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 …
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …
from infrastructure to social media. Such system must cope with varying load and evolving …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
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 …
Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …
architecture, which can empower user equipments (UEs) with computation and energy …
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 …
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors
Healthcare is one of the most critical sectors due to its importance in handling public health.
With the outbreak of various diseases, more recently during Covid-19, this sector has gained …
With the outbreak of various diseases, more recently during Covid-19, this sector has gained …
Deep reinforcement learning for stochastic computation offloading in digital twin networks
The rapid development of industrial Internet of Things (IIoT) requires industrial production
towards digitalization to improve network efficiency. Digital Twin is a promising technology to …
towards digitalization to improve network efficiency. Digital Twin is a promising technology to …
Edge-computing-enabled smart cities: A comprehensive survey
Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …
smart cities. Such applications continuously generate enormous amounts of data which …