Earlier computing features were good to solve simple problems but due to Pricing low performance, reliability and some other reasons couldn’t gain manage huge data and previous computing systems can’t solve today’s IT problems. For that, IT departments introduced an innovative approach in solving the limitations of a single system and that was “Cluster Computing”.
What is cluster computing?
Cluster computing refers to the process of sharing the computation task to multiple computers of the cluster. Many of the computers connected on a network and they perform like a single entity. It is a high-performance computing framework which helps in solving more complex operations more efficiently with a faster processing speed and better data integrity and also performs its operations based on the principle of distributed systems.
Clusters’ hardware configuration differs based on selected networking technologies. Cluster is categorized as Open and Close clusters wherein Open Clusters all the nodes need IP’s and those are accessed only through the internet or web. This type of clustering causes enhanced security concerns. And in Closed Clustering, the nodes are concealed behind the gateway node and they offer increased protection.
Types of cluster computing?
The types of cluster computing are described below.
Here workload is equally distributed across multiple installed servers in the cluster network. This type of clustering technique offers the benefits of increased network capacity and enhanced performance. Here the entire nodes stay as cohesive with all the instance where the entire node objects are completely attentive of the requests those are present in the network.
High availability (HA) clusters:
A group of clusters which ensure to maintain very high availability. computers pulled from these systems are considered to be very much reliable and may not face a downtime even possibly on any instance. When there is a single point malfunction, the system seems to be completely reliable as the network has redundant cluster elements. Through the implementation of high availability clusters, systems can go with extended functionality and provides consistent computing services like complicated databases, business activities, customer services like e-websites and network file distribution.
High performance (HP) clusters:
This computer networking tactic use supercomputers and Cluster computing to resolve complex and highly advanced computation problems. Along with the management of IO-dependent applications like web services, high-performance clusters are employed in computational models of climate and in-vehicle breakdowns.
Why cluster computing?
Cost efficiency –
Here, Cost efficiency is the ratio of cost to output, that is the connecting group of the computer as computer cluster much cheaper as compared to mainframe computers.
Processing speed –
It offer the same processing speed as that of mainframe computers and the speed is also equal to supercomputers.
Extended resource availability –
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.
The best benefit of Cluster Computing is that it can be expanded easily by adding the additional desktop workstation to the system. As they instantiate the prospect to combine multiple additional resources or the networks to the prevailing computer system.
it can be easily upgraded to the superior specification or extended through the addition of additional nodes (computer systems).
- It helps in reducing cost. - It improves network technology. - It is always available in all possible situations. - Holds the flexibility to allocate workload as small data portions and which is called grid computing.
It has the capacity to function in many web applications such as Security, Search Engines, Database servers, web servers, proxy, and email.
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