Paper Info
Title
Resource Management in SDN-VANETs Using Fuzzy Logic: Effect of Data Complexity on Coordination of Cloud-Fog-Edge Resources
Abstract
Vehicular Ad hoc Networks (VANETs) face several technical challenges in deployment and management due to poor scalability, flexibility, connectivity and lack of intelligence. The integration of Cloud, Fog and Edge Computing in VANETs together with the use of Software Defined Networking (SDN) are seen as a way to cope with these communication challenges. In this work, we propose a fuzzy-based system for coordination and management of the cloud-fog-edge resources in SDN-VANETs. The proposed system called Fuzzy-based System for Resource Management (FSRM) decides the appropriate resources to be used by a vehicle in a cloud-fog-edge layered architecture. If a task requires computing resources that are beyond of those of the vehicle, based on the decision of FSRM, the vehicle can use the resources of its neighbors, fog or cloud servers. The decision is made by considering the task requirements in terms of latency constrains and complexity, and the available connections of the vehicle. We demonstrate by simulations the feasibility of FSRM to improve the management of the network resources.
Year
DOI
Venue
2020
10.1007/978-3-030-50454-0_52
COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS
DocType
Volume
ISSN
Conference
1194
2194-5357
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Ermioni Qafzezi128.13
Kevin Bylykbashi21415.87
Makoto Ikeda31202207.10
Keita Matsuo421255.01
Leonard Barolli52178333.62
Makoto Takizawa63180440.50