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Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …
tight 5G requirements have generated new challenges for designing network infrastructures …
Pathway towards the commercialization of sustainable microbial fuel cell-based wastewater treatment technologies
Microbial fuel cells (MFCs) have emerged and implemented as eco-friendly technologies
with the potential for simultaneous removal of contaminants from (waste) waters and …
with the potential for simultaneous removal of contaminants from (waste) waters and …
Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach
As an emerging service architecture, microservice enables decomposition of a monolithic
web service into a set of independent lightweight services which can be executed …
web service into a set of independent lightweight services which can be executed …
Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …
resources for achieving the Internet of Things. It brings computation to the network edge in …
Multiagent deep reinforcement learning for joint multichannel access and task offloading of mobile-edge computing in industry 4.0
Industry 4.0 aims to create a modern industrial system by introducing technologies, such as
cloud computing, intelligent robotics, and wireless sensor networks. In this article, we …
cloud computing, intelligent robotics, and wireless sensor networks. In this article, we …
Classification of optimization problems in fog computing
J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …
network edge to offer computational offloading possibilities to end devices, featuring low …
Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions
With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
Energy-efficient resource allocation for blockchain-enabled industrial Internet of Things with deep reinforcement learning
Industrial Internet of Things (IIoT) has emerged with the developments of various
communication technologies. In order to guarantee the security and privacy of massive IIoT …
communication technologies. In order to guarantee the security and privacy of massive IIoT …
Optimal cooperative offloading scheme for energy efficient multi-access edge computation
The distributed cooperative offloading technique with wireless setting and power
transmission provides a possible solution to meet the requirements of next-generation Multi …
transmission provides a possible solution to meet the requirements of next-generation Multi …
State-of-the-art device-to-device communication solutions
In recent years, with the spread of IoT services and the amount of data on the network, the
importance of D2D communications has emerged in unloading the network, reducing data …
importance of D2D communications has emerged in unloading the network, reducing data …