Here is a summary of the provided PDF document, "Cloud Computing in IoT: Powering the Connected Future".
The document is a presentation by Sourav Maity and Saptak Mandal for the Department of Computer Science and Engineering at the University of Kalyani , dated October 16, 2025.
Core Concepts
Internet of Things (IoT): The presentation defines IoT as a network of physical objects equipped with sensors and software to exchange data over the internet. Examples include smart homes, connected cars, and wearable health devices. It notes a projection of over 30 billion IoT devices by 2025.
Cloud Computing: This is defined as the on-demand delivery of IT resources (like storage and processing power) over the internet. Key features include scalability, rapid elasticity, and a pay-as-you-go model.
How Cloud Empowers IoT
The presentation outlines the key benefits of integrating cloud computing with IoT:
Handles Massive Data: The cloud provides the scalable storage and processing power needed for the vast data streams from IoT devices.
Centralized Management: It serves as a central hub for data aggregation, analytics, and remote device control.
Real-Time Insights: It supports powerful analytics for immediate decision-making.
Scalability & Cost: Users can adjust resources on-demand with a pay-as-you-go model, avoiding large upfront infrastructure costs.
Real-World Applications
The document highlights transformations in several industries:
Healthcare: Wearables send health data for real-time monitoring.
Smart Cities: Traffic patterns are analyzed to reduce congestion.
Manufacturing: Predictive maintenance is used to reduce equipment downtime.
Deployment and Security
Security & Reliability: Cloud platforms use robust authentication and encryption to protect IoT data. High availability is ensured through redundant data centers. A good cloud architecture is noted as critical for performance, security, and cost.
Deployment Models: The presentation lists four types of cloud deployments for IoT:
Public Cloud: Resources accessible to anyone (e.g., AWS, Azure).
Private Cloud: Infrastructure dedicated to a single organization.
Hybrid Cloud: A combination of public and private clouds.
Multi-Cloud: Uses multiple public cloud providers to avoid vendor lock-in.
Future and Conclusion
Future trends are identified, including AI-driven analytics , Edge Computing integration to reduce latency , enhanced security , and the use of serverless and containerization.