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Original Research

IoT AND CLOUD COMPUTING: ENHANCING SMART TECHNOLOGY ADOPTION THROUGH LIKELIHOOD-BASED ATTRIBUTE ANALYSIS

NILESH SURESH JAIN

Vol 18, No 09 ( 2023 )   |  Author Affiliation: Principal, Software Engineer, Oracle America Inc.   |   Licensing: CC 4.0   |   Pg no: 1026-1043   |   Published on: 26-09-2023

Abstract

The contemporary paradigm referred to as the Internet of Things, abbreviated as IoT, has orchestrated a profound transformation of everyday life into intricately advanced forms. IoT has ushered in a multitude of enhancements, including smart residences, intelligent urban environments, energy conservation measures, automated public transit systems, and the automation of various industries. This has effectively metamorphosed our world into a global metropolis, wherein individuals can seamlessly engage, communicate, and securely share information, all thanks to the convenience offered by intelligent internet-enabled devices. Within the realm of information technology, it is imperative to scrutinize the factors that facilitate individuals' decisions to embrace and disseminate innovative IT-based procedures and products. Such an examination is pivotal to the ongoing evolution of information technology. In the forthcoming research article, we embark on a comprehensive exploration of the utilization of cloud servers, the evolution of IoT concepts, their far-reaching implications on both individuals and organizations, the realization of a diverse spectrum of utilities, and the meticulous analysis and selection of pertinent attributes aimed at enhancing cloud-based IoT capabilities, all achieved through the application of a likelihood distribution function.


Keywords

Cloud Computing, IOT, Power Monitoring System, Intelligent Monitoring.