Red Hat Cluster Suite Overview

A cluster computer is a group of (usually locally) networked computers that distribute computing tasks across each individual computer in order to replicate the function of a supercomputer. Cluster computer systems are elaborately set up in comparison to a single supercomputer solution, but cost-effectiveness and modularity make cluster computing
more versatile and appealing.

Storage
Storage clusters provide a consistent file system image across servers in a cluster, allowing the servers to simultaneously read and write to a single shared file system. A storage cluster simplifies storage administration by limiting the installation and patching of applications to one file system. Also, with a cluster-wide file system, a storage cluster eliminates the need for redundant copies of application data and simplifies backup and disaster recovery. Red Hat Cluster Suite provides storage clustering through Red Hat GFS.

Load-balancing Clusters
Load-balancing clusters provide a more practical system for business needs.
As the name implies, that system entails sharing the processing load as evenly as possible across a cluster of computers. That load could be in the form of an application processing load or a network traffic load that needs to be balanced.
Such a system is perfectly suited for large numbers of users running the same set of applications. Each node can handle part of that load, and the load can be dynamically assigned between the nodes to balance it out. The same holds for 5 Cluster Computing network traffic. Often network server applications take in too much incoming traffic to be able to process it quickly enough and thus the traffic needs to be sent to network server applications running on other nodes. That can also be optimized according to the different resources available on each node or the particular environment of the network.

– Cluster deliver load balancing performance
– Commonly used with busy ftp and web servers with large client base
– Large number of nodes to share load
– Front end dispatching node
– Pool of inexpensive
– Back-end servers
– Redirect transactions
– So NO one system is overloaded
– Node failures in a load-balancing cluster are not visible from clients outside the cluster

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