AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Fog computing: Survey of trends, architectures, requirements, and research directions
Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …
computation for real-time application processing. In IoT environments, connected things …
Resource management in fog/edge computing: a survey on architectures, infrastructure, and algorithms
Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …
decentralized resources at the edge of a network for processing data closer to user devices …
Dynamic scheduling for stochastic edge-cloud computing environments using a3c learning and residual recurrent neural networks
The ubiquitous adoption of Internet-of-Things (IoT) based applications has resulted in the
emergence of the Fog computing paradigm, which allows seamlessly harnessing both …
emergence of the Fog computing paradigm, which allows seamlessly harnessing both …
Fog computing: A taxonomy, systematic review, current trends and research challenges
There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …
nodes and devices in our daily life in recent times. With this increase in the number of …