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IoT Clusters for Enhancing Multimedia Applications.

Jorge Coelho1,2, Luís Nogueira1

  • 1School of Engineering (ISEP), Polytechnic of Porto (IPP), 4249-015 Porto, Portugal.

Sensors (Basel, Switzerland)
|December 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a framework to utilize spare Internet of Things (IoT) device capacity for multimedia applications. The framework ensures desired quality of service (QoS) levels are met by leveraging unused IoT resources.

Keywords:
IoTQoS assuranceclusteringcomputational offloadingedge computingresource usage optimization

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Multimedia Systems

Background:

  • Multimedia applications demand significant computational resources, often exceeding the capacity of individual Internet of Things (IoT) devices.
  • Existing approaches struggle to meet stringent Quality of Service (QoS) requirements for multimedia tasks on distributed IoT systems.
  • The underutilization of spare processing power in many IoT devices represents a missed opportunity for enhanced application performance.

Purpose of the Study:

  • To present a novel framework for harnessing the spare capacity of IoT devices for clustered multimedia application execution.
  • To enable the cooperative execution of multimedia services by IoT device clusters while guaranteeing specific QoS parameters.
  • To offer a customizable framework where QoS dimensions can be adapted to diverse application scenarios.

Main Methods:

  • Development of a flexible framework to explore and allocate spare computational capacity across IoT devices.
  • Implementation of mechanisms to monitor and manage Quality of Service (QoS) dimensions within the IoT cluster.
  • Design of a clustered execution model for multimedia applications leveraging distributed IoT resources.

Main Results:

  • Demonstrated the feasibility of utilizing idle IoT device capacity for demanding multimedia tasks.
  • Validated that the proposed framework can maintain desired Quality of Service (QoS) levels for clustered applications.
  • Showcased the adaptability of the framework through the addition or removal of QoS dimensions.

Conclusions:

  • The proposed framework effectively leverages spare IoT device capacity for cooperative multimedia application execution.
  • Guaranteed Quality of Service (QoS) is achievable by intelligently distributing workloads across IoT clusters.
  • This approach offers a sustainable and efficient method for enhancing multimedia service delivery in IoT environments.