- SaaS: service is a complete application (client-server computing)
- First there was RPC (remote procedure call)
- Which became REST/RMI/Thrift to reach software as a Service today
- PaaS: high-level programming model for cloud computer
- Turing complete but resource management hidden
- SaaS: low-level computing model for cloud computer
- Basic hardware model with all (virtual) resources exposed
- Examples: Salesforce (SaaS), Google AppEngine (PaaS), Amazon AWS (IaaS)
- Public Cloud - provider sells computing to many unrelated consumers
- Private Cloud - provider is one organization with many largely unrelated components and divisions as consumers
- Community Cloud - providers and consumers are different organizations with strong shared concerns
- Hybrid Cloud - private plus public resources combined by same consumer
- Privacy & security
- Privacy in the world tends to rely on regulation
- Utility issues
- Physical utilities tend to rely on regulation
- High cost of networking combined with always remote
- Performance unpredictability in situation development/debugging
- Data capture and ingestion is ongoing
- Raw data (text, image, audio, video)
- Raw data repository
- Object storage
- Data lake
- Feature engineering and metadata
- Metadata Generation
- Raw Data -> Segmentation -> Preprocessing -> Features, Entities, Indexed -> Relations
- Batch processing/stream processing
- Knowledge representation to ML models
- ML model training -> iterative processing
- Inference system
