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Showing 1 to 16 of 16 for “"Scientific workflow"”.
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Scientific Workflow Integration For Services Computing
<p>In recent years, significant scientific advances are increasingly achieved through complex scientific processes. As the exponential growth in computing technologies and scientific data, a scientific workflow may comprise a large number of heterogeneous scientific services and applications, …
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Towards Collaborative Scientific Workflow Management System
… towards analyzing those massive amount data. Scientific Workflow Management System (SWfMS) has gained much popularity in recent years in accelerating those data-intensive analyses, visualization, and discoveries of important information. Data-intensive tasks are often significantly …
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Efficient Scientific Workflow Scheduling in Cloud Environment
… arising from the computing and data-intensive scientific applications that are not well addressed by the current supercomputers, Linux clusters and Grid technologies. The elastic resource provision, noninterfering resource sharing and flexible customized configuration provided by the Cloud …
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Querying and managing opm-compliant scientific workflow provenance
… metadata that records the derivation history of scientific results, is important in scientific workflows to interpret, validate, and analyze the result of scientific computing. Recently,</p> <p>to promote and facilitate interoperability among heterogeneous provenance systems, the Open Provenance …
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A Scientific Workflow System For Genomic Data Analysis
<p>Scientific workflows have become increasingly popular as a new computing paradigm for scientists to design and execute complex and distributed scientific processes to enable and accelerate many scientific discoveries. Although several scientific workflow management systems (SWFMSs) have been …
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A scientific workflow framework for scientific data querying and processing
… a better framework to manage the new generation scientific research cycle from data capture, data curation to data analysis, data query and data visualization. Scientific workflows are proving to be one of the key technologies for scientists to formalize and structure complex scientific processes …
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A Framework for Grid-Enabling Scientific Workflow Systems. Architecture and application case studies on interoperability and heterogeneity in support for Grid workflow automation.
… a virtual organization (VO) context. Grids and workflows have emerged as vital technologies for addressing the (SOA) paradigm. Given the variety of Grid middleware, scientific workflow systems and Grid workflows available, bringing the two technologies together in a flexible, reusable and …
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Ab initio calculations of phonon properties and spectra in condensed matter
… developed a framework for easily automating the workflows involved in interfacing a phonon mode calculation with the analysis tools for determining such physical properties. This was originally implemented with the AI2PS (ab initio to phonon spectra) tool, meant solely for the calculation of …
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Semantics-enriched workflow creation and management system with an application to document image analysis and recognition
Scientific workflow systems are an established means to model and execute experiments or processing pipelines. Nevertheless, designing workflows can be a daunting task for users due to the complexities of the systems and the sheer number of available processing nodes, each having different …
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CyberWater: An Open Framework for Data and Model Integration
Workflow management systems (WMSs) are commonly used to organize/automate sequences of tasks as workflows to accelerate scientific discoveries. During complex workflow modeling, a local interactive workflow environment is desirable, as users usually rely on their rich, local environments for fast …
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Intelligent orchestration of computation and networking for drone swarm applications
… in terms of trace-based, learning-based, and scientific workflow supported. In addition to this, the application use cases on how drone swarms can benefit in various scenarios, i.e., disaster management, last-mile parcel delivery, and smart farming are also addressed.
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Interoperability of heterogeneous large-scale scientific workflows and data resources
Workflow allows e-Scientists to express their experimental processes in a structured way and provides a glue to integrate remote applications. Since Grid provides an enormously large amount of data and computational resources, executing workflows on the Grid results in significant performance …
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Dossier: Distributed operating system and infrastructure for scientific data management
As scientific advancement and discovery have become increasingly data-driven and interdisciplinary, there are urging needs for advanced cyberinfrastructure to support managing and process- ing scientific data generated from day-to-day research. However, the development of data-driven …
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ENERGY-AWARE JOB SCHEDULING AND CONSOLIDATION APPROACHES FOR WORKFLOWS IN CLOUD
… called multi-procedure energy-aware heuristic scientific workflow scheduling method referred to as Time and Energy Aware Scheduling (TEAS) is proposed to tackle an energy optimization problem. This method is based on a rigorous cost and energy model that could be used to maximize resource …
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Improving The Usability of Software Systems Using Group Discussions: A Case Study on Galaxy
… reproducible codes etc. However, there are many Scientific Workflow Management Systems (SWfMSs) such as Galaxy, Taverna, Kepler, iPlant, VizSciFlow etc. and although these SWfMSs are emerging and important for data extensive research, no study has been done earlier to figure out the usability …
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Performance optimization and energy efficiency of big-data computing workflows
… or even exabyte in the predictable future. These scientific applications typically feature data-intensive workflows comprised of moldable parallel computing jobs, such as MapReduce, with intricate inter-job dependencies. The granularity of task partitioning in each moldable job of such big data …