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The Impact of Wireless Channel on the Performance of Computation Offloading in Fog Computing for Online Gaming Applications
The growing popularity of online games has led to significant attention being paid to the satisfaction of their audiences, especially in terms of...
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Collaborative Offloading Strategy for Dependent Tasks in Mobile Edge Computing
Mobile edge computing offloads computing-intensive applications from resource-constrained terminal devices to adjacent edge servers to meet users’...
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Online computation offloading for deadline-aware tasks in edge computing
Edge computing provides task offloading services to extend the computational capacity of mobile users and reduce task latency. Prior studies mainly...
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Joint optimization of energy and delay for computation offloading in vehicular edge computing
With the advancement of information technology, Mobile Edge Computing (MEC) has been integrated into Vehicular Ad Hoc Networks (VANETs) to...
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MPSO: An Optimization Algorithm for Task Offloading in Cloud-Edge Aggregated Computing Scenarios for Autonomous Driving
With the development of cloud computing and edge computing technologies, these technologies have come to play a crucial role in the field of...
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Computing Offloading Decision Based on Multi-objective Immune Algorithm in Mobile Edge Computing Scenario
Mobile edge computing (MEC) technology enables mobile devices in communication network systems offloading tasks to edge servers, effectively reducing...
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Energy-Efficient joint Resource Allocation and Computation Offloading in NOMA-enabled Vehicular Fog Computing
The rapid growth in vehicle data fosters the development of vehicular computational offloading. By exploiting the superiority of non-orthogonal...
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Energy-efficient cooperative offloading for mobile edge computing
Mobile edge computing (MEC) has emerged as a promising paradigm to improve the energy efficiency for latency-constraint computation. This paper...
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Benefit-oriented task offloading in UAV-aided mobile edge computing: An approximate solution
Recently, adopting UAVs equipped with the edge computing platform to provide computing service has been considered as a promising approach for...
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Auto-scaling and computation offloading in edge/cloud computing: a fuzzy Q-learning-based approach
The fast growth of under develo** mobile applications in recent years has emerged a diversity of delay-sensitive applications such as multimedia...
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DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing
Task offloading solves the problem that the computing resources of terminal devices in hospitals are limited by offloading massive radiomics-based...
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Radial basis function networks-based resource-aware offloading video analytics in mobile edge computing
With the advancement of wireless networks, many mobile applications are becoming increasingly popular. These applications, which include real-time...
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Online computation offloading via deep convolutional feature map attention reinforcement learning and adaptive rewarding policy
Stability in queue characteristics with average power and maximized data processing is a prominent research issue in any networks. These should be...
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EALSO: joint energy-aware and latency-sensitive task offloading for artificial Intelligence of Things in vehicular fog computing
Artificial Intelligence of Things (AIoT) is an emerging field within the Internet of Things (IoT) that caters to the growing demand for intelligent...
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Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks
With the rapid development of innovative applications, lots of computation-intensive and delay-sensitive tasks are emerging. Task offloading, which...
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An Energy-Efficient Data Offloading Strategy for 5G-Enabled Vehicular Edge Computing Networks Using Double Deep Q-Network
In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data offloading strategies are essential. The complexities...
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Wireless edge device intelligent task offloading in mobile edge computing using hyper-heuristics
To overcome with the computation limitation of resource-constrained wireless IoT edge devices, providing an efficient task computation offloading and...
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Computation Offloading for Image Compression in Mobile Edge Computing Using a Deep Belief Network Based on the Markov Approximation Algorithm
The rising popularity of health-related wearables has increased the demand for computational offloading. Latency, battery life, and compute...
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Deep reinforcement learning based computation offloading for xURLLC services with UAV-assisted IoT-based multi-access edge computing system
New Internet of Things (IoT) based applications with stricter key performance indicators (KPI) such as round-trip delay, network availability, energy...
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A Joint Caching and Offloading Strategy Using Reinforcement Learning for Multi-access Edge Computing Users
The increasing adoption of UHD video applications in connected car mobile terminals is placing significant demands on the real-time processing...
