Many scientific applications are conceptually built up from independent component tasks as
a parameter study, optimization, or other search. Large batches of these tasks may be …

Recently, Linux container technology has been gaining attention as it promises to transform
the way software is developed and deployed. The portability and ease of deployment makes …

This paper presents a technique that leverages an existing regression test selection
algorithm to compute accurate, updated coverage data on a version of the software, P i+ 1 …

A workflow is a systematic computation or a data-intensive application that has a regular
computation and data access patterns. It is a key to design scalable scheduling algorithms in …

Scientific workflow applications have a large amount of tasks and data sets to be processed
in a systematic manner. These applications benefit from cloud computing platform that offer …

Swift/T: Scalable Data Flow Programming for Many-Task Applications Page 1 Swift/T: Scalable
Data Flow Programming for Many-Task Applications Justin M. Wozniak Argonne National …

Workflow is a common model to represent large computations composed of dependent
tasks. Most existing workflow scheduling algorithms use computing resources in a non …

Swift/T is a high-level language for writing concise, deterministic scripts that compose serial
or parallel codes implemented in lower-level programming models into large-scale parallel …

Understanding the inherent system characteristics is crucial to the design and optimization
of cloud storage system, and few studies have systematically investigated its data …

Abstract The Big Data challenge consists in managing, storing, analyzing and visualizing
these huge and ever growing data sets to extract sense and knowledge. As the volume of …