Flexible Charging Using Edge Computing

Distribution of cloud computing capabilities at the edge of the mobile network addresses the requirements for reduced latency and more efficient usage of network resources. Opening the network edge for third parties enables rapid deployment of innovative applications. In this paper, capabilities for...

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Main Authors: Evelina Pencheva, Ivaylo Atanasov, Denitsa Velkova
Format: Article
Language:English
Published: FRUCT 2020-09-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
5g
Online Access:https://www.fruct.org/publications/fruct27/files/Pen.pdf
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spelling doaj-de9667ca5859471d9b602ee6b6781de12020-11-25T04:08:20ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-09-0127118619210.23919/FRUCT49677.2020.9211025Flexible Charging Using Edge ComputingEvelina Pencheva0Ivaylo Atanasov1Denitsa Velkova2Technical University of Sofia, BulgariaTechnical University of Sofia, BulgariaTechnical University of Sofia, BulgariaDistribution of cloud computing capabilities at the edge of the mobile network addresses the requirements for reduced latency and more efficient usage of network resources. Opening the network edge for third parties enables rapid deployment of innovative applications. In this paper, capabilities for open access to charging function at the mobile edge are studied. New API for online charging is developed which enable MEC system to collaboratively interact with network functions responsible for session management and real time charging. The proposed interfaces follow the adopted Representational State Transfer (REST) used to expose and access edge cloud services. The APIs are described by typical use cases, data model and information exchange, and resource structure. Implementation aspects related to modeling the charging application logic and charging status supported by the network are discussed.https://www.fruct.org/publications/fruct27/files/Pen.pdf5gmulti-access edge computingonline chargingrestful interfacesparallel processing
collection DOAJ
language English
format Article
sources DOAJ
author Evelina Pencheva
Ivaylo Atanasov
Denitsa Velkova
spellingShingle Evelina Pencheva
Ivaylo Atanasov
Denitsa Velkova
Flexible Charging Using Edge Computing
Proceedings of the XXth Conference of Open Innovations Association FRUCT
5g
multi-access edge computing
online charging
restful interfaces
parallel processing
author_facet Evelina Pencheva
Ivaylo Atanasov
Denitsa Velkova
author_sort Evelina Pencheva
title Flexible Charging Using Edge Computing
title_short Flexible Charging Using Edge Computing
title_full Flexible Charging Using Edge Computing
title_fullStr Flexible Charging Using Edge Computing
title_full_unstemmed Flexible Charging Using Edge Computing
title_sort flexible charging using edge computing
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2020-09-01
description Distribution of cloud computing capabilities at the edge of the mobile network addresses the requirements for reduced latency and more efficient usage of network resources. Opening the network edge for third parties enables rapid deployment of innovative applications. In this paper, capabilities for open access to charging function at the mobile edge are studied. New API for online charging is developed which enable MEC system to collaboratively interact with network functions responsible for session management and real time charging. The proposed interfaces follow the adopted Representational State Transfer (REST) used to expose and access edge cloud services. The APIs are described by typical use cases, data model and information exchange, and resource structure. Implementation aspects related to modeling the charging application logic and charging status supported by the network are discussed.
topic 5g
multi-access edge computing
online charging
restful interfaces
parallel processing
url https://www.fruct.org/publications/fruct27/files/Pen.pdf
work_keys_str_mv AT evelinapencheva flexiblechargingusingedgecomputing
AT ivayloatanasov flexiblechargingusingedgecomputing
AT denitsavelkova flexiblechargingusingedgecomputing
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