A Hybrid and Light Weight Metaheuristic Approach with Clustering for Multi-Objective Resource Scheduling and Application Placement in Fog Environment

Author:

Sabireen H,Venkataraman Neelanarayanan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference73 articles.

1. MeFoRE: Resource Estimation QoE based at Fog to Enhance QoS in IoT;Aazam,2016

2. Cloud-based smart waste management for smart cities;Aazam,2016

3. A review of fog computing and machine learning: Concepts, applications, challenges, and open issues;Abdulkareem;IEEE Access,2019

4. Multi-objective resource allocation for edge cloud based robotic workflow in smart factory;Afrin;Future generation computer systems,2019

5. Task scheduling approaches in fog computing: A systematic review;Alizadeh;International Journal of Communication Systems,2020

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