Mobile-Edge Computing and the Internet of Things for Consumers: Extending cloud computing and services to the edge of the network

2016 ◽  
Vol 5 (4) ◽  
pp. 73-74 ◽  
Author(s):  
Peter Corcoran ◽  
Soumya Kanti Datta
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
The Internet Of Things

Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things

2016 ◽  
Vol 5 (4) ◽  
pp. 84-91 ◽  
Author(s):  
Dario Sabella ◽  
Alessandro Vaillant ◽  
Pekka Kuure ◽  
Uwe Rauschenbach ◽  
Fabio Giust
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Computing Architecture ◽  
The Internet Of Things

scholarly journals EFFICIENT AND SECURE DATA UTILIZATION IN MOBILE EDGE COMPUTING BY DATA REPLICATION

2020 ◽  
Vol 2 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Dr. Bhalaji N.
Keyword(s):  
Internet Of Things ◽  
Response Time ◽  
Data Flow ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Data Utilization ◽  
Huge Data ◽  
Secure Data ◽  
The Internet Of Things

The technological improvement at a rapid pace in the information and the communication fields has made the internet of things inevitable in our day today activities and takes a significant role in the every part of our regular schedule. The seamless communication through the internet of things is made possible, by connecting the tangible things around resulting in the numerous of advantages such as timely information delivery, servicing and monitoring. The inbuilt benefits of the IOT has made it more prominent among a wide range of application resulting in a huge data flow, though the congestion in the dataflow are managed using the cloud computing and the alternative sources such as the edge computing , the security of the data that are used are still under research. To manage the huge data flow and have secure data utilization in the internet of things, the paper has put forth the mobile edge computing integrated with the data duplication process taking into consideration the power utilization and the response time. The proposed method is simulated using the Network Simulator-2 and results obtained shows that the duplication process provides an enhancement in the bandwidth utilization along with the cut down in the power consumption and the response time.

scholarly journals ARTIFICIAL INTELLIGENCE AS A SERVICE IN DISTRIBUTED MULTI ACCESS EDGE COMPUTING ON 5G EXTRACTING DATA USING IOT AND INCLUDING AR/VR FOR REAL-TIME REPORTING

2021 ◽  
Vol 9 (1) ◽  
pp. 912-931
Author(s):  
Pavan Madduru
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Virtual Machines ◽  
Smart Cities ◽  
Assistive Technologies ◽  
Edge Computing ◽  
Smart Devices ◽  
The Internet ◽  
Iot Applications ◽  
The Internet Of Things

To meet the growing demand for mobile data traffic and the stringent requirements for Internet of Things (IoT) applications in emerging cities such as smart cities, healthcare, augmented / virtual reality (AR / VR), fifth-generation assistive technologies generation (5G) Suggest and use on the web. As a major emerging 5G technology and a major driver of the Internet of Things, Multiple Access Edge Computing (MEC), which integrates telecommunications and IT services, provides cloud computing capabilities at the edge of an access network. wireless (RAN). By providing maximum compute and storage resources, MEC can reduce end-user latency. Therefore, in this article we will take a closer look at 5G MEC and the Internet of Things. Analyze the main functions of MEC in 5G and IoT environments. It offers several core technologies that enable the use of MEC in 5G and IoT, such as cloud computing, SDN / NFV, information-oriented networks, virtual machines (VMs) and containers, smart devices, shared networks and computing offload. This article also provides an overview of MEC's ​​role in 5G and IoT, a detailed introduction to MEC-enabled 5G and IoT applications, and future perspectives for MEC integration with 5G and IoT. Additionally, this article will take a closer look at the MEC research challenges and unresolved issues around 5G and the Internet of Things. Finally, we propose a use case that MEC uses to obtain advanced intelligence in IoT scenarios.

scholarly journals Analyzing Web Site Performance between Edge Computing and Cloud Computing     

2021 ◽  
Author(s):  
Waldon Hendricks
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Web Site ◽  
Edge Computing ◽  
Time Constraints ◽  
The Internet ◽  
The Internet Of Things

Developments such as the Internet of Things and how it integrates with cloud computing statistics show that latency is one of the issues that is inconsistent. Having more devices connect to the internet every year brought about a newer technology called Edge computing. This study aims to prove that Edge computing that brings computing resources closer to the edge of the network, improves latency. The method used for this research was that of an experiment. Analyzing the latency figures between Edge and Cloud computing is the purpose of this study, by making use of 2 hosted services, hosting a web site that will be load tested to provide the latency figures. Edge computing proved through the statistics to be more beneficial in improving latency. Due to time constraints, virtual users and hosted services were used.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

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