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Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification.

Adriana Mijuskovic1, Alessandro Chiumento1, Rob Bemthuis1

  • 1Department of Pervasive Systems, University of Twente, 7522 NB Enschede, The Netherlands.

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Summary
This summary is machine-generated.

Fog and edge computing offer efficient processing for time-sensitive Internet of Things (IoT) applications by processing data near the source. This review evaluates resource management techniques for cloud, fog, and edge environments, proposing an evaluation framework.

Keywords:
algorithm classificationcloud computingedge computingevaluation frameworkfog computingresource management

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Area of Science:

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

Background:

  • Cloud-based Internet of Things (IoT) processing can be inefficient for time-sensitive applications due to bandwidth demands.
  • Fog and edge computing paradigms process data closer to IoT end devices, addressing bandwidth and latency challenges.
  • Effective resource management is crucial for optimizing performance in cloud, fog, and edge IoT environments.

Purpose of the Study:

  • To review resource management techniques applicable to cloud, fog, and edge computing environments.
  • To establish an evaluation framework with metrics for resource management algorithms in these distributed computing paradigms.
  • To analyze current research contributions and identify challenges in IoT resource management.

Main Methods:

  • Systematic review of research papers focusing on resource management in cloud, fog, and edge computing.
  • Classification of existing research contributions to facilitate the development of an evaluation framework.
  • Analysis of resource management techniques including allocation, workload balancing, provisioning, scheduling, and Quality of Service (QoS).

Main Results:

  • An overview and analysis of various resource management techniques for cloud, fog, and edge IoT.
  • Identification of key research challenges in applying resource management to these environments.
  • A proposed structure for an evaluation framework to assess resource management algorithms.

Conclusions:

  • Resource management techniques offer significant opportunities for optimizing cloud, fog, and edge IoT systems.
  • The field of resource management for fog and edge computing is in its early stages of development.
  • Further research is needed to overcome existing barriers and fully realize the potential of these techniques.