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Recently, the awareness of the importance of distributed software development has been growing in the software engineering community. Economic constraints, more and more outsourcing of development activities, and the increasing spatial…

Software Engineering · Computer Science 2014-02-19 Alejandro Fernández , Badie Garzaldeen , Ines Grützner , Jürgen Münch

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from execution of a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-04 Rafael Ferreira da Silva , Rosa M. Badia , Venkat Bala , Debbie Bard , Peer-Timo Bremer , Ian Buckley , Silvina Caino-Lores , Kyle Chard , Carole Goble , Shantenu Jha , Daniel S. Katz , Daniel Laney , Manish Parashar , Frederic Suter , Nick Tyler , Thomas Uram , Ilkay Altintas , Stefan Andersson , William Arndt , Juan Aznar , Jonathan Bader , Bartosz Balis , Chris Blanton , Kelly Rosa Braghetto , Aharon Brodutch , Paul Brunk , Henri Casanova , Alba Cervera Lierta , Justin Chigu , Taina Coleman , Nick Collier , Iacopo Colonnelli , Frederik Coppens , Michael Crusoe , Will Cunningham , Bruno de Paula Kinoshita , Paolo Di Tommaso , Charles Doutriaux , Matthew Downton , Wael Elwasif , Bjoern Enders , Chris Erdmann , Thomas Fahringer , Ludmilla Figueiredo , Rosa Filgueira , Martin Foltin , Anne Fouilloux , Luiz Gadelha , Andy Gallo , Artur Garcia Saez , Daniel Garijo , Roman Gerlach , Ryan Grant , Samuel Grayson , Patricia Grubel , Johan Gustafsson , Valerie Hayot-Sasson , Oscar Hernandez , Marcus Hilbrich , AnnMary Justine , Ian Laflotte , Fabian Lehmann , Andre Luckow , Jakob Luettgau , Ketan Maheshwari , Motohiko Matsuda , Doriana Medic , Pete Mendygral , Marek Michalewicz , Jorji Nonaka , Maciej Pawlik , Loic Pottier , Line Pouchard , Mathias Putz , Santosh Kumar Radha , Lavanya Ramakrishnan , Sashko Ristov , Paul Romano , Daniel Rosendo , Martin Ruefenacht , Katarzyna Rycerz , Nishant Saurabh , Volodymyr Savchenko , Martin Schulz , Christine Simpson , Raul Sirvent , Tyler Skluzacek , Stian Soiland-Reyes , Renan Souza , Sreenivas Rangan Sukumar , Ziheng Sun , Alan Sussman , Douglas Thain , Mikhail Titov , Benjamin Tovar , Aalap Tripathy , Matteo Turilli , Bartosz Tuznik , Hubertus van Dam , Aurelio Vivas , Logan Ward , Patrick Widener , Sean Wilkinson , Justyna Zawalska , Mahnoor Zulfiqar

Scientific workflows are powerful tools for management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provides components that can be utilized within repeatable…

Computers and Society · Computer Science 2019-03-05 Ilkay Altintas , Shweta Purawat , Daniel Crawl , Alok Singh , Kyle Marcus

Scientific workflows are a cornerstone of modern scientific computing. They are used to describe complex computational applications that require efficient and robust management of large volumes of data, which are typically stored/processed…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-03 Rafael Ferreira da Silva , Loïc Pottier , Tainã Coleman , Ewa Deelman , Henri Casanova

An integrated computational framework is introduced to study complex engineering systems through physics-based ensemble simulations on heterogeneous supercomputers. The framework is primarily designed for the quantitative assessment of…

Computational Engineering, Finance, and Science · Computer Science 2022-02-08 Kazuki Maeda , Thiago Teixeira , Jonathan M. Wang , Jeffrey M. Hokanson , Caetano Melone , Mario Di Renzo , Steve Jones , Javier Urzay , Gianluca Iaccarino

Scientific workflow is a powerful tool to streamline and organize computational steps of scientific application. This paper presents Emerald, a system that adds sophisticated cloud offloading capabilities to scientific workflows. Emerald…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-05 Hao Qian

Given the complexity and heterogeneity in Cloud computing scenarios, the modeling approach has widely been employed to investigate and analyze the energy consumption of Cloud applications, by abstracting real-world objects and processes…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-03 Zheng Li , Selome Tesfatsion , Saeed Bastani , Ahmed Ali-Eldin , Erik Elmroth , Maria Kihl , Rajiv Ranjan

Exascale computers offer transformative capabilities to combine data-driven and learning-based approaches with traditional simulation applications to accelerate scientific discovery and insight. However, these software combinations and…

Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This paper examines the application of natural computing in environmental informatics, by…

Neural and Evolutionary Computing · Computer Science 2018-08-02 Andreas Kamilaris

Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, low-latency…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-19 Jing Liu , Yao Du , Kun Yang , Jiaqi Wu , Yan Wang , Xiping Hu , Zehua Wang , Yang Liu , Peng Sun , Azzedine Boukerche , Victor C. M. Leung

In this article are discussed some problems in developing software related to the management of information flows. We presented the basic stages in their development. We bold a methodology for conceptual modeling and design of information…

Software Engineering · Computer Science 2016-06-09 Radoslva Kraleva , Velin Kralev

Despite rapid evolution, embedded computing systems increasingly feature resource constraints and workload uncertainties. To achieve much better system performance in unpredictable environments than traditional design approaches, a novel…

Other Computer Science · Computer Science 2008-12-18 Feng Xia , Youxian Sun

The emergence of connected vehicles is driven by increasing customer and regulatory demands. To meet these, more complex software applications, some of which require service-based cloud and edge backends, are developed. When new software is…

Emerging Technologies · Computer Science 2024-12-18 M. Weiß , J. Stümpfle , F. Dettinger , N. Jazdi , M. Weyrich

Researchers have been highly active to investigate the classical machine learning workflow and integrate best practices from the software engineering lifecycle. However, deep learning exhibits deviations that are not yet covered in this…

Software Engineering · Computer Science 2022-08-30 Janosch Baltensperger , Pasquale Salza , Harald C. Gall

Scientific workflow has become essential in software engineering because it provides a structured approach to designing, executing, and analyzing scientific experiments. Software developers and researchers have developed hundreds of…

Software Engineering · Computer Science 2023-09-15 Khairul Alam , Banani Roy , Alexander Serebrenik

The article deals with the problem of intellectual development of students in learning of physics by means of computer simulation. The main objectives of teaching computer simulation in learning of physics is the general outlook…

Physics Education · Physics 2018-12-04 Yu. V. Yechkalo

Computer-based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system…

Artificial Intelligence · Computer Science 2021-02-03 Xing Su , Yan Kong , Weihua Li

Cross-organisational workflows involve multiple concurrent, collaborative workflows across different departments or organisations, necessitating effective coordination due to their interdependent nature and shared resource requirements. The…

Software Engineering · Computer Science 2026-03-05 Muhammad Rizwan Ali , Violet Ka I Pun , Guillermo Román-Díez

With the rise of computers, simulation models have emerged beside the more traditional statistical and mathematical models as a third pillar for ecological analysis. Broadly speaking, a simulation model is an algorithm, typically…

Populations and Evolution · Quantitative Biology 2018-12-24 Florian Hartig

The increasing availability of cloud computing services for science has changed the way scientific code can be developed, deployed, and run. Many modern scientific workflows are capable of running on cloud computing resources. Consequently,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-11 Peter Vaillancourt , Bennett Wineholt , Brandon Barker , Plato Deliyannis , Jackie Zheng , Akshay Suresh , Adam Brazier , Rich Knepper , Rich Wolski