Cloud computing is gaining tremendous momentum in both academia and industry. In this context, we define the term “Cloud Workflow” as the specification, execution and provenance tracking of large-scale scientific workflows, as well as the management of data and computing resources to support the execution of large-scale scientific workflows in the Cloud. In this paper, we first analyze the gap ...

Computational models of biological systems aim at accurately simulating in vivo phenomena. They have become a very powerful tool enabling scientists to study complex behavior. A side effect of their success unfortunately exists and is observed as an increasing difficulty in managing data, metadata and a myriad of programs and tools used and produced during a research task. In this work we aim a...

Many scientific applications have large I/O requirements, in terms of both the size of data and the number of files or data sets. Management, storage, efficient access, and analysis of this data present an extremely challenging task. Traditionally, two different solutions have been used for this task: file I/O or databases. File I/O can provide high performance but is tedious to use with large ...

Scientific computation has always been one of the driving forces behind the design of computer systems. As a result, many advances in CPU architecture were first developed for high-speed supercomputer systems, keeping them among the fastest computers in the world. However, little research has been done in storing the vast quantities of data that scientists manipulate on these powerful computers...

Over the last two decades, scientific workflow management systems (SWfMS) have emerged as a means to facilitate the design, execution, and monitoring of reusable scientific data processing pipelines. At the same time, the amounts of data generated in various areas of science outpaced enhancements in computational power and storage capabilities. This is especially true for the life sciences, whe...

In the validation phase of a commercial CFD code, the importance of scientific data management for visualization and knowledge preservation surfaced. The proposed Scientific Data Bag (SDB) solution offers a lightweight method to record metadata and relationship between related datasets in a file structure preserving access to data files in their native format. An interface layer provides servic...