FedServ: Federated Task Service in Fog-Enabled Internet of Vehicles

In this paper, we present FedServ, a federated task service system for fog-enabled Internet of vehicles (IoV), using which we aim to minimize the delay of vehicle task service. FedServ considers different task service requirements such as delay, computation-intensiveness, processing units required,...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2022-11, Vol.23 (11), p.20943-20952
Main Authors: Tiwari, Minu, Maity, Ilora, Misra, Sudip
Format: Article
Language:English
Subjects:
Cloud computing
coalition game
decision-making
Delay
Delays
Energy consumption
Fog computing
Games
Internet of Vehicles
Quality of service
Resource management
resource-utilization
Task analysis
Task complexity
task offloading
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Summary:In this paper, we present FedServ, a federated task service system for fog-enabled Internet of vehicles (IoV), using which we aim to minimize the delay of vehicle task service. FedServ considers different task service requirements such as delay, computation-intensiveness, processing units required, and energy consumption. The existing literature mainly focuses on the delay requirement of tasks and considers the energy consumption for task processing, whereas FedServ aims to achieve the Quality of Service (QoS) of the task while optimizing different resource requirements for task service. FedServ provisions the federated task service by fragmenting the tasks, which minimizes the task complexity while preserving task fragment dependency. To determine the suitable fog nodes for task fragment service, we formulate the problem as a coalition graph game. Analytical results depict that the proposed scheme minimizes the delay of the task service and the energy consumption while reducing the number of QoS violated tasks by 34.32%, 25.32%, and 22.78% compared to the existing schemes.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2022.3186401