The Royal Institution of Naval Architects (RINA)
Grids, clouds and cloud-like infrastructures are capable of supporting a broad range of data-intensive applications. There are interesting and unique performance issues that appear as the volume of data and degree of distribution increases. New scalable data-placement and management techniques, as well as novel approaches to determine the relative placement of data and computational workload, are required. The authors develop and study a genome sequence matching application that is simple to control and deploy, yet serve as a prototype of a data-intensive application.