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 Automated Weather Station run on a generator. In both cases, data important to operating the station itself, such as battery voltage or fuel level, is often included in the hourly reports. Also because of the remote locations, most communicate with a modem via telephone, or via a VSAT connection to a GOES satellite. In this regard, they are similar to mesonets and may be mesonets if the distance between stations (spatial resolution) is sufficiently dense. They often lack the consistently high-quality data needed for use in numerical weather prediction and climatology, however. Road Weather Information System (RWIS) may likewise be self-powered and located