Fault Tolerance Mechanisms
Defect-tolerant algorithms in distributed systems serve the purpose of reducing their failure effect. These include:
- Replication: Copying data as well as services from one node to the next using multiple nodes helps prevent data loss and service breakdown in the event of the failure of various individual nodes.
- Redundancy: Backup and fault-tolerant procedures sustain the management and availability of the resources. Hence, redundant components and data copies are maintained to reduce downtime and avoid data loss.
- Fault Detection and Recovery: Techniques such as heartbeat monitoring, failure detection algorithms, and automatic failover methods are among those that allow the system to recognize and recover from node failure quickly.
Components of Distributed System
Many modern computing platforms, such as Internet applications or systems, are built on distributed systems, which function as essential infrastructure.
- These systems feature good scalability, fault tolerances, and application flexibility, which enable them to be used in various areas, including cloud computing, IoT, and big data analytics.
- It is necessary to learn the components of distributed systems, as it would be part of designing, developing, and maintaining faultless or efficient systems.
Important Topics for Components of Distributed System
- Communication Infrastructure
- Distributed Data Storage
- Distributed Computing Models
- Distributed Coordination
- Fault Tolerance Mechanisms
- Scalability Techniques
- Security in Distributed Systems
- Distributed System Monitoring and Management
- Deployment and orchestration
- Integration with Cloud Services