AUSPICE: AUTOMATIC SERVICE PLANNING IN CLOUD/GRID ENVIRONMENTS

Scientific advancements have ushered in staggering amounts of available data and processes which are now scattered across various locations in the Web, Grid, and more recently, the Cloud. These processes and data sets are often semanti-cally loosely-coupled and must be composed together piecemeal to generate scientific workflows. Understanding how to design, manage, and execute such data-intensive workflows has become increasingly esoteric, confined to a few scientific experts in the field. Despite the development of scientific workflow management systems, which have simplified workflow planning to some extent, a means to reduce the complexity of user interaction without forfeiting some robustness has been elusive. This violates the essence of scientific progress, where information should be accessible to anyone. A high-level querying interface tantamount to common search engines that can not only return a relevant set of scientific workflows, but also facilitate their execution, may be highly beneficial to users. The development of such a system that can abstract the complex task of scien