Resource Allocation for Fog Enhanced Vehicular Services
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Vehicular Ad hoc Networks mainly depends on the cloud computing for the services like storage, computing and networking. With the increase in the number of vehicles connected to the cloud, the problems like network congestion and increased delay arises. Thus, to solve such issues new technology is proposed i.e. fog computing. Fog Enhanced Vehicular Services (FEVS) provides the resources for computing, storage etc. for the vehicles but at the edge of the network. The proposed algorithms are simulated using the cloudsim and cloud reports tools, results are analyzed and compared using the cloud analysts tool. Better resource utilization is achieved for the proposed algorithm compared to other algorithms. FEVS model proves to be better than a cloud-only model. Proposed algorithm produces less latency, less response time, low Virtual Machine cost and percentage of utilization of resources is more compared to the cloud-only model.
KeywordsCloud computing Fog computing VANET Fog enhanced vehicular services Resource allocation and game theory
The authors thank AICTE for the support and the college for doing the work. The work is funded by AICTE grant for carrying out the project “Resource Management in Internet of Things” Ref. No. File No. 8-40/RIFD/RPS/POLICY-1/2017-18 dated August 02, 2017.
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