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A survey on computation offloading modeling for edge computing
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …
storage facilities toward the edge of a network. This new computing paradigm opens up new …
Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …
applications, such as smart transportation and smart city, where massive devices are …
Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey
H Chen, W Qin, L Wang - Journal of Cloud Computing, 2022 - Springer
Abstract Internet of Things (IoT) is made up with growing number of facilities, which are
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …
MESON: A mobility-aware dependent task offloading scheme for urban vehicular edge computing
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …
Online optimal service selection, resource allocation and task offloading for multi-access edge computing: A utility-based approach
W Chu, P Yu, Z Yu, JCS Lui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing promises satisfactory user experience by offloading tasks to
the MEC server deployed at the network edge. However, since the MEC server is often …
the MEC server deployed at the network edge. However, since the MEC server is often …
Cloud resource scheduling with deep reinforcement learning and imitation learning
The cloud resource management belongs to the category of combinatorial optimization
problems, most of which have been proven to be NP-hard. In recent years, reinforcement …
problems, most of which have been proven to be NP-hard. In recent years, reinforcement …
MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
Edge computing and its role in Industrial Internet: Methodologies, applications, and future directions
Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …
work. It brings convenience to our society and sometimes requires real-time processing of …
Improved double deep Q network-based task scheduling algorithm in edge computing for Makespan optimization
Edge computing nodes undertake an increasing number of tasks with the rise of business
density. Therefore, how to efficiently allocate large-scale and dynamic workloads to edge …
density. Therefore, how to efficiently allocate large-scale and dynamic workloads to edge …
DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics
Abstract Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have
been found useful for operations such as smart city and disaster management. These …
been found useful for operations such as smart city and disaster management. These …