Describe the cluster computing system?

cluster computing is a form of computing in which bunch of computers that are connected through a LAN's so that they behave like a single machine cluster computing system help to solve complex operations more efficiently with a much faster processing speed better a data integrity than a single computer cluster computing is used for parallel programming in which a single program is run in a parallel on a multiple machines.

An example of cluster computing system is

each cluster  consists of a collection of computer nodes that are controlled and access by the means of single master note the master node actually runs a middleware needed for execution of programs and management of the cluster while the computing notes need only standard operating system.

Advantages of Cluster Computing

There are numerous advantages of implementing cluster computing in the applications. Few of them to be discussed are as follows:

Cost efficacy – Even mainframe computers seems to be extremely stable, cluster computing is more in implementation because of their cost-effectiveness and economical. Also, these systems provide enhanced performance than that of mainframe computer networks.

Processing speed – The cluster computing systems offer the same processing speed as that of mainframe computers and the speed is also equal to supercomputers.

Extended resource availability – Computers come across frequent breakdowns, so to eliminate this failure, cluster computers are available with high availability. So, when one node gets failed, the other nodes will be active and will function as a proxy for the failed node. This makes sure for enhanced availability.

Expandability – The next crucial advantage of this cluster computing is its enhanced scalability and expandability. As they instantiate the prospect to combine multiple additional resources or the networks to the prevailing computer system.

Flexibility – Cluster computing can be upgraded to the superior specification or extended through the addition of additional nodes (computer systems).

Applications

• Cluster computing can be implemented in weather modeling
• Stands as support in-vehicle breakdown and nuclear simulations
• Used in image processing and in electromagnetics too
• Perfect to be used in the applications of astrophysics, aerodynamics and in data mining
• Assist to solve complex computational problems
• Holds the flexibility to allocate workload as small data portions and which is called grid computing.
• Cluster computing has the capacity to function in many web applications such as Security, Search Engines, Database servers, web servers, proxy, and email.
• There are life savior applications through this approach like they can forecast the occurrence of earthquakes or tornadoes.