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
Remote job entry Remote job entry Remote job entry is the procedure for sending requests for data processing tasks or 'jobs' to mainframe computers from remote workstations, and by extension the process of receiving the output from such tasks at a remote workstation. The RJE workstation is called a remote because it usually is located some distance from the host computer. The workstation connects to the host through a modem or local area network (LAN). Today this is known as the client–server model, and RJE is an early form of a request–response architecture. The terms Remote Batch, Remote Job System and Remote Job