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Independent task scheduling algorithms in fog environments from users' and service providers' perspectives: a systematic review
Fog computing has been touted as a solution for the massive growth in the need for
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …
Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment
The fog computing paradigm is better for creating delay-sensitive applications in Internet of
Things (IoT). As the fog devices are resource constrained, the deployment of diversified IoT …
Things (IoT). As the fog devices are resource constrained, the deployment of diversified IoT …
Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient In Fog Computing
The rapidly increasing complexity of Internet of Things applications and the exponential
growth in data generation pose significant challenges in terms of latency and network …
growth in data generation pose significant challenges in terms of latency and network …
Efficient Task Scheduling and Load Balancing in Fog Computing for crucial Healthcare through Deep Reinforcement Learning
In healthcare, real-time decision making is crucial for ensuring timely and accurate patient
care. However, traditional computing infrastructures, with their wide ranging capabilities …
care. However, traditional computing infrastructures, with their wide ranging capabilities …
Analysis of effective resource scheduling optimization algorithms in IoT-fog-cloud environment
H Sharma, G Goel, A Ummat - Computational Methods in Science …, 2024 - taylorfrancis.com
The number of sensors and IoT devices has increased dramatically in last several years. In
recent years, the number of IoT devices and sensors has increased significantly. Solving the …
recent years, the number of IoT devices and sensors has increased significantly. Solving the …