Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …

The concept of scientific workflow makes it possible to link and control different tasks to carry
out a complex treatment. The complicated workflow is generated by scientific distributed …

Task scheduling is a crucial key component for the efficient execution of data-intensive
applications on distributed environments, by which many machines must be coordinated to …

The growing demands for data processing by new data-intensive applications are putting
pressure on the performance and capacity of HPC storage systems. The advancement in …

As data intensive scientific computing systems become more widespread, there is a
necessity of simplifying the development, deployment, and execution of complex data …

Computer applications are growing in terms of data management requirements. In both
scientific and engineering domains, high-performance computing clusters tend to …

The ever-increasing power of supercomputer systems is both driving and enabling the
emergence of new problem-solving methods that require the efficient execution of many …

Abstract The Data Mining Cloud Framework (DMCF) is an environment for designing and
executing data analysis workflows in cloud platforms. Currently, DMCF relies on the default …

This paper explores novel techniques for improving the performance of many-task workflows
based on the Swift scripting language. We propose novel programmer options for automated …

Spectrum based fault localization techniques such as Tarantula and Ochiai calculate the
suspiciousness score of a program statement using the number of failing and passing test …