Concurrency and Consistency Control in Distributed Systems
Concurrency and consistency control mechanisms ensure that multiple components can safely work together without data corruption or inconsistencies. Some common techniques include:
- Locks and Semaphores: Manage a common use of sources.
- Optimistic Concurrency Control: Provides competition such that the majority of actions will go uninterrupted; the blocking will only occur once conflicting transactions have been resolved.
- Versioning: Keeping the current modification of data is by recording versions.
- Conflict Resolution: Strategies of dissolving data dissonances in networked surroundings.
How to build a Distributed System?
A distributed system is a system where there are separate components (nodes, servers, etc.) that are integrally linked to each other to perform the operations. These systems will be created for the capability to scale, resilience, and fault tolerance. They communicate and also collaborate their operations through networks that enable the processing, storing, and sharing of resources in a decentralized manner.
Important Topics for how to build a Distributed System
- Key Concepts for Distributed Systems
- Design Principles for Distributed Systems
- Architectural Patterns for Distributed Systems
- Communication Protocols for Distributed Systems
- Data Management Strategies for Distributed Systems
- Concurrency and Consistency Control in Distributed Systems
- Scalability and Performance Optimization in Distributed Systems
- Security Considerations for Distributed Systems
- Deployment and Operations in Distributed Systems