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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.

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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.

Keywords:
intelligent transportation systemsmobile cloudresource allocationvehicular cloud

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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.