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 in remote areas. There are times when a portable weather station is required, such as planned ignitions, wildfires, and other projects where there is a need to collect and share weather information. Portable stations may also be referred to as "quick deploy" or QD, and this should be indicated within the name of the station to allow proper interpretation of the collected data. Remote Automated Weather Station The Remote Automatic Weather Stations (RAWS) system is a network of automated weather stations run by the U.S. Forest Service (USFS) and Bureau of Land Management (BLM) and monitored by the National Interagency