Authors: Dr. Arvind Tiwari, Prof. Meenal Deshmukh
Abstract :computing resources and data storage solutions that support the large volumes of data generated by IoT devices. The paper explores how cloud computing platforms and services empower IoT systems, allowing devices to communicate, process, and analyze data remotely. By utilizing cloud technologies, IoT devices can overcome the limitations of local computing power and storage, enabling faster, more efficient data processing. The paper also discusses the integration of IoT with various cloud services, such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), to provide cost-effective, flexible, and reliable solutions.
Cloud computing also enhances the scalability and flexibility of IoT systems, enabling them to handle the ever-growing amount of data generated by an increasing number of connected devices. Furthermore, cloud platforms facilitate real-time data processing, advanced analytics, and machine learning, which are critical for making data-driven decisions in IoT applications. The seamless integration of cloud computing and IoT paves the way for innovative solutions across various sectors, including healthcare, smart cities, industrial automation, and agriculture.
Keywords: Cloud Computing, IoT, SaaS, PaaS, Data Processing
Full Issue
| View or download the full issue | PDF 113-128 |