Work in progress — Integration of the scientific workflow paradigm into high performance computing and large scale data management curricula

With the onset of the digital age, more scientists are using computer simulations to discover and validate new theories. The experiments and tasks have given rise to the use of scientific workflow management systems. However, researchers often develop workflows from scratch, and there is no easy way to integrate various workflow systems and specifications. As a solution, we are developing an innovative approach that addresses scientific workflow management systems in a bottom-up manner: firstly from the operating systems and file systems side where the scientific workflow management systems must reside and interact, and finally to the functionality that the scientific workflow management systems must provide and the World Wide Web on which the scientific workflow management systems must operate. In the systems level, we extend and modify the operating system and file system through optimization techniques. In the applications-level, we examine the need to organize raw data and corresponding metadata alongside the interference of these data with existing computing resources.