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Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey
Internet of Things (IoT) is made up with growing number of facilities, which are digitalized to have sensing, networking and computing capabilities....
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An optimized environment-adaptive computation offloading strategy for real-time cross-camera task in edge computing networks
With the large-scale establishment of cross-camera networks, edge computing plays an important role in real-time tasks with its abundant edge...
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Performance research on a task offloading strategy in a two-tier edge structure-based MEC system
With the rapid development for the technology of Mobile edge computing (MEC), tasks tend to be more diversified and personalized, but fewer scholars...
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CoTask: Correlation-aware task offloading in edge computing
In this paper, we first study the problem of Correlation-aware Task computation offloading (CoTask) in mobile edge computing. Specifically,...
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Task offloading in Internet of Things based on the improved multi-objective aquila optimizer
The Internet of Things (IoT) is a network of tens of billions of physical devices that are all connected to each other. These devices often have...
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An intelligent approach of task offloading for dependent services in Mobile Edge Computing
With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing the heavy workload at the multi-cloud...
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Reinforcement learning based task offloading of IoT applications in fog computing: algorithms and optimization techniques
In recent years, fog computing has become a promising technology that supports computationally intensive and time-sensitive applications, especially...
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Computation offloading and heterogeneous task caching in MEC-enabled vehicular networks
Given the rapid growth of business types and the characteristics of delay-sensitive tasks in vehicular networks, vehicles’ computing power is...
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Cost Efficient Task Offloading for Delay Sensitive Applications in Fog Computing System
Fog computing has emerged as a promising solution to process tasks and computations generated by end devices. It enhances the quality of service for...
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Non-orthogonal multiple access-based MEC for energy-efficient task offloading in e-commerce systems
Mobile edge computing (MEC) reduces the latency for end users to access applications deployed at the edge by offloading tasks to the edge. With the...
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A multi-objective task offloading based on BBO algorithm under deadline constrain in mobile edge computing
The task offloading of mobile edge computing (MEC) is to find proper edge or cloud resources for the execution tasks to efficiently utilize resources...
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Energy Aware Effective Task Offloading Mechanism in Fog Computing
Fog computing has emerged as a promising paradigm for extending the capabilities of the cloud closer to the edge of the network, enabling efficient...
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Hybrid metaheuristics for selective inference task offloading under time and energy constraints for real-time IoT sensing systems
The recent widespread of AI-powered real-time applications necessitates the use of edge computing for inference task offloading. Power constrained...
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Air Quality Prediction and Multi-Task Offloading based on Deep Learning Methods in Edge Computing
The problem at hand is to effectively monitor air quality, which requires the computation of sensor data from multiple dimensions and locations....
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Task Offloading with Dual-Mode Switching in Multi-access Edge Computing
Task offloading is an important mechanism in edge computing that can reduce the execution latency and drop** rate of computation tasks. However,...
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Distributed Game-Theoretical D2D-Enabled Task Offloading in Mobile Edge Computing
Mobile edge computing (MEC) has been envisioned as a promising distributed computing paradigm where mobile users offload their tasks to edge nodes to...
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Energy consumption optimization through an intelligent task offloading prediction mechanism in vehicular fog networks
Intelligent applications in smart transportation necessitate substantial computational power and energy resources. Nevertheless, the constraints...
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Convex Optimization on Vehicular End–Edge–Cloud Cooperative Task Offloading
MEC is an effective paradigm in supporting computation-intensive applications. In vehicular networks, the MEC server is deployed at the roadside for...
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A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the quality of vehicular services and enhance the capabilities of...
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Sequenced Quantization RNN Offloading for Dependency Task in Mobile Edge Computing
Mobile edge computing (MEC) allows terminals to send tasks to adjacent edge servers for calculation to reduce the burden on terminals and task...