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Learning Objectives

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Now · 1. Cloud Service Models

Learning Objectives

Understand cloud service models (IaaS, PaaS, SaaS)
Compare cloud, fog, and edge computing
Apply cloud to industrial use cases
Networking basics
Understanding of data processing

1. Cloud Service Models

IaaS (Infrastructure as a Service): Virtual machines, storage, networks. AWS EC2, Azure VM. Most control, most responsibility. PaaS (Platform as a Service): Development and deployment platform. Azure IoT Hub, AWS Greengrass. Focus on applications. SaaS (Software as a Service): Ready-to-use software. Salesforce, Office 365. Least control, easiest to use.

2. Computing Continuum

Cloud: Centralized data centers. High latency (50-200ms), unlimited storage, massive compute. Best for historical analytics, ML training, long-term storage. Fog: Intermediate layer (on-premise servers). Lower latency (10-50ms), moderate storage. Best for local dashboards, data aggregation, real-time alerts. Edge: Devices near production (PLCs, gateways). Ultra-low latency (1-10ms), limited resources. Best for real-time control, data filtering, fast decisions.

3. Industrial IoT Platforms

AWS IoT Core: Device management, data ingestion, rules engine
Azure IoT Hub: Bi-directional communication, device twins
Siemens MindSphere: Industrial IoT platform
PTC ThingWorx: Industrial connectivity and AR

Q1: Compare IaaS, PaaS, SaaS with examples.

IaaS: VMs (AWS EC2). PaaS: dev platform (Azure IoT Hub). SaaS: ready software (Office 365). Q2: When should edge computing be preferred over cloud?

When low latency is critical (real-time control <10ms), bandwidth is limited, data privacy required, or connectivity is intermittent. Q3: What is the role of industrial IoT platforms?

Device management, secure connectivity, data ingestion, message routing, device twins, analytics, integration with enterprise systems. Q4: What is fog computing?

Decentralized infrastructure between cloud and edge. Typically on-premise servers that aggregate data from edge devices, run local analytics, and communicate with cloud. Q5: What is serverless computing?

Run code without managing servers. Pay per execution. AWS Lambda, Azure Functions. Useful for event-driven IoT applications. Join Discord PreviousDigital Twins & SimulationNextCybersecurity in Industry 4.0