Relevant bibliographies by topics / Grid workflow

Academic literature on the topic 'Grid workflow'

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Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Grid workflow"

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Balis, Bartosz, Marian Bubak, and Bartłomiej Łabno. "Monitoring of Grid Scientific Workflows." Scientific Programming 16, no. 2-3 (2008): 205–16. http://dx.doi.org/10.1155/2008/849354.

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Scientific workflows are a means of conducting in silico experiments in modern computing infrastructures for e-Science, often built on top of Grids. Monitoring of Grid scientific workflows is essential not only for performance analysis but also to collect provenance data and gather feedback useful in future decisions, e.g., related to optimization of resource usage. In this paper, basic problems related to monitoring of Grid scientific workflows are discussed. Being highly distributed, loosely coupled in space and time, heterogeneous, and heavily using legacy codes, workflows are exceptionally challenging from the monitoring point of view. We propose a Grid monitoring architecture for scientific workflows. Monitoring data correlation problem is described and an algorithm for on-line distributed collection of monitoring data is proposed. We demonstrate a prototype implementation of the proposed workflow monitoring architecture, the GEMINI monitoring system, and its use for monitoring of a real-life scientific workflow.
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Kukla, Tamas, Tamas Kiss, Peter Kacsuk, and Gabor Terstyanszky. "Integrating Open Grid Services Architecture Data Access and Integration with computational Grid workflows." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1897 (June 28, 2009): 2521–32. http://dx.doi.org/10.1098/rsta.2009.0040.

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Although many scientific applications rely on data stored in databases, most workflow management systems are not capable of establishing database connections during workflow execution. For this reason, e-Scientists have to use different tools before workflow submission to access their datasets and gather the required data on which they want to carry out computational experiments. Open Grid Services Architecture Data Access and Integration (OGSA-DAI) is a good candidate to use as middleware providing access to several structured and semi-structured database products through Web/Grid services. The integration technique and its reference implementation described in this paper enable e-Scientists to reach databases via OGSA-DAI within their scientific workflows at run-time and give a general solution that can be adopted by any workflow management system.
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Bosin, Andrea, Nicoletta Dessì, Bairappan Madusudhanan, and Barbara Pes. "A SOA-Based Environment Supporting Collaborative Experiments in E-Science." International Journal of Web Portals 3, no. 3 (July 2011): 12–26. http://dx.doi.org/10.4018/jwp.2011070102.

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Many sophisticated environments allow creating and managing of scientific workflows, whereas the workflow itself is provided as a service. Scientific Grids handle large amounts of data and share resources, but the implementation of service-based applications that use scientific infrastructures remains a challenging task, due to the heterogeneity of Grid middleware and different programming models. This paper proposes an e-Science environment providing functionality in a simplified way, considering the Grid as a source of computational power and an information infrastructure. To promote integration among components and user interaction, the paper outlines a SOA-based scientific environment where an experiment is modeled through an abstract workflow defining the functional model of the experiment. The tasks are mapped to the corresponding scientific services by a workflow engine, separating logical aspects from implementation issues. Services depend on the type of experiment and can be re-used, wrapped, or moved into a new workflow. Infrastructural services discover suitable resources that match user requirements and schedule workflow tasks. Further, they monitor the execution of each task and aggregate the results. The proposed approach provides a simple-to-use and standardized way for the deployment of scientific workflows in a distributed scientific environment, including the Grid.
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Elmsheuser, Johannes, Alessandro Di Girolamo, Andrej Filipcic, Antonio Limosani, Markus Schulz, David Smith, Andrea Sciaba, and Andrea Valassi. "ATLAS Grid Workflow Performance Optimization." EPJ Web of Conferences 214 (2019): 03021. http://dx.doi.org/10.1051/epjconf/201921403021.

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The CERN ATLAS experiment grid workflow system manages routinely 250 to 500 thousand concurrently running production and analysis jobs to process simulation and detector data. In total more than 370 PB of data is distributed over more than 150 sites in the WLCG. At this scale small improvements in the software and computing performance and workflows can lead tosignificant resource usage gains. ATLAS is reviewing together with CERN IT experts several typical simulation and data processing workloads for potential performance improvements in terms of memory and CPU usage, disk and network I/O. All ATLASproduction and analysis grid jobs are instrumented to collect many performance metrics for detailed statistical studies using modern data analytics tools like ElasticSearch and Kibana. This presentation will review and explain the performance gains of several ATLAS simulation and data processing workflows and present analytics studies of the ATLAS grid workflows.
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Nguyen, Binh Thanh, Duc Huu Nguyen, Thuy Thanh Nguyen, and Doan Bang Hoang. "Design of a Workflow-Based Grid Framework." International Journal of Computer Theory and Engineering 8, no. 1 (February 2016): 14–23. http://dx.doi.org/10.7763/ijcte.2016.v8.1013.

