Earlier computing features were good for solving simple problems, but they cannot sync up with the current day technologies and advancements. Pricing scenarios, low performance, reliability, and some of the other reasons couldn’t gain access to manage massive data and previous computing systems can’t clear today’s IT problems. In the scope of this, IT departments introduced an innovative approach to solving the limitations of a single system and that was “Cluster Computing”. The advantages of this technology allowed many organizations to implement it in their activities. And today the prominence of this made us discuss these concepts. Let’s be clearer about this technology.
What is Cluster Computing?
Cluster computing is a technique in which we connect multiple computers via a network and it works as a single entity. These connected computers form a cluster. When we connect a computer to this network it is called a node.
The connected computers perform operations altogether. Hence it provides a faster computational speed. We connect computers to the network through fast local area networks (LANs). Clustering computers is not expensive as compared to large servers. Moreover, it ensures that the computational space is always available.
Why is Cluster Computing important?
- Cluster computing gives a relatively inexpensive, unconventional to the large server or mainframe computer solutions.
- It resolves the demand for content criticality and processes services in a faster way.
- Many organizations and IT companies are implementing cluster computing to augment their scalability, availability, processing speed, and resource management at economic prices.
- It ensures that computational power is always available.
- It provides a single general strategy for the implementation and application of parallel high-performance systems independent of certain hardware vendors and their product decisions.
Pros and Cons of Cluster Computing
- Cost-Effective: Cluster computing is less expensive than a mainframe computer and it also provides faster performance than the mainframe computer network.
- Processing Speed: Cluster systems provide the same processing speed as that of mainframe computers.
- Resource availability: Computers may also face some technical issues. When a computer in a cluster fails to operate, the other available computer takes over the operations of the failed computer.
- Expandability: We can combine multiple additional computers to the cluster network whenever necessary. This advantage enhances scalability and expandability.
- Flexibility: The existing computer or node can be upgraded as per the requirements to perform operations.
- Finding Faults: Difficult in finding the fault due to a maximum number of hardware.
- Space Needed: Infrastructure may also increase and more servers will be required to monitor the operations.
Types of Cluster Computing
Cluster computing can be segmented based on the requirement and the problem it solves. For example, to increase the availability time, to do load balancing, etc. On that note, here are the broad categories of clusters:
- Load Balancing Clusters: This cluster allocates all the incoming traffic/requests for resources from nodes that run the equal programs and machines. In this cluster model, some nodes are answerable for tracking orders, and if a node declines, therefore the requests are distributed amongst all the nodes available. Such a solution is generally used on web server farms.
- High availability (HA) clusters: A group of clusters that ensure maintaining very high availability. computers pulled from these systems are considered to be very much reliable and may not face downtime even possibly on any instance.
- High-Performance (HP) Clusters: High-Performance cluster uses supercomputers to solve advanced-level computational problems. Nodes need to communicate while they perform their tasks. Although, one must tightly connect the computer via a network for supercomputing work.
Cluster Computing Challenges
Challenges often occur in emerging technology concepts. Clustering increases the complexity of maintaining the nodes. You must install the Operating system and all other applications in each node.
We have to monitor the resources closely in each node. We have to make sure that the software is working correctly on each computer.
Managing data storage is also challenging. Organizations must monitor the shared storage to avoid the overwriting of the data and the distributed data must follow the syncing process correctly.
Well, cluster computing is a loosely connected or tightly coupled computer that effort together so that they can be worked as a single system by the end-users. on top of this logic, these computing systems ensure sustained performance and availability which make these computers vastly popular and client attractive in these competitive markets.