Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Wireless powered mobile edge computing networks: A survey
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …
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 …
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …
intensive applications but they only have limited resources, including CPU, memory, battery …
A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …
driving cloud computing as a dominant computing paradigm. However, the dramatically …
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …
paradigm to enhance the data processing capability of low-power networks, such as …
A DRL agent for jointly optimizing computation offloading and resource allocation in MEC
This article studies the joint optimization problem of computation offloading and resource
allocation (JCORA) in mobile-edge computing (MEC). Deep reinforcement learning (DRL) is …
allocation (JCORA) in mobile-edge computing (MEC). Deep reinforcement learning (DRL) is …