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FORESAM-FOG Paradigm-Based Resource Allocation Mechanism for Vehicular Clouds.
Rickson Pereira1, Azzedine Boukerche2, Marco A C da Silva3
1Department of Computer Science, São Paulo State University-UNESP, São José do Rio Preto 15054-000, Brazil.
Sensors (Basel, Switzerland)
|August 10, 2021
Summary
This study introduces FORESAM, a novel resource management mechanism for Intelligent Transport Systems (ITS). FORESAM enhances vehicular cloud resource allocation, improving service delivery and reducing discarded requests in dynamic urban environments.
Area of Science:
- Computer Science
- Transportation Engineering
- Network Management
Background:
- Intelligent Transport Systems (ITS) aim to improve transportation efficiency and safety.
- Mobile cloud computing offers potential for ITS resource management.
- Vehicular networks present unique challenges like high mobility and dynamic topology for resource allocation.
Purpose of the Study:
- To propose FORESAM, a mechanism for managing and allocating vehicular cloud resources in urban ITS.
- To address the challenges of resource allocation in dynamic vehicular networks.
Main Methods:
- Developed FORESAM, a resource management mechanism utilizing a set of FOG nodes.
- Employed a Multiple Attribute Decision mathematical model for accurate resource allocation.
- Simulated the proposed mechanism in an urban vehicular environment.
Main Results:
- The FORESAM mechanism successfully increased the number of served services.
- Demonstrated a reduction in service "locks" due to improved accuracy.
- Achieved more balanced resource allocation, leading to fewer discarded services.
Conclusions:
- FORESAM provides an effective solution for vehicular cloud resource management in ITS.
- The proposed mechanism enhances service delivery and resource utilization in dynamic environments.
- The Multiple Attribute Decision model contributes to more accurate and efficient resource allocation.
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