The world wide web(WWW)has becomecritical for storing and disseminatingbiological data. It offers an additional opportunity, however,to support distributed computation and sharing...
Richard O. Chen, Ramon M. Felciano, Russ B. Altman
With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute s...
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
Stephen Langella, Shannon Hastings, Scott Oster, T...
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...