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Liu, Yue Hua. "Applied Technology in the Grid Workflow Quality of Service Calculation and Estimation." Advanced Materials Research 859 (December 2013): 531–36. http://dx.doi.org/10.4028/www.scientific.net/amr.859.531.

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For the grid workflow system include a large of candidate services, the activity scheduling in workflow’s ex-ecution base on quality of service (QoS) constraints can pro-vide optimal service for users. This paper established the QoS’s parameter system with applied technology of grid workflow, and introduced the each parameter’s calculation model of activity’s QoS, the grid work-flow’s QoS estimation method based on the basic flow control structures defined by the abstract grid workflow language (AGWL). The experimental results show that the calculation method in this paper can estimate stably QoS parameter values of grid workflow combining with the multi candidate services, and, can provide a reasonable basis for process scheduling based on QoS constraints.
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Singh, Gurmeet, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou, et al. "Optimizing Workflow Data Footprint." Scientific Programming 15, no. 4 (2007): 249–68. http://dx.doi.org/10.1155/2007/701609.

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In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage resources. Our approach is two-fold: we minimize the amount of space a workflow requires during execution by removing data files at runtime when they are no longer needed and we demonstrate that workflows may have to be restructured to reduce the overall data footprint of the workflow. We show the results of our data management and workflow restructuring solutions using a Laser Interferometer Gravitational-Wave Observatory (LIGO) application and an astronomy application, Montage, running on a large-scale production grid-the Open Science Grid. We show that although reducing the data footprint of Montage by 48% can be achieved with dynamic data cleanup techniques, LIGO Scientific Collaboration workflows require additional restructuring to achieve a 56% reduction in data space usage. We also examine the cost of the workflow restructuring in terms of the application's runtime.
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Cybok, Dieter. "A Grid workflow infrastructure." Concurrency and Computation: Practice and Experience 18, no. 10 (2006): 1243–54. http://dx.doi.org/10.1002/cpe.998.

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Neubauer, Falk, Andreas Hoheisel, and Joachim Geiler. "Workflow-based Grid applications." Future Generation Computer Systems 22, no. 1-2 (January 2006): 6–15. http://dx.doi.org/10.1016/j.future.2005.08.002.

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Prajapati, Harshadkumar B., and Vipul A. Shah. "Bandwidth-Aware Scheduling of Workflow Application on Multiple Grid Sites." Journal of Computer Networks and Communications 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/529835.

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Bandwidth-aware workflow scheduling is required to improve the performance of a workflow application in a multisite Grid environment, as the data movement cost between two low-bandwidth sites can adversely affect the makespan of the application. Pegasus WMS, an open-source and freely available WMS, cannot fully utilize its workflow mapping capability due to unavailability of integration of any bandwidth monitoring infrastructure in it. This paper develops the integration of Network Weather Service (NWS) in Pegasus WMS to enable the bandwidth-aware mapping of scientific workflows. Our work demonstrates the applicability of the integration of NWS by making existing Heft site-selector of Pegasus WMS bandwidth aware. Furthermore, this paper proposes and implements a new workflow scheduling algorithm—Level based Highest Input and Processing Weight First. The results of the performed experiments indicate that the bandwidth-aware workflow scheduling algorithms perform better than bandwidth-unaware algorithms: Random and Heft of Pegasus WMS. Moreover, our proposed workflow scheduling algorithm performs better than the bandwidth-aware Heft algorithms. Thus, the proposed bandwidth-aware workflow scheduling enhances capability of Pegasus WMS and can increase performance of workflow applications.
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Dissertations / Theses on the topic "Grid workflow"

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Zheng, Wei. "Explorations in grid workflow scheduling." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/explorations-in-grid-workflow-scheduling(7766d1b8-8c6c-44da-8b5c-df45329fa3a5).html.

