LAVEA: Latency-Aware Video Analytics on Edge Computing Platform

2017 ◽  
Author(s):  
Shanhe Yi ◽  
Zijiang Hao ◽  
Qingyang Zhang ◽  
Quan Zhang ◽  
Weisong Shi ◽  
...  
Keyword(s):  
Edge Computing ◽  
Video Analytics ◽  
Computing Platform

Open Source Heterogeneous Constrained Edge Computing Platform for Smart Grid Measurements

2021 ◽  
pp. 1-1
Author(s):  
Ashish Joglekar ◽  
Gurunath Gurrala ◽  
Puneet Kumar ◽  
Francis C Joseph ◽  
Kiran T S ◽  
...  
Keyword(s):  
Smart Grid ◽  
Open Source ◽  
Edge Computing ◽  
Computing Platform

An Evaluation of Edge Computing Platform for Reliable Automated Drones

2020 ◽  
Author(s):  
Jo Yoshimoto ◽  
Ittetsu Taniguchi ◽  
Hiroyuki Tomiyama ◽  
Takao Onoye
Keyword(s):  
Edge Computing ◽  
Computing Platform

MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures

2022 ◽  
Vol 54 (9) ◽  
pp. 1-37
Author(s):  
Pasika Ranaweera ◽  
Anca Jurcut ◽  
Madhusanka Liyanage
Keyword(s):  
Edge Computing ◽  
Use Cases ◽  
Automated Driving ◽  
Security Vulnerabilities ◽  
Internet Technologies ◽  
Computing Platform ◽  
Service Guarantees ◽  
Fifth Generation ◽  
Machine Type Communication ◽  
Multi Access

The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation (5G) mobile technology serves as the solution, though it lacks a proximate networking infrastructure to satisfy the service guarantees. Multi-access Edge Computing (MEC) envisages such an edge computing platform. In this survey, we are revealing security vulnerabilities of key 5G-based use cases deployed in the MEC context. Probable security flows of each case are specified, while countermeasures are proposed for mitigating them.

scholarly journals Strategies to Implement Edge Computing in a P2P Pervasive Grid

2018 ◽  
Vol 11 (1) ◽  
pp. 1-15
Author(s):  
Luiz Angelo Steffenel ◽  
Manuele Kirsch Pinheiro ◽  
Lucas Vaz Peres ◽  
Damaris Kirsch Pinheiro
Keyword(s):  
Big Data ◽  
Context Awareness ◽  
Edge Computing ◽  
Computing Platform ◽  
Geophysical Application ◽  
Two Factors ◽  
Computing Platforms ◽  
Distributed Computing Platform ◽  
Big Data Computing ◽  
Analyze Data

The exponential dissemination of proximity computing devices (smartphones, tablets, nanocomputers, etc.) raises important questions on how to transmit, store and analyze data in networks integrating those devices. New approaches like edge computing aim at delegating part of the work to devices in the “edge” of the network. In this article, the focus is on the use of pervasive grids to implement edge computing and leverage such challenges, especially the strategies to ensure data proximity and context awareness, two factors that impact the performance of big data analyses in distributed systems. This article discusses the limitations of traditional big data computing platforms and introduces the principles and challenges to implement edge computing over pervasive grids. Finally, using CloudFIT, a distributed computing platform, the authors illustrate the deployment of a real geophysical application on a pervasive network.

scholarly journals Microservice Security Agent Based On API Gateway in Edge Computing

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4905 ◽  
Author(s):  
Rongxu Xu ◽  
Wenquan Jin ◽  
Dohyeun Kim
Keyword(s):  
Data Storage ◽  
User Authentication ◽  
Edge Computing ◽  
Security And Privacy ◽  
Agent Based ◽  
Computing Platform ◽  
Authentication Mechanism ◽  
Computing Paradigm ◽  
Security Agent ◽  
Secure Authentication

Internet of Things (IoT) devices are embedded with software, electronics, and sensors, and feature connectivity with constrained resources. They require the edge computing paradigm, with modular characteristics relying on microservices, to provide an extensible and lightweight computing framework at the edge of the network. Edge computing can relieve the burden of centralized cloud computing by performing certain operations, such as data storage and task computation, at the edge of the network. Despite the benefits of edge computing, it can lead to many challenges in terms of security and privacy issues. Thus, services that protect privacy and secure data are essential functions in edge computing. For example, the end user’s ownership and privacy information and control are separated, which can easily lead to data leakage, unauthorized data manipulation, and other data security concerns. Thus, the confidentiality and integrity of the data cannot be guaranteed and, so, more secure authentication and access mechanisms are required to ensure that the microservices are exposed only to authorized users. In this paper, we propose a microservice security agent to integrate the edge computing platform with the API gateway technology for presenting a secure authentication mechanism. The aim of this platform is to afford edge computing clients a practical application which provides user authentication and allows JSON Web Token (JWT)-based secure access to the services of edge computing. To integrate the edge computing platform with the API gateway, we implement a microservice security agent based on the open-source Kong in the EdgeX Foundry framework. Also to provide an easy-to-use approach with Kong, we implement REST APIs for generating new consumers, registering services, configuring access controls. Finally, the usability of the proposed approach is demonstrated by evaluating the round trip time (RTT). The results demonstrate the efficiency of the system and its suitability for real-world applications.

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