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Resource allocation strategy in fog computing

Author

Listed:
  • Sharmila Patil-Karpe
  • S.H. Brahmananda

Abstract

The idea of fog computing enables the delivery of computational services and resources closer to the endpoints and users, at the network's edge. Due to the large number of devices, determining the best resource allocation in this situation is challenging. Accordingly, a unique resource allocation strategy for fog computing is suggested in this work. The resource allocation of fog computing is made possible by the modelling of a nonlinear functionality under the objective function comprising metrics like service response rate, execution time, make span, resource consumption, and reboot rate. The proposed approach also takes consideration for the allocation of resources in urgent scenarios that allow for quick resource distribution. Considering this as the optimisation problem, a new optimisation model termed as hybrid coati insisted beluga whale optimisation (HCIBWO) is introduced in this work. The performance of proposed work is evaluated over the conventional models in terms of different measures.

Suggested Citation

  • Sharmila Patil-Karpe & S.H. Brahmananda, 2025. "Resource allocation strategy in fog computing," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 50(2), pages 234-252.
    • Handle: RePEc:ids:ijisen:v:50:y:2025:i:2:p:234-252
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