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Research on Cloud-Edge-End Collaborative Computing Offloading Strategy in the Internet of Vehicles Based on the M-TSA Algorithm. [PDF]
Sensors (Basel), 2023 In the Internet of Vehicles scenario, the in-vehicle terminal cannot meet the requirements of computing tasks in terms of delay and energy consumption; the introduction of cloud computing and MEC is an effective way to solve the above problem.
Xu Q, Zhang G, Wang J.
europepmc +2 more sources
Dynamic Task Offloading for Mobile Edge Computing with Hybrid Energy Supply
Tsinghua Science and Technology, 2023 Mobile edge computing (MEC), as a new distributed computing model, satisfies the low energy consumption and low latency requirements of computation-intensive services.
Fengjun Zhao
exaly +3 more sources
Mobile cloud computing for computation offloading: Issues and challenges
Applied Computing and Informatics, 2018 Despite the evolution and enhancements that mobile devices have experienced, they are still considered as limited computing devices. Today, users become more demanding and expect to execute computational intensive applications on their smartphone devices.
Khadija Akherfi +2 more
exaly +3 more sources
Computing Offloading Scheme Based on User Experiencein Mobile Edge Computing [PDF]
Jisuanji gongcheng, 2020 Most of the existing computing offloading schemes in Mobile Edge Computing(MEC) pre-set unified weight factors,which fail to meet the different requirements of users for delay and energy consumption.To address the problem,this paper proposes a computing ...
YANG Tian, TIAN Lin, SUN Qian, ZHANG Zongshuai, WANG Yuanyuan
doaj +1 more source
Study on Optimized Offloading for Data Security in Industrial Scene [PDF]
Jisuanji kexue, 2023 The problem of security offloading in data transmission in industrial scenarios has gained wide attention.This paper is the first to integrate security policy as a decision variable into the optimization problem.It applies computational offloading ...
WANG Biao, WANG Da, KE Ji, MA Yuqing, ZHANG Yipu, WANG Changqing, LI Aijun
doaj +1 more source
Mobile Edge Computing Offloading Strategy Under Internet of Vehicles Scenario [PDF]
Jisuanji gongcheng, 2020 In computing offloading systems of Mobile Edge Computing(MEC) in Internet of Vehicles(IoV),the loads of concurrent multi-priority computing tasks and MEC server resources are not balanced.To address the problem,this paper proposes a Genetic Algorithm ...
YU Xiang, LIU Yixun, SHI Xueqin, WANG Zheng
doaj +1 more source
Journal of Cloud Computing: Advances, Systems and Applications, 2021 Connected and Automated Vehicle (CAV) is a transformative technology that has great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming the key subject of next-generation CAVs by virtue of its advantages in energy ...
Bing Lin +5 more
doaj +1 more source
IEEE Access, 2020 With the emergence of smart mobile devices (SMDs) and mobile applications, the cloud-mobile edge computing (MEC) collaborative computation offloading (CMCCO) scheme, i.e., offloading the computation-intensive task from the local SMD to either the MEC ...
Chao He, Ruyan Wang, Zefu Tan
doaj +1 more source
A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC
Journal of Electrical and Computer Engineering, 2023 Multiaccess edge computing (MEC) is a novel distributed computing paradigm. In this paper, we investigate the challenges of task offloading scheduling, communication bandwidth, and edge server computing resource allocation for multiple user equipments ...
Jiadong Dong +5 more
doaj +1 more source
IEEE Access, 2021 Fog computing is considered to be an effective method to solve the problem of high latency and high energy consumption of IoT devices. A suitable computation offloading strategy can provide a low offloading cost to the user device.
Wenle Bai +6 more
doaj +1 more source