | 2024-02-13T06:59:32Z | - |
dc.date.issued | 2023-09-01 | - |
dc.identifier.citation | Molefe, M., Sibiya, K. and Nleya, B. 2023.Resources allocation for hybrid cloud-edge computing in 5G network slicing. 2023 SATNAC Proceedings. Presented at: Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2023. 1(1): 137-143 (7). | en_US |
dc.identifier.isbn | 978-0-7961-1044-2 | - |
dc.identifier.uri | https://hdl.handle.net/10321/5120 | - |
dc.description.abstract | In typical heterogeneous networks such as 5G and beyond, innovative technologies such as edge computing and network slicing can enhance overall network performance in terms of handling critical mission services as they often require extremely low latencies. Notably, network slicing facilitates the provisioning of virtual slices with different characteristics to serve different end-user requirements. The Network operator achieves this goal by utilizing the already existing physical wireless network resource. Current resource provisioning schemes suffer inadequacies in scalability and flexibility Thus to support both Cloud and Edge Computing in 5G and beyond networking, the work herein proposes a novel low latency scheme that affords dynamic and intelligent allocation of multi-dimensional resources. It bases on a Hybrid Cloud-edge Network Slicing (HCENS) architecture on leveraging both Cloud and Edge Computing The proposed scheme creates a flexible, scalable as well as energy efficient resource provisioning. Its architecture comprises both centralized units (CUs) and distributed units (DUs). These provide storage, that in turn enhances function partitioning for various network slices. Several agent-based simulations scenarios are carried out in evaluating the efficacy of the proposed scheme. Obtained analytical and simulation results indicate drastic reductions in network latencies for critical mission end user services. This couples with reductions in storage requirements. | en_US |
dc.format.extent | 7 p | en_US |
dc.language.iso | en | en_US |
dc.publisher | TELKOM | en_US |
dc.subject | Network slicing | en_US |
dc.subject | Edge computing | en_US |
dc.subject | Cloud | en_US |
dc.subject | Latency | en_US |
dc.subject | 5G | en_US |
dc.subject | Resources allocation | en_US |
dc.title | Resources allocation for hybrid cloud-edge computing in 5G network slicing | en_US |
dc.type | Conference | en_US |
dc.date.updated | 2024-02-10T06:13:39Z | - |
dc.publisher.uri | https://satnac.org.za/proceedings | en_US |
dcterms.dateAccepted | 2023-5-18 | - |
dc.relation.conference | Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2023 | en_US |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference | - |
Appears in Collections: | Research Publications (Engineering and Built Environment) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Molefe_Sibiya_Nleya_2023.pdf | 4.18 MB | Adobe PDF | View/Open |
Page view(s)
153
checked on Dec 13, 2024
Download(s)
51
checked on Dec 13, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.