Cluster computing involves connecting multiple computers together to work as a single system. The key components of a cluster include applications, parallel programming environments, cluster middleware, computers connected via a high-speed network switch. There are three main types of clusters: load-balancing clusters which distribute work evenly, high availability clusters which ensure critical applications can failover to another node, and high performance clusters which tackle complex computations.

1. 1
By :
Megha Yadav

2. Cluster Computing
• A computer cluster is a set of loosely
or tightly connected computers that
work together so that they can be
viewed as a single system.
• Each computer that is connected to
the network is called a node.

3. Cluster Computer Architecture

4. Components of Cluster Computer Architecture
• Applications :Parallel and sequential application can be run on cluster.
• Parallel Programming environment :this environment provide tools to work in
parallel environment .
• Cluster Middleware: it include : hardware, OS Kernal, application and subsystem .
• Computers: e.g. PCs ,workstation .
• High speed network switch :high performance switches are used for connection.

5. Types of Cluster computing
• Load-balancing clusters
• High availability (HA) clusters
• High performance (HP) clusters

6. Load-balancing Clusters
• Here workload is equally
distributed across multiple
installed servers in the
cluster network.

7. High availability (HA) clusters or Failover
Clusters
• A group of clusters which ensure
to maintain very high availability of
data and services.
• The purpose is to ensure that single
instance of application is running
on one cluster member at a time
but if the cluster member is not
available than application will
failover to another cluster member

8. High performance (HP) clusters
• This computer networking tactic
use supercomputers and Cluster
computing to resolve complex and
highly advanced computation
problems.

9. Advantages of Cluster Computing
• Cost efficiency
• Processing speed
• Extended resource availability
• Expandability
• Flexibility