These processing systems are based on classical computers that are connected by communication networks. Computational clusters fall into this classification.

In a cluster architecture, we define a node as a single computing unit that takes part in the cluster. For the user, the cluster is fully transparent—all the hardware and software complexity is masked and data and applications are made accessible as if they were all from a single node.

Here, we've identified three types of clusters:

• Fail-over cluster: In this, the node's activity is continuously monitored, and when one stops working, another machine takes over the charge of those activities. The aim is to ensure a continuous service due to the redundancy of the architecture.
• Load balancing cluster: In this system, a job request is sent to the node that has less activity. This ensures that less time is taken to process the job.
• High-performance computing cluster: In this, each node is configured to provide extremely high performance. The process is also divided into multiple jobs on multiple nodes. The jobs are parallelized and will be distributed to different machines.