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Flow Management with Differentiated Classes of Service and Quality of Experience
- Source :
- Journal of Computer Networks and Communications, Vol 2020 (2020), Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
- Publication Year :
- 2020
- Publisher :
- Hindawi Limited, 2020.
-
Abstract
- Recently, mobile networks have been overloaded with a considerable amount of data traffic. This paper proposes a brokerage service for mobile environments, using policies and quality metrics and ensuring better usage of network resources with more fine-grained management based on flows, and expands previous work (Silva, et al.) with the novel addition of differentiated classes of service. A closed innovative control loop included in a flexible brokerage service in the network, as well as agents at the mobile terminals, detects and counteracts an abnormal data load in any access technology. This allows the terminals to make well-informed decisions about their connections to improve the number of connected flows per technology and the individual service level offered to each flow. Simulation results indicate that the current proposed management solution optimizes the usage of available 4G/5G network resources among a high number of flows in several usage scenarios where the technologies are extremely overloaded, while at the same time, protecting the higher classes of service. info:eu-repo/semantics/publishedVersion
- Subjects :
- Service (systems architecture)
Article Subject
Computer Networks and Communications
Computer science
business.industry
media_common.quotation_subject
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática [Domínio/Área Científica]
020206 networking & telecommunications
QA75.5-76.95
02 engineering and technology
Work (electrical)
Electronic computers. Computer science
Service level
Control system
Flow management
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Quality (business)
Quality of experience
business
5G
Information Systems
media_common
Computer network
Subjects
Details
- ISSN :
- 2090715X and 20907141
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Networks and Communications
- Accession number :
- edsair.doi.dedup.....387f09e2be3daac5f19405699acab5a9
- Full Text :
- https://doi.org/10.1155/2020/7928903