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Aiming at aggregating numerous distributed resources to provide immense computing power, Grid computing has emerged as a promising paradigm to run complex composite applications such as workflows. However, the inherent uncertainties of grid systems as well as the structural complexity of workflow applications make it extremely challenging to schedule workflows in an efficient way, regardless of whether the objective is to minimize execution time or meet specific user and/or system Quality of Service (QoS) requirements. For both these cases, this thesis considers scheduling problems motivated by grid uncertainties and advances the state-of-the-art by developing new techniques to address these problems.First, based on existing scheduling heuristics, a Monte-Carlo approach is developed to minimize the average makespan (i.e., the overall execution time) in the presence of task estimates exhibiting limited uncertainty in the form of (controlled) random behaviour. Next, a scenario where performance prediction is difficult to obtain and resource availability may vary over time, is considered. A low-cost efficient just-in-time heuristic is proposed to cope with grid uncertainties.After addressing these performance-driven scheduling problems, a QoS-driven problem, which considers not only the aforementioned uncertainties but also the uncertainty caused by queue-based scheduling, is examined. In order to tackle all these uncertainties, an integrated scheduling model consisting of three supportive techniques is developed. Extensive evaluation using simulation shows that the proposed techniques can achieve substantial improvements towards the ultimate goal of providing a good solution for QoS-driven workflow scheduling on the Grid.
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Schneider, Jörg. "Grid workflow scheduling based on incomplete information /." kostenfrei, 2010. http://opus.kobv.de/tuberlin/volltexte/2010/2574/.

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Wang, Yan. "Integration eines Workflow-Systems in das Grid." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10605159.

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Thandavan, Ashish. "Supporting multiple workflow systems in a grid access environment." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515799.

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Azam, Nabeel Adeem. "A framework for grid-enabling scientific workflow systems : architecture and application case studies on interoperability and heterogeneity in support for grid workflow automation." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5442.

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Since the early 2000s, Service Oriented Architectures (SOAs) have played a key role in the development of complex applications within 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 generalized way has been largely overlooked, particularly from a scientific end user perspective. The lack of domain focus in this area has led to a slow uptake of Grid technologies. This thesis aims to design a framework for Grid-enabling workflows, which identifies the essential technological components, how these components fit together in layered architecture and the interactions between them. To produce such a framework, this thesis first investigates the definition of a Grid-workflow architecture and mapping Grid functionality to workflow nodes, focusing on striking a balance between performance, usability and the Grid functionality supported. Next, it presents an examination of framework extensions for supporting various forms of Grid heterogeneity, essential for ii VO based collaboration. Given the complex nature of Grid technologies, the work presented here investigates abstracting Grid based workflows through high-level definitions and resolution using semantic technologies. Finally, this thesis presents a way to resolves abstract Grid workflows using semantic technologies and intelligent, autonomous agents. The frameworks presented in this thesis are tested and evaluated within the context of domain-based case studies defined in the SIMDAT, BRIDGE and ARGUGRID EU funded research projects.
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Azam, Nabeel A. "A Framework for Grid-Enabling Scientific Workflow Systems. Architecture and application case studies on interoperability and heterogeneity in support for Grid workflow automation." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5442.

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Since the early 2000s, Service Oriented Architectures (SOAs) have played a key role in the development of complex applications within 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 generalized way has been largely overlooked, particularly from a scientific end user perspective. The lack of domain focus in this area has led to a slow uptake of Grid technologies. This thesis aims to design a framework for Grid-enabling workflows, which identifies the essential technological components, how these components fit together in layered architecture and the interactions between them. To produce such a framework, this thesis first investigates the definition of a Grid-workflow architecture and mapping Grid functionality to workflow nodes, focusing on striking a balance between performance, usability and the Grid functionality supported. Next, it presents an examination of framework extensions for supporting various forms of Grid heterogeneity, essential for ii VO based collaboration. Given the complex nature of Grid technologies, the work presented here investigates abstracting Grid based workflows through high-level definitions and resolution using semantic technologies. Finally, this thesis presents a way to resolves abstract Grid workflows using semantic technologies and intelligent, autonomous agents. The frameworks presented in this thesis are tested and evaluated within the context of domain-based case studies defined in the SIMDAT, BRIDGE and ARGUGRID EU funded research projects.
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Chen, Jinjun, and n/a. "Towards effective and efficient temporal verification in grid workflow systems." Swinburne University of Technology, 2007. http://adt.lib.swin.edu.au./public/adt-VSWT20070424.112326.

