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SLA-Based Service Provisioning Optimization in Vehicular Cloud Networks Using Fuzzy Logic

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Bibliographic Details
Title: SLA-Based Service Provisioning Optimization in Vehicular Cloud Networks Using Fuzzy Logic
Authors: Farhoud Jafari Kaleibar, Marc St-Hilaire
Source: IEEE Access, Vol 12, Pp 101727-101744 (2024)
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE), 2024.
Publication Year: 2024
Subject Terms: Vehicular network, service provisioning, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, service level agreement (SLA), cloud services, TK1-9971
Description: Vehicular Cloud Networks (VCNs) enable vehicles to act as servers and share their abundant computing and storage resources. However, resource allocation in VCNs faces challenges due to factors like service pricing, resource variability, and mobility. This paper proposes a comprehensive approach for service provisioning in VCNs to address key challenges of quality of service, availability, and fair pricing. First, a mathematical model that considers service provider mobility, data volume, delay, cost, and location suitability is formulated. A high-level controller oversees network-wide service management by using fuzzy logic and calculating fit factors between requests and providers. Finally, a tailored heuristic algorithm is proposed to solve the NP-hard optimization problem efficiently. Simulations demonstrate the approach’s effectiveness in maximizing allocation suitability under realistic VCN conditions.
Document Type: Article
ISSN: 2169-3536
DOI: 10.1109/access.2024.3430826
Access URL: https://doaj.org/article/8296252abb354066a94db56a112f700e
Rights: CC BY NC ND
Accession Number: edsair.doi.dedup.....3894cfe4293afeae8e598ba341c0a12c
Database: OpenAIRE
Description
Abstract:Vehicular Cloud Networks (VCNs) enable vehicles to act as servers and share their abundant computing and storage resources. However, resource allocation in VCNs faces challenges due to factors like service pricing, resource variability, and mobility. This paper proposes a comprehensive approach for service provisioning in VCNs to address key challenges of quality of service, availability, and fair pricing. First, a mathematical model that considers service provider mobility, data volume, delay, cost, and location suitability is formulated. A high-level controller oversees network-wide service management by using fuzzy logic and calculating fit factors between requests and providers. Finally, a tailored heuristic algorithm is proposed to solve the NP-hard optimization problem efficiently. Simulations demonstrate the approach’s effectiveness in maximizing allocation suitability under realistic VCN conditions.
ISSN:21693536
DOI:10.1109/access.2024.3430826