scholarly journals Workload Allocation Based on User Mobility in Mobile Edge Computing

2020 ◽  
Vol 2 (3) ◽  
pp. 105-115
Author(s):  
Tengfei Yang ◽  
Xiaojun Shi ◽  
Yangyang Li ◽  
Binbin Huang ◽  
Haiyong Xie ◽  
...  
Keyword(s):  
Edge Computing ◽  
User Mobility ◽  
Mobile Edge Computing ◽  
Workload Allocation

scholarly journals A dynamic service migration strategy based on mobility prediction in edge computing

2021 ◽  
Vol 17 (2) ◽  
pp. 155014772199340
Author(s):  
Lanlan Rui ◽  
Shuyun Wang ◽  
Zhili Wang ◽  
Ao Xiong ◽  
Huiyong Liu
Keyword(s):  
Optimization Method ◽  
Edge Computing ◽  
User Mobility ◽  
Mobile Edge Computing ◽  
Frequent User ◽  
Migration Strategy ◽  
Service Interruption ◽  
Cost Constraints ◽  
Initial Location ◽  
Service Migration

Mobile edge computing is a new computing paradigm, which pushes cloud computing capabilities away from the centralized cloud to the network edge to satisfy the increasing amounts of low-latency tasks. However, challenges such as service interruption caused by user mobility occur. In order to address this problem, in this article, we first propose a multiple service placement algorithm, which initializes the placement of each service according to the user’s initial location and their service requests. Furthermore, we build a network model and propose a based on Lyapunov optimization method with long-term cost constraints. Considering the importance of user mobility, we use the Kalman filter to correct the user’s location to improve the success rate of communication between the device and the server. Compared with the traditional scheme, extensive simulation results show that the dynamic service migration strategy can effectively improve the service efficiency of mobile edge computing in the user’s mobile scene, reduce the delay of requesting terminal nodes, and reduce the service interruption caused by frequent user movement.

Reducing the network overhead of user mobility-induced virtual machine migration in mobile edge computing

2018 ◽  
Vol 49 (4) ◽  
pp. 673-693 ◽  
Author(s):  
Fei Zhang ◽  
Guangming Liu ◽  
Bo Zhao ◽  
Xiaoming Fu ◽  
Ramin Yahyapour
Keyword(s):  
Virtual Machine ◽  
Edge Computing ◽  
User Mobility ◽  
Mobile Edge Computing ◽  
Virtual Machine Migration ◽  
Network Overhead

scholarly journals User mobility aware task assignment for Mobile Edge Computing

2018 ◽  
Vol 85 ◽  
pp. 1-8 ◽  
Author(s):  
Zi Wang ◽  
Zhiwei Zhao ◽  
Geyong Min ◽  
Xinyuan Huang ◽  
Qiang Ni ◽  
...  
Keyword(s):  
Task Assignment ◽  
Edge Computing ◽  
User Mobility ◽  
Mobile Edge Computing

scholarly journals Animation Art Design Online System Based on Mobile Edge Computing and User Perception

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jianzhi Liu
Keyword(s):  
Data Transmission ◽  
Edge Computing ◽  
Design System ◽  
User Mobility ◽  
Mobile Edge Computing ◽  
User Perception ◽  
Edge Network ◽  
Block Data ◽  
Design Mechanism ◽  
Art Design

Based on mobile edge computing and user perception technology, this paper analyzes and discusses the respective advantages and disadvantages of the important optimization models and mobile models in the animation art design, as well as the wireless block data transmission mechanism and protocol. In order to solve the problem that user mobility cannot be sensed, a content-centric mobile edge animation art design mechanism based on user mobility perception is proposed. This mechanism comprehensively calculates the centrality of users’ perception of nodes, the idle rate of animation design, and the staying time of users in a small area. The mobile edge network controller integrates the information of each edge user’s perception node, calculates the importance of each edge user’s perception node and prioritizes it, and selects the appropriate content animation to design the user perception node according to the ranking result. Finally, various simulation or platform test experiments were carried out for all the design schemes in this paper, and the experimental results were analyzed. The simulation experiment results show that compared with the traditional animation design mechanism, the animation art design system effectively reduces the average number of hops for users to obtain content by up to 15.9%, improves the hit rate of edge user perception node animation design by at least 13.7%, and reduces the traffic entering the core network by up to 32.1%. According to the comparison results, the various designs in this work can successfully use sensor data to preclassify migration tasks in the mobile edge network environment. Compared with the latest block data transmission protocol, it has a significant performance improvement, reducing the data distribution delay by 34.8%, thereby helping to improve the overall efficiency of mobile edge computing.

Load Balancing for Energy-Harvesting Mobile Edge Computing

2021 ◽  
Vol E104.A (1) ◽  
pp. 336-342
Author(s):  
Ping ZHAO ◽  
Jiawei TAO ◽  
Abdul RAUF ◽  
Fengde JIA ◽  
Longting XU
Keyword(s):  
Energy Harvesting ◽  
Load Balancing ◽  
Edge Computing ◽  
Mobile Edge Computing
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