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A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing
2020
IEEE Access
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From a global perspective, an Internet of Vehicles task offloading solution based on mobile edge computing is proposed, which satisfies the application requirements (high reliability) strictly. ...
INDEX TERMS Internet of Vehicles, task offloading, heterogeneous wireless network architecture, mobile edge computing, combination auction, channel gain. 53262 VOLUME 8, 2020 ...
Some work only studied that tasks were offloaded to the edge server and proposed two task offloading models, namely, two-state offloading and partial task offloading models. ...
doi:10.1109/access.2020.2980567
fatcat:pbabgwfbcjenbimyuwg2lfwbje
Compound Model of Task Arrivals and Load-Aware Offloading for Vehicular Mobile Edge Computing Networks
2019
IEEE Access
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INDEX TERMS Mobile-edge computing, task arrival model, load-aware offloading, vehicular networks, load balance. I. ...
This paper elaborates the modeling of task arrival process and the influence of various offloading modes on computation cost. ...
computing [20] and mobile-edge computing [21] provide a new paradigm to offload computation from cloud to local fog servers (LFSs) or mobile-edge computing (MEC) servers. ...
doi:10.1109/access.2019.2901280
fatcat:y5xwhth5h5bxxlq2l3m3y66roe
Intelligent Pricing Model for Task Offloading in Unmanned Aerial Vehicle Mounted Mobile Edge Computing for Vehicular Network
2022
Journal of Communications Software and Systems
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In the fifth-generation (5G) cellular network, the Mobile Network Operator (MNO), and the Mobile Edge Computing (MEC) platform will play an important role in providing services to an increasing number ...
This paper proposes the use of dynamic pricing for computation offloading in UAV-MEC for vehicles. ...
Vehicles demand resources from the edge cloud to complete computation tasks, while the edge cloud must keep its available CPU cycles for computing the total offloaded data below its calculation capacity ...
doi:10.24138/jcomss-2021-0154
fatcat:wydd6zf2yrcxzgl7mhqmsk6f44
Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing
2018
2018 International Conference on High Performance Computing & Simulation (HPCS)
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This paper proposes a joint computation offloading and prioritized task scheduling scheme in a multi-user mobile-edge computing system. ...
We investigate an energy minimizing task offloading strategy in mobile devices and develop an effective priority-based task scheduling algorithm with edge server. ...
In this paper, we address issues of computation offloading and task scheduling in mobile-edge computing. ...
doi:10.1109/hpcs.2018.00157
dblp:conf/ieeehpcs/GaoM18
fatcat:ibn6ali7jzexrjmoxsmdlb64zu
Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks
2019
Algorithms
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Mobile Edge Computing (MEC) is an innovative technique, which can provide cloud-computing near mobile devices on the edge of networks. ...
In ABSO, we exploit an ARIMA-BP model for estimating computation capacity of the edge cloud, and then design a Selective Offloading Algorithm for obtaining offloading strategy. ...
Mobile Edge Cloud Computing If mobile device n choose to offload task k to the edge cloud, the process contains task transmission and task execution. ...
doi:10.3390/a12020048
fatcat:dguveun7cra2rl5bxz6pcpddtm
A Computational Offloading Method for Edge Server Computing and Resource Allocation Management
2021
Journal of Mathematics
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In this study, we proposed a model to evaluate the efficiency of the close-end network computation offloading in MEC. ...
For the remote computing solution, mobile devices (MDs) experience higher response time and delay of the network, which negatively affects the real-time mobile user applications. ...
computation tasks of mobile device to the mobile edge computing server [17] . ...
doi:10.1155/2021/3557059
fatcat:5oclhv5ycng4tfurxhv6mnpr6q
Computation Offloading Strategy for IoT Using Improved Particle Swarm Algorithm in Edge Computing
2022
Wireless Communications and Mobile Computing
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To address the problems of high energy consumption and time delay of the offloading strategies in traditional edge computing, a computation offloading strategy for the Internet of Things (IoT) using the ...
First, a system model and an optimization objective function are constructed based on the communication model for the uplink transmission and the multiuser personalized computation task load model while ...
Model of the System and Optimization Object
Model of the System. e analysis of the task offloading system model of mobile edge computing in multiuser scenario is performed in this section. ...
doi:10.1155/2022/9319136
fatcat:6o7vkvwabravpadtm6f5k4vere
Towards Computation Offloading in Edge Computing: A Survey
2019
IEEE Access
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Computation offloading plays a crucial role in edge computing in terms of network packets transmission and system responsiveness through dynamic task partitioning between cloud data centers and edge servers ...
In this paper a thorough literature review is conducted to reveal the state-of-the-art of computation offloading in edge computing. ...
