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Keyword: Scientific workflows
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7 Pages, 836 KB Download PDF

Similarity-based Resource Selection for Scientific Workflows in Cloud Computing

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 6, Page # 67–73, 2018; DOI: 10.25046/aj030606
Abstract:

There are high expectations for commercial cloud services as an economical computation resource when executing scientific computing workflows, for which the computation is increasing on a daily basis. However, no method has been developed for determining whether a scientific computing workflow can be executed at a low usage cost, and thus scientists have difficulty in…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
5 Pages, 738 KB Download PDF

A Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 1, Page # 40–44, 2019; DOI: 10.25046/aj040105
Abstract:

Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to tackle the challenges of collecting, processing and storing such large-scale datasets. High-performance computing…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Software Engineering in Computer Science (CSE))
Open AccessArticle
7 Pages, 810 KB Download PDF

The Chimera and the Cyborg

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 2, Page # 1–7, 2019; DOI: 10.25046/aj040201
Abstract:

High Performance Computing (HPC) systems offer excellent metrics for speed and efficiency when using bare metal hardware, a high speed interconnects, and massively parallel applications. However, this leaves out a significant portion of scientific computational tasks, namely high throughput computing tasks that can be trivially parallelized and scientific workflows that require their own well-defined software…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Interdisciplinary Applications of Computer Science (CSI))

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