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Paper Title

MICRO SERVICE-BASED MIDDLEWARE ARCHITECTURE FOR REAL-TIME DATA PROCESSING IN IOT ENVIRONMENT

Article Identifiers

Registration ID: IJNRD_302758

Published ID: IJNRD2302305

: http://doi.one/10.1729/Journal.42665

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Keywords

Internet of things (IOT), real-time data processing, micro service architecture, middleware framework, scalability, fault tolerance, low-latency processing.

Abstract

Abstract: : That explosion of the Internet of Things (IoT) has made incomparable demands on real-time data processing, providing a new impetus for dynamic and resource-hungry applications. This means that a classical monolithic middleware architecture is usually inadequate in meeting severe requirements in scaling, fault tolerance, and low-latency data handling. This research proposes a micro service-based middleware architecture designed specifically for real-time data processing in IoT ecosystems. It can be said that the architecture is based on modular micro services so that independent deployment and scaling of system components are allowed, event-driven communication can be established to promote efficient data flow, and dynamic resource controlling by means of container orchestration tools like Kubernetes can be made possible. An ingestion layer for data that is interfaced with IoT devices, a facility for processing distributed data across which analytical processing is executed with minimal latency, and the application-programming interface (API) gateway through which applications can be interconnected with one another are now presented as essential components of a complete architecture. With the middleware framework on real-time processing engines Apache Kafka and Flink, the above system can process high-capacity data streams with very minimum latency. In terms of performance evaluation, simulated and real-world IoT application scenarios have shown significant margins against conventional architecture in the areas of latency, throughput, and scalability. It could ingest and process even 50,000 events in a second, averaging latency of less than 150 ms. Fault tolerance testing, on the other hand, demonstrated fast service recovery from failure with no data loss. The argument built was further consolidated by use cases in the domains of smart cities, health care, and industrial IoT that resist the practical challenges and adaptability of the framework. The present micro service-based middleware approach for real-time IoT data processing is robust, scalable, and cost-effective, capable of meeting the growing demands of real-time processing in the increasingly diverse and heterogeneous IoT ecosystems. This research will thus contribute to the progress of IoT middleware technologies and provide a basis for future studies toward integration with AI-driven analytics and security mechanisms enhancement.

How To Cite (APA)

Naveen Kodakandla (February-2023). MICRO SERVICE-BASED MIDDLEWARE ARCHITECTURE FOR REAL-TIME DATA PROCESSING IN IOT ENVIRONMENT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(2), d38-d48. http://doi.one/10.1729/Journal.42665

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Paper Reg. ID: IJNRD_302758

Published Paper Id: IJNRD2302305

Research Area: Science and Technology

Author Type: Foreign Author

Country: Aldie, VA, United States

Published Paper PDF: https://ijnrd.org/papers/IJNRD2302305.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2302305

Crossref DOI: http://doi.one/10.1729/Journal.42665

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