Paper Title
CLOUD BASED MIDDLEWARE FOR IOT APPLICATION USING EDGE COMPUTING AND 5G NETWORKS
Article Identifiers
Registration ID: IJNRD_302759
Published ID: IJNRD2206123
: http://doi.one/10.1729/Journal.42664
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Keywords
Cloud-based middleware, internet of things (iot), edge computing, 5g networks, real-time data processing, scalability, iot applications
Abstract
Abstract: Owing to the advancement of IoT solutions, the need for complex structures that utilize large real-time data processing and exchange is now louder than ever. In view of this, cloud-based middleware has evolved as a promising solution for controlling and mediating internet of things devices and applications. However, the conventional cloud-computing model has issues regarding latency, bandwidth and scalability where a large volume and sped of IoT data could be an issue. The subsequent sections of the paper shed light upon how Edge Computing and 5G network can be incorporated in a cloud based middleware environment to mitigate the issues defined above and thus improve the effectiveness and effectiveness of IoT application.Edge Computing is presented as an innovative approach that pushes the processing and data storage closer to the network periphery in an effort to have less delay and less utilization of networks. Due to decentralizing the data processing to the edge of the network this cuts down on response times with better and efficient resource utilization which makes it ideal for time sensitive applications in IoT. Also, 5G networks provide ultra-low latency, enhanced bandwidth and, more connected devices for IoT, which substantially enhance IoT devices and cloud services communication. This paper presents a middleware architectural design for cloud IoT systems using both Edge and 5G to flexibly develop IoT systems with high availability and real time response.The presented middleware helps manage IoT devices, edge nodes, and cloud services and offers a single framework for data collection, processing, and analysis. Moreover, it also features dynamic resource allocation and also load balancing capability that helps to embed productivity to boost up the network and the data traffic regardless of the existence of the fluctuating network conditions. Based on case studies and possible use scenarios, the paper proves that cloud-based middleware combined with Edge Computing and 5G is an essential prerequisite for IoT applications of the next generation with application areas such as smart city, autonomous transport means, and industrial applications. In conclusion, building on the use of cloud-based middleware, Edge Computing, and 5G networks is considered to be a promising solution for addressing some of the besetting challenges and shortcomings of conventional IoT architectural models to develop more interactive, flexible, and efficient IoT applications. The study offers insights into future IoT systems and a reference for researchers and developers that are eager to enhance IoT performances in the advanced world.
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How To Cite (APA)
Naveen Kodakandla (June-2022). CLOUD BASED MIDDLEWARE FOR IOT APPLICATION USING EDGE COMPUTING AND 5G NETWORKS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(6), 7-15. http://doi.one/10.1729/Journal.42664
Issue
Volume 7 Issue 6, June-2022
Pages : 7-15
Other Publication Details
Paper Reg. ID: IJNRD_302759
Published Paper Id: IJNRD2206123
Research Area: Science and Technology
Author Type: Foreign Author
Country: Aldie, VA, United States
Published Paper PDF: https://ijnrd.org/papers/IJNRD2206123.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2206123
Crossref DOI: http://doi.one/10.1729/Journal.42664
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