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Clustered Systems
Clustered systems are computing environments that combine multiple independent computer systems (nodes) to work together as a single logical unit. Unlike parallel systems that have multiple CPUs within a single machine, clustered systems consist of separate computers connected through a network and sharing common storage resources.
Architecture of Clustered Systems
Each node contains cluster software that monitors the system and coordinates operations. The nodes communicate through high-speed networks and access shared storage containing databases, file systems, and applications. When a node fails, other nodes detect the failure and take over its responsibilities.
Types of Clustered Systems
There are two primary clustering configurations based on how nodes are organized and managed −
Asymmetric Clustering System
In asymmetric clustering, one node operates in hot standby mode while other nodes run applications. The standby node continuously monitors active servers and automatically takes over if any node fails. This provides reliable failover capability but doesn't utilize all available hardware resources.
Symmetric Clustering System
Symmetric clustering allows all nodes to run applications simultaneously while monitoring each other. This configuration is more efficient as it utilizes all hardware resources rather than keeping nodes idle in standby mode. Load balancing distributes work evenly across all active nodes.
Clustering Attributes and Use Cases
| Cluster Type | Purpose | Key Features |
|---|---|---|
| Load Balancing Clusters | Performance optimization | Distribute workload across nodes, round-robin request assignment |
| High Availability Clusters | Fault tolerance | Redundant nodes, automatic failover, eliminate single points of failure |
| High Performance Clusters | Computational power | Parallel processing, scientific calculations, complex simulations |
Advantages
Enhanced Performance − Multiple nodes working in parallel provide significantly higher computational power than single systems.
Fault Tolerance − System continues operating even if individual nodes fail, ensuring business continuity and data availability.
Scalability − New nodes can be added dynamically without system downtime, allowing growth based on demand.
Cost Effectiveness − Uses commodity hardware instead of expensive specialized systems while achieving similar performance levels.
Conclusion
Clustered systems provide a robust computing solution that combines multiple independent computers into a unified system. They offer superior fault tolerance, scalability, and performance compared to single-node systems, making them ideal for mission-critical applications and high-demand environments.
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