International Journal on Science and Technology

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Exploring the Future of IoT and its Integration with Cloud Computing

Author(s) Sasikanth Mamidi
Country United States
Abstract The integration of the Internet of Things (IoT) with cloud computing has progressed from simple data aggregation models to highly distributed, intelligence driven ecosystems. However, many existing studies emphasize architectural descriptions without rigorously addressing decision latency, operational trade-offs, or performance validation under real world workloads. This paper proposes a decision centric IoT cloud integration framework that strategically distributes intelligence across device, edge, and cloud layers. The proposed Adaptive Distributed Intelligence for Cloud Edge IoT (A-DICE) framework introduces locality aware decision placement and adaptive data filtering to optimize latency, scalability, and cost efficiency. A comprehensive case study evaluates the framework using high frequency telemetry workloads, demonstrating measurable improvements in end to end latency, throughput stability, and resource utilization. The results highlight the necessity of moving beyond centralized cloud processing toward adaptive, cloud native IoT architectures capable of supporting next generation autonomous systems.
Keywords Internet of Things, Cloud Computing, Edge Intelligence, Distributed Systems, Cloud Native Architecture, IoT Scalability, Decision Latency, Event Driven Systems, Adaptive Computing, Performance Evaluation.
Field Engineering
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-26
DOI https://doi.org/10.71097/IJSAT.v17.i1.10559
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