Data-intensive computing this approach is considered suitable for data-intensive computing and problems which are “embarrassingly parallel”, i.e. where it is relatively easy to separate the problem into a number of parallel tasks and there is no dependency or communication required between the tasks other than overall management of the tasks. These types of data processing problems are inherently adaptable to various forms of distributed computing including clusters, data grids, and cloud computing. Several common characteristics of data-intensive computing systems distinguish them from other forms of computing: A variety of system architectures have been implemented for data-intensive computing and large-scale data analysis applications
Windows MultiPoint Server MultiPoint to be based on Windows Server 2012, and contains several new features and upgrades from previous versions: Windows Server 2016 now includes MultiPoint Services as a role. Includes the ability to deploy a server in a multipoint role. Windows MultiPoint Server Windows MultiPoint Server is an operating system based on Microsoft Windows Server using Remote Desktop Services technology to host multiple simultaneous independent computing stations or terminals connected to a single computer. Windows MultiPoint Server 2012 was the final release as an independent SKU and has been superseded by the MultiPoint Services role in Windows Server 2016. This version