Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN
In this article, we investigate a computing task scheduling problem in space-air-ground
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
A comprehensive survey on fog computing: State-of-the-art and research challenges
Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …
Resource management approaches in fog computing: a comprehensive review
In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …
that facilitate new interactions among things and humans to enhance the quality of life. With …
Survey of fog computing: Fundamental, network applications, and research challenges
M Mukherjee, L Shu, D Wang - IEEE Communications Surveys …, 2018 - ieeexplore.ieee.org
Fog computing is an emerging paradigm that extends computation, communication, and
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …