Journal ArticleDOI
Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV
Xiaolong Xu,Bowen Shen,Xiaochun Yin,Mohammad Reza Khosravi,Huaming Wu,Lianyong Qi,Shaohua Wan +6 more
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TLDR
A collaborative method for the quantification and placement of ESs, named CQP, is developed for social media services in industrial CIoV, and is evaluated with a real-world ITS social media data set from China.Abstract:
The automotive industry, a key part of industrial Internet of Things, is now converging with cognitive computing (CC) and leading to industrial cognitive Internet of Vehicles (CIoV). As the major data source of industrial CIoV, social media has a significant impact on the quality of service (QoS) of the automotive industry. To provide vehicular social media services with low latency and high reliability, edge computing is adopted to complement cloud computing by offloading CC tasks to the edge of the network. Generally, task offloading is implemented based on the premise that edge servers (ESs) are appropriately quantified and located. However, the quantification of ESs is often offered according to empirical knowledge, lacking analysis on real condition of intelligent transportation system (ITS). To address the abovementioned problem, a c ollaborative method for the q uantification and p lacement of ESs, named CQP, is developed for social media services in industrial CIoV. Technically, CQP begins with a population initializing strategy by Canopy and K-medoids clustering to estimate the approximate ES quantity. Then, nondominated sorting genetic algorithm III is adopted to achieve solutions with higher QoS. Finally, CQP is evaluated with a real-world ITS social media data set from China.read more
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Journal ArticleDOI
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System
TL;DR: A real-time vehicle tracking counter for vehicles that combines the vehicle detection and vehicle tracking algorithms to realize the detection of traffic flow is proposed.
Journal ArticleDOI
Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing
TL;DR: A novel 5G IoV architecture is designed on the basis of fog-cloud computing and software-defined networking (SDN), and a many-objective optimization algorithm is proposed that outperforms the other state-of-the-art algorithms.
Journal ArticleDOI
Large-Scale Many-Objective Deployment Optimization of Edge Servers
TL;DR: The placement problem of ESs in the IoV is studied, and the six-objective ES deployment optimization model is constructed by simultaneously considering transmission delay, workload balancing, energy consumption, deployment costs, network reliability, and ES quantity.
Journal ArticleDOI
Heuristic Edge Server Placement in Industrial Internet of Things and Cellular Networks
Shahrukh Khan Kasi,Mumraiz Khan Kasi,Kamran Ali,Mohsin Raza,Hifza Afzal,Aboubaker Lasebae,Bushra Naeem,Saiful Islam,Joel J. P. C. Rodrigues +8 more
TL;DR: The results show that the genetic algorithm can quickly search through the large solution space as compared to local search optimization algorithms to find an edge placement strategy that minimizes the cost function.
Journal ArticleDOI
6G-Enabled Short-Term Forecasting for Large-Scale Traffic Flow in Massive IoT Based on Time-Aware Locality-Sensitive Hashing
TL;DR: A big data-driven and nonparametric model aided by 6G is proposed in this article to extract similar traffic patterns over time for accurate and efficient short-term traffic flow prediction in massive IoT, which is mainly based on time-aware locality-sensitive hashing (LSH).
References
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Edge Computing: Vision and Challenges
TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
Journal ArticleDOI
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Kalyanmoy Deb,Himanshu Jain +1 more
TL;DR: A reference-point-based many-objective evolutionary algorithm that emphasizes population members that are nondominated, yet close to a set of supplied reference points is suggested that is found to produce satisfactory results on all problems considered in this paper.
Journal ArticleDOI
Traffic Flow Prediction With Big Data: A Deep Learning Approach
TL;DR: A novel deep-learning-based traffic flow prediction method is proposed, which considers the spatial and temporal correlations inherently and is applied for the first time that a deep architecture model is applied using autoencoders as building blocks to represent traffic flow features for prediction.
Journal ArticleDOI
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
TL;DR: In this article, a game theoretic approach for computation offloading in a distributed manner was adopted to solve the multi-user offloading problem in a multi-channel wireless interference environment.
Journal ArticleDOI
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach,Zdenek Becvar +1 more
TL;DR: This paper describes major use cases and reference scenarios where the mobile edge computing (MEC) is applicable and surveys existing concepts integrating MEC functionalities to the mobile networks and discusses current advancement in standardization of the MEC.