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This study introduces a holistic management framework for the cloud continuum, integrating fog and edge computing with cloud resources. Lessons from real-world industrial deployments highlight benefits for optimizing services in dynamic edge environments.

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Cloud Computing

Background:

  • The convergence of cloud, fog, and edge computing forms the cloud continuum, presenting new opportunities for service optimization.
  • Effective management of this continuum requires strategies that address edge characteristics like mobility, heterogeneity, and volatility.
  • Existing management approaches often fall short in coordinating resources across the entire edge-to-cloud spectrum.

Purpose of the Study:

  • To present a novel management framework for the cloud continuum.
  • To evaluate the framework's effectiveness through real-world deployment in industrial settings.
  • To share lessons learned from the deployment to aid future research and development.

Main Methods:

  • Development of a coordinated management solution for cloud continuum resources.
  • Real-world deployment and testing of the management framework in three distinct industrial scenarios.
  • Analysis of performance and challenges encountered during the deployment.

Main Results:

  • Demonstrated the feasibility and benefits of a holistic management approach for the cloud continuum.
  • Identified key challenges and practical considerations for managing heterogeneous and volatile edge resources.
  • Gained valuable insights into optimizing service execution across distributed cloud continuum environments.

Conclusions:

  • A unified management strategy is crucial for unlocking the full potential of the cloud continuum.
  • Real-world deployments provide essential feedback for refining cloud continuum management frameworks.
  • The presented approach offers a blueprint for developing robust and efficient cloud continuum management solutions.