Do you know what a cluster computing is? Clustering may be a common strategy for implementing parallel processing applications because it allows companies to leverage the investment already created in PCs and workstations. Connecting two or more PCs together in such ways that they behave like a single computer. Moreover, clustering is employed for fault tolerance, parallel processing and load balancing.
The recent improvement in high-speed networks and improved microprocessor performance are creating networks or clusters of workstations an appealing vehicle for cost effective parallel computing. Clusters built using commodity software and hardware components are enjoying a significant role in redefining the idea of super computing.
A cluster is a kind of parallel or distributed processing system that consists of a group of interconnected stand-alone computers cooperatively operating together as a single, integrated computing resource. This group or cluster of computers shares common network characteristics just like the same namespace. And it’s accessible to other computers on the network as a single resource. These computers are connected together using high-speed network interfaces between themselves. And the actual binding together of the all the individual computers within the cluster is performed by the OS and also the software used.
Cluster computing has become a hot topic of research among educational and business community including network developers, system designers, standardizing forums, language designers, algorithm developers, faculties and graduate students. Moreover, The utilization of clusters as computing platform isn’t simply restricted to scientific and engineering applications; Also there are several business applications that may have the benefit of the utilization of clusters
There are several exciting areas of development in cluster computing with new concepts; as well as hybrids of recent ones being deployed for production as well as research systems. The goal of this special issue is to collect original and latest work from both academia and industry on various problems associated with cluster computing.
There are certain advantages of using cluster computing. Now let us have a look at these:
- No need to buy your own compute resources.
- Management (hardware and software) of the cluster done by a central department.
- High chance of being assigned more compute power than purchased.
- The jobs will always runs on the least loaded machine.
- In short it’s a WIN-WIN situation.
Depending on the communication prices of the algorithm used to solve the issue, using a cluster may bring zero or negative benefits. On the other hand, there’s a large category of issues which may be cheaply and effectively solved using clusters.
Another reason why clusters became more common recently is society’s growing dependence on computer systems. As we tend to grow more dependent, the price of any failures will increase dramatically. Combined with computer systems’ reputation for poor reliability; has meant that there has been an excellent impetus to develop. And deploy cluster computer solutions to confirm that computer systems stay up 24 hours every day. A cluster designed to satisfy these needs may be a “high availability” cluster.
Another feature that cluster systems provide, which has not been traditionally found in computer systems, is gradual degradation, whereby a system fails slowly and with previous warning so remedial action is often taken in time to avoid a catastrophe.0