DataCutter

DataCutter provides a development and deployment framework for establishing data "filter" services that operate on data "streams" between storage systems and user applications. The filter services modify the data in the stream by performing processing on it, resulting in a transformed stream that is presumably closer to what the application needs. Typical use cases include "segmenting" data (removing items that are not needed by the client) and transforming data using high-performance computing resources located near the data (or between the data and the user).

DataCutter can use other Grid services. For example, it can use GSI to authenticate and/or encrypt data streams, GRAM to execute filter processes on high-performance compute resources, and MDS to monitor and discover resources on which filters can be run.