Cloud Architecture (Unit 5)
Cloud Architecture (Unit 5)
Cloud Architecture - CA - Unit 5 -SRMIST Syllabus - Short Notes
Cloud Architectural Patterns
- Scalability - Number of users who can effectively use a service at the same time.
- Horizontal Scaling - Scaling on demand, by adding new nodes.
- Vertical Scaling - Scaling on demand, by adding resources to existing nodes.
- Queue-Centric - First come first serve.
- Auto-Scaling - Automatically scales upon demand in a day.
- Eventual Consistency Primer - Making the cloud database consistent.
- Map Reduce - Like Hadoop, uses 2 functions one to map data to functions and the next to reduce the workload of the processor by distributing data to multiple functions.
- Database Sharding - Effective use of database storage by distributing data to multiple nodes.
- Node Failure - Recovery or response to node failure.
- Network Latency Primer - Reduce downtime and delay in communication over a network.
- Move applications closer to users.
- Move data closer to users.
- Ensure nodes & applications are close by.
- CDN - Using temporary storage to retrieve data much more quickly.
- Multisite deployment - Multiple data center deployments to reduce latency.
Network Connectivity
- TOR - Less cabling.
- EOR - Too much cabling.
- Standalone Server - A server that runs all on its own, authentication, security services, etc.
- Blade Server - Modular server with a self-cooling system.
- Stateless Server - No state, user information disregarded.
- Server Cluster - Group of servers that work simultaneously.
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