Distributed computing for complex workloads.
Grid computing offers organisations with extraordinary requirements the ability to go beyond the constraints of traditional computing architecture models.
A distributed computing model enables the sharing, selection and aggregation of geographically separated computational resources presenting them as a unified resource on which large-scale, data intensive applications can process significant workloads. Computational grids are a form of distributed computing comprised of many networked computers which together form a virtual super computer which can be leveraged to perform very large tasks. Distributed computing solutions are considered more effective options than building multiprocessor based supercomputers because each node in a grid can be procured as a commoditised piece of hardware benefiting from economies of scale. A grids cost effectiveness can also be increased by extending the grid to include hardware such as desktops which using CPU scavenging can be called upon during overnight periods when their resources are normally dormant.
Although a distributed computing environment can be dedicated to a singular application, it is more common for a grid to be leveraged to perform a wide range of complex tasks and shared across an enterprises applications. The grid model is used by organisations ranging from large investment banks through to scientific laboratories to support their huge resource demands which exceed the maximum processing ability of even the most powerful single computers. Organisations can use grid architectures to perform a host of difficult computational processes such as solving complex scientific problems, analysing large amounts of geological data or performing risk management calculations.
Applications which require multiple parallel computations occur independently without the need to communicate intermediate results between nodes are those best suited to the Grid Computing model. The distributed, commoditised nature of a grid solution enables it to be extended easily to include additional nodes as capacity’s are reached and additional processing power is required. Nodes can also be distributed geographically between multiple datacentres which enables organisations to grow their grid environments without the need for migration.
Exagenica has successfully designed and implemented large scale distributed computing solutions for organisations looking to leverage the power of the Grid. Our team of expert consultants can help you to formulate an effective grid computing strategy and construct a distributed solution that meets all of your computational requirements in a cost effective model.