In their model, time slices are distributed in a round-robin fashion to mobile users who need computation offloading. Therefore, offloading tasks have strict constraints on execution time. ...
doi:10.1109/access.2019.2938660
fatcat:qcpqojzxsnbsnmuez3x2ew4sqa
Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario
2021
Electronics
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Mobile edge computing (MEC) technology is an effective computing method that is used to solve this problem at the edge of network for multiple mobile users. ...
In addition, the vehicular communication simulation frameworks Veins, SUMO model and OMNeT++ are adopted to run the proposed task offloading strategy. ...
Prediction based sub-task offloading in mobile edge computing. ...
doi:10.3390/electronics10233038
fatcat:ih4zzkbiqbdypbzy6wzzhvyrke
Joint Social-Aware and Mobility-Aware Computation Offloading in Heterogeneous Mobile Edge Computing
2022
IEEE Access
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Fortunately, with the emergence of mobile edge computing (MEC), mobile devices can offload tasks to edge servers to efficiently solve the above problems. ...
With increasing computation-intensive tasks of various applications running on mobile devices, the limitation of computing resources and battery capacity on mobile devices makes it impossible to meet the ...
SYSTEM MODEL AND PROBLEM FORMULATION In this section, we first built a task model, task computing model, social relationship model, location correlation model, mobile activity model, and energy consumption ...
doi:10.1109/access.2022.3158319
fatcat:3z2bpx4rrvcxzlobdqjukxusvu
Computing Unloading Strategy of Massive Internet of Things Devices Based on Game Theory in Mobile Edge Computing
2021
Mathematical Problems in Engineering
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Due to the limited computing resources of the mobile edge computing (MEC) server, a massive Internet of things device computing unloading strategy using game theory in mobile edge computing is proposed ...
Based on the proposed beneficial task offload theory, combined with the mobile user device computing offload task amount, transmission rate, idle device performance, and other factors, the computing offload ...
in mobile edge computing [9] . ...
doi:10.1155/2021/2163965
doaj:9e6cbed44afa4b6b8cfb55005302e7e0
fatcat:3r4zj5jky5ayvglkkxmuhngdbq
An Offloading Algorithm based on Markov Decision Process in Mobile Edge Computing System
2022
North atlantic university union: International Journal of Circuits, Systems and Signal Processing
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In this paper, an offloading algorithm based on Markov Decision Process (MDP) is proposed to solve the multi-objective offloading decision problem in Mobile Edge Computing (MEC) system. ...
According to the policy, tasks of mobile terminals (MTs) are offloaded to the edge cloud or central cloud, or executed locally. ...
However, since the central cloud is far from users, the offloading delay of the tasks may not satisfy the requirement of users. To solve the problem, Mobile Edge Computing (MEC) is proposed. ...
doi:10.46300/9106.2022.16.15
fatcat:lq6f5pfwu5hbppwqhqiyigu4ai
Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues
2022
Mobile Information Systems
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Based on user behavior and demand, the computational tasks are first offloaded from mobile users to the mobile edge network and then executed at one or several specific base stations in the mobile edge ...
Cloud and mobile edge computing (MEC) provides a wide range of computing services for mobile applications. ...
Edge computing backed by powerful computing resources can reduce the network to offload computational tasks, which helps save a considerable amount of energy from mobile devices compared to offloading ...
doi:10.1155/2022/1121822
fatcat:agfciwfownfbrgkqcw2hxpwlte
COME-UP: Computation Offloading in Mobile Edge Computing with LSTM Based User Direction Prediction
2022
Applied Sciences
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In mobile edge computing (MEC), mobile devices limited to computation and memory resources offload compute-intensive tasks to nearby edge servers. ...
We propose a framework termed COME-UP Computation Offloading in mobile edge computing with Long-short term memory (LSTM) based user direction prediction. ...
COME-UP: Computation Offloading in Mobile Edge Computing with User Direction Prediction This section presents the proposed location and direction-aware task offloading framework based on LSTM. ...
doi:10.3390/app12073312
doaj:d30de894654b4e99a5def6ab8132857a
fatcat:qe6xx4rmure5xf7hjyv4usxxde
Task Offloading and Scheduling Strategy for Intelligent Prosthesis in Mobile Edge Computing Environment
2022
Wireless Communications and Mobile Computing
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Mobile edge computing is a viable solution to meet the high computation and real-time execution requirements of deep learning algorithm on mobile device. ...
Firstly, we present the problem definition and the detail design of MEC-based task offloading model for deep neural network. ...
However, the complexity of computing tasks brings a big burden to the mobile processors which are limited by their computation In the mobile edge computing environment, the edge devices provide computation ...
doi:10.1155/2022/2890473
fatcat:qzxhzeqvjfhlrgpgh2yccgi25i
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