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In grid architecture, a grid workflow system is a type of high-level grid middleware which aims to support large-scale sophisticated scientific or business processes in a variety of complex e-science or e-business applications such as climate modelling, disaster recovery, medical surgery, high energy physics, international stock market modelling and so on. Such sophisticated processes often contain hundreds of thousands of computation or data intensive activities and take a long time to complete. In reality, they are normally time constrained. Correspondingly, temporal constraints are enforced when they are modelled or redesigned as grid workflow specifications at build-time. The main types of temporal constraints include upper bound, lower bound and fixed-time. Then, temporal verification would be conducted so that we can identify any temporal violations and handle them in time. Conventional temporal verification research and practice have presented some basic concepts and approaches. However, they have not paid sufficient attention to overall temporal verification effectiveness and efficiency. In the context of grid economy, any resources for executing grid workflows must be paid. Therefore, more resources should be mainly used for execution of grid workflow itself rather than for temporal verification. Poor temporal verification effectiveness or efficiency would cause more resources diverted to temporal verification. Hence, temporal verification effectiveness and efficiency become a prominent issue and deserve an in-depth investigation. This thesis systematically investigates the limitations of conventional temporal verification in terms of temporal verification effectiveness and efficiency. The detailed analysis of temporal verification effectiveness and efficiency is conducted for each step of a temporal verification cycle. There are four steps in total: Step 1 - defining temporal consistency; Step 2 - assigning temporal constraints; Step 3 - selecting appropriate checkpoints; and Step 4 - verifying temporal constraints. Based on the investigation and analysis, we propose some new concepts and develop a set of innovative methods and algorithms towards more effective and efficient temporal verification. Comparisons, quantitative evaluations and/or mathematical proofs are also presented at each step of the temporal verification cycle. These demonstrate that our new concepts, innovative methods and algorithms can significantly improve overall temporal verification effectiveness and efficiency. Specifically, in Step 1, we analyse the limitations of two temporal consistency states which are defined by conventional verification work. After, we propose four new states towards better temporal verification effectiveness. In Step 2, we analyse the necessity of a number of temporal constraints in terms of temporal verification effectiveness. Then we design a novel algorithm for assigning a series of finegrained temporal constraints within a few user-set coarse-grained ones. In Step 3, we discuss the problem of existing representative checkpoint selection strategies in terms of temporal verification effectiveness and efficiency. The problem is that they often ignore some necessary checkpoints and/or select some unnecessary ones. To solve this problem, we develop an innovative strategy and corresponding algorithms which only select sufficient and necessary checkpoints. In Step 4, we investigate a phenomenon which is ignored by existing temporal verification work, i.e. temporal dependency. Temporal dependency means temporal constraints are often dependent on each other in terms of their verification. We analyse its impact on overall temporal verification effectiveness and efficiency. Based on this, we develop some novel temporal verification algorithms which can significantly improve overall temporal verification effectiveness and efficiency. Finally, we present an extension to our research about handling temporal verification results since these verification results are based on our four new temporal consistency states. The major contributions of this research are that we have provided a set of new concepts, innovative methods and algorithms for temporal verification in grid workflow systems. With these, we can significantly improve overall temporal verification effectiveness and efficiency. This would eventually improve the overall performance and usability of grid workflow systems because temporal verification can be viewed as a service or function of grid workflow systems. Consequently, by deploying the new concepts, innovative methods and algorithms, grid workflow systems would be able to better support large-scale sophisticated scientific and business processes in complex e-science and e-business applications in the context of grid economy.
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Chen, Jinjun. "Towards effective and efficient temporal verification in grid workflow systems." Australasian Digital Thesis Program, 2007. http://adt.lib.swin.edu.au/public/adt-VSWT20070424.112326/index.html.

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Thesis (Ph.D) - Swinburne University of Technology, Faculty of Information & Communication Technologies, Centre for Information Technology Research, 2007.
A thesis to CITR - Centre for Information Technology Research, Faculty of Information and Communication Technologies, Swinburne University of Technology, for the degree of Doctor of Philosophy, 2007. Typescript. Bibliography p. 145-160.
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Martínez, Gustavo Enrique. "Frame work for Integrating Scheduling Policies into Workflow Engines." Doctoral thesis, Universitat Autònoma de Barcelona, 2011. http://hdl.handle.net/10803/79127.

