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On Auto-scaling and...
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Nguyen, Van-Giang,1989-Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),TietoEVRY Prod Dev Serv, Karlstad, Sweden; Le Quy Don Technical University, Vietnam
(författare)
On Auto-scaling and Load Balancing for User-plane Gateways in a Softwarized 5G Network
- Artikel/kapitelEngelska2021
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IEEE,2021
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LIBRIS-ID:oai:DiVA.org:kau-91656
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https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-91656URI
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Språk:engelska
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Sammanfattning på:engelska
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In the fifth generation (SG) mobile networks, the number of user-plane gateways has increased, and, in contrast to previous generations they can be deployed in a decentralized way and auto-scaled independently from their control-plane functions. Moreover, the performance of the user-plane gateways can be boosted with the adoption of advanced acceleration techniques such as Vector Packet Processing (VPP). However, the increased number of user-plane gateways has also made load balancing a necessity, something we find has so far received little attention. Moreover, the introduction of VPP poses a challenge to the design of the auto-scaling of user- plane gateways. In this paper, we address these two challenges by proposing a novel performance indicator for making better auto-scaling decisions, and by proposing three new dynamic load- balancing algorithms for the user plane of a VPP-based, softwarized SG network. The novel performance indicator is estimated based on the VPP vector rate and is used as a threshold for the auto-scaling process. The dynamic load-balancing algorithms take into account the number of bearers allocated for each user-plane gateway and their VPP vector rate. We validate and evaluate our proposed solution in a SG testbed. Our experiment results show that the scaling helps to reduce the packet latency for the user-plane traffic, and that our proposed load-balancing algorithms can give a better distribution of traffic load as compared to traditional static algorithms.
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Grinnemo, Karl-Johan,1968-Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)(Swepub:kau)karlgrin
(författare)
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Taheri, JavidKarlstads universitet,Institutionen för matematik och datavetenskap (from 2013)(Swepub:kau)javitahe
(författare)
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Forsman, JohanTietoEVRY Prod Dev Serv, Karlstad, Sweden.
(författare)
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Duc, Thang LeTietoEVRY Prod Dev Serv, Karlstad, Sweden
(författare)
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Brunström, Anna,1967-Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)(Swepub:kau)annabrun
(författare)
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Karlstads universitetInstitutionen för matematik och datavetenskap (from 2013)
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Proceedings of the 2021 17th International Conference on Network and Service Management: IEEE, s. 132-1389783903176362
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