Configuring Systems for High Bandwidth I/O
sponsored by Sun Microsystems, Inc.

Today's systems are designed for throughput. Typically, throughput comes in the form of multiple processing streams that handle many data streams, and performance is measured as the number of Web service transactions, connections per second, and more. However, a class of applications remains that demands very high bandwidth I/O to and from storage devices in a single data stream. For example, operational intelligence and surveillance, epidemic trend analysis and prediction, failure analysis of aircraft and ships, predictive traffic management, weather and ocean forecasting, virtual design, astronomy, human genomics, and other scientific disciplines are data-intensive, and depend on streaming read/write I/O performance.

In such applications, massive data sets must be shared by a community of hundreds or thousands of users distributed worldwide. These users need to be able to transfer large subsets of these data sets to local sites or remote resources for processing. The success and continued proliferation of such advanced data sharing depends heavily on high-performance data acquisition, transfer, and storage for real-time data collection, processing, visualization and simulation. This Sun BluePrints™ article describes a recipe for configuring systems to support the very high bandwidth I/O capabilities needed by data-intensive applications.

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