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access icon free FRAC: a flexible resource allocation for vehicular cloud system

© The Institution of Engineering and Technology
Received 24/06/2020, Accepted 04/01/2021, Revised 03/12/2020, Published 27/01/2021

Vehicular cloud computing (VCC) is a promising technology for the intelligent transport system. It provides a better quality of transport and vehicular services that will increase the safety and comfort of drivers and passengers. A group of vehicles creates VCC and offers vehicular services for its users in the absence of infrastructure to support the system. The vehicles having computing, storage, communication, and sensing devices can share these resources with other vehicles. VCC creates a resource pool by aggregating all the shared resources of nearby vehicles. The major challenge for VCC is to manage the resources from different vehicles in a resource pool and to allocate necessary resources to its user on-demand. The authors propose a semi-Markov decision process based resource allocation method for the VCC system called flexible resource allocation for vehicular cloud system to manage and allocate the resources. The proposed method finds optimal resource allocation strategies for different states of the VCC system and maximises the long-term expected reward under different parameter settings.

Inspec keywords: cloud computing; Markov processes; optimisation; resource allocation

Other keywords: intelligent transport system; vehicular cloud computing; necessary resources; flexible resource allocation; VCC system; resource allocation method; vehicular cloud system; nearby vehicles; resource pool; optimal resource allocation strategies; shared resources; vehicular services

Subjects: Markov processes; Internet software; Markov processes; Operating systems; Mobile radio systems; Optimisation techniques; Data security

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