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Towards an Effective Service Allocation in Fog Computing.

Rayan A Alsemmeari1, Mohamed Yehia Dahab2, Badraddin Alturki1

  • 1Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces efficient methods for allocating Internet of Things (IoT) services to fog computing devices. The proposed techniques significantly reduce network communication and optimize fog resource utilization.

Keywords:
IoMTIoTcloud computingfog computingoptimizationservice allocation

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Internet of Things (IoT)

Background:

  • The Internet of Things (IoT) generates vast amounts of data, necessitating diverse services with varying requirements for capacity, quality, and latency.
  • Fog computing devices, used for processing IoT data, have limitations in power and bandwidth compared to cloud resources.
  • Optimal service placement (fog, cloud, or hybrid) is a key challenge in IoT architectures to meet diverse service demands efficiently.

Purpose of the Study:

  • To propose an efficient allocation technique for IoT services within fog computing environments.
  • To optimize the placement of devices and services to enhance resource utilization in IoT architectures.
  • To investigate methods for effective service-to-device assignment and resource management in fog computing.

Main Methods:

  • Development of priority-based service allocation (PSA) and sort-based service allocation (SSA) techniques.
  • Focus on moving processing closer to the network's fog layer for reduced latency and improved efficiency.
  • Evaluation of optimal device and service allocation strategies to maintain resource utilization.

Main Results:

  • A significant reduction in data communication over the network by 88% through localized fog service allocation.
  • An increase in the distribution of services to fog devices by 96%.
  • Minimization of resource wastage on fog computing devices.

Conclusions:

  • The proposed service allocation techniques effectively address the challenge of optimal service placement in IoT fog computing.
  • Localized service processing in the fog leads to substantial reductions in network traffic and improved resource efficiency.
  • The methods enhance the overall performance and resource management of IoT architectures.