Cloud Platforms for the Internet of Things - Comparison and Analysis

Explore a comprehensive analysis of cloud platforms for the Internet of Things (IoT) in this 44-minute conference talk by Koustabh Dolui from Politecnico di Milano. Delve into the diverse landscape of open-source and closed cloud platforms, examining their architectures, data storage capabilities, privacy features, security measures, and communication protocols. Learn how these platforms compare against each other using a real data-set from a sensor network deployed at the Circo Massimo heritage site in Rome. Gain insights into the trade-offs presented by various platforms and understand their implications for IoT data collection and processing. Discover key topics such as wireless sensor networks, latency, cloud platform requirements, gateway protocols, and classification of services. Examine specific platforms like Amazon's AWS IoT, Sparkfun, and Parse, including a detailed use case and cost analysis. Enhance your understanding of IoT cloud platforms and their role in processing and analyzing data generated by IoT devices.

Introduction
Topics
Wireless Sensor Networks
Latency
Motivation
Cloud Platform Requirements
Cloud Platform Parameters
Gateway Protocols
Classification of Services
Amazons AWS IoT
Sparkfun
Parse
Use Case
Sensor Placement
Parse Platform
Cost
Conclusion
Questions Suggestions