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En este trabajo se ha desarrollado una nueva solución para la integración de políticas de planificación de workflows en sistemas gestores de workflows (workflow engines). SchedFlow es la solución propuesta e implementada, la cual Permite que un usuario final pueda utilizar la política de planificación que desee, ya sea esta estática o dinámica, sin necesidad de modificar el sistema gestor de workflow. Además SchedFlow toma en cuenta cuando una tarea del workflow no se puede ejecutar por eventos externos, como que una máquina está siendo utilizada por el usuario principal de la misma. En este tipo de escenarios SchedFlow realiza la replanificación de tareas, siempre bajo la política de planificación definida o elegida por el usuario. Como resultado se ha obtenido una aportación novedosa ya que normalmente si el usuario desea utilizar una política de planificación específica, deberá modificar el gestor de workflow para que soporte dicha política de planificación. Un punto importante a destacar, es que esta tesis además de contener un estudio exhaustivo de la bibliografía existente en el área, y de realizar un análisis de problema y diseño de solución propuesta, implementa la solución en un entorno oportunístico real. Los resultados de esta tesis para la planificación de workflows en entornos Grid, abre una nueva vía para el estudio de políticas de planificación para este tipo de aplicaciones, que será aprovechado por futuras investigaciones en la UAB.
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Sommerfeld, Dietmar [Verfasser]. "Gridification and workflow scheduling for the german D-grid / Dietmar Sommerfeld." Clausthal-Zellerfeld : Universitätsbibliothek Clausthal, 2013. http://d-nb.info/1031970649/34.

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Books on the topic "Grid workflow"

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Taylor, Ian J., Ewa Deelman, Dennis B. Gannon, and Matthew Shields. Workflows for e-Science: Scientific Workflows for Grids. Springer, 2014.

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(Editor), Ian J. Taylor, Ewa Deelman (Editor), Dennis B. Gannon (Editor), and Matthew Shields (Editor), eds. Workflows for e-Science: Scientific Workflows for Grids. Springer, 2006.

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Grid Computing: Experiment Management, Tool Integration, and Scientific Workflows (Lecture Notes in Computer Science). Springer, 2007.

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Redbooks, IBM. Patterns: Serial And Parallel Processes for Process Choreography And Workflow (Websphere Software). IBM.Com/Redbooks, 2004.

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Book chapters on the topic "Grid workflow"

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Deelman, Ewa, James Blythe, Yolanda Gil, and Carl Kesselman. "Workflow Management in Griphyn." In Grid Resource Management, 99–116. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0509-9_7.

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Guo, Wencai, Yang Yang, and Zhengli Zhai. "Grid Services Adaptation in a Grid Workflow." In Grid and Cooperative Computing - GCC 2005, 172–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11590354_24.

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Gubała, Tomasz, Marian Bubak, Maciej Malawski, and Katarzyna Rycerz. "Semantic-Based Grid Workflow Composition." In Parallel Processing and Applied Mathematics, 651–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752578_78.

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Zhang, Shaohua, Yujin Wu, and Ning Gu. "Adaptive Grid Workflow Scheduling Algorithm." In Grid and Cooperative Computing - GCC 2004 Workshops, 140–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30207-0_18.

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Sipos, Gergely, Gareth J. Lewis, Péter Kacsuk, and Vassil N. Alexandrov. "Workflow-Oriented Collaborative Grid Portals." In Advances in Grid Computing - EGC 2005, 434–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11508380_45.

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Babik, Marian, Michal Laclavik, Zoltan Balogh, Ladislav Hluchy, and Ondrej Habala. "Knowledge-Based Grid Workflow System." In Computational Science – ICCS 2007, 265–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72588-6_45.

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Cao, Jian, Yujie Mou, Jie Wang, Shensheng Zhang, and Minglu Li. "A Dynamic Grid Workflow Model Based On Workflow Component Reuse." In Grid and Cooperative Computing - GCC 2005, 424–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11590354_52.

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Zhang, Shao-hua, Yu-jin Wu, Ning Gu, and Wei Wang. "Grid Workflow Based on Performance Evaluation." In Grid and Cooperative Computing, 770–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24679-4_131.

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Dou, Wan-Chun, Juan Sun, Da-Gang Yang, and Shi-Jie Cai. "Data and Interaction Oriented Workflow Execution." In Grid and Cooperative Computing, 1042–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24680-0_164.

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Floros, Evangelos, George Kakaletris, Paul Polydoras, and Yannis Ioannidis. "Query Processing Over The Grid: The Role Of Workflow Management." In Grid Computing, 1–12. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09457-1_1.

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Conference papers on the topic "Grid workflow"

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Rahman, Mustafizur, Rajiv Ranjan, and Rajkumar Buyya. "Dependable workflow scheduling in global Grids." In 2009 10th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2009. http://dx.doi.org/10.1109/grid.2009.5353069.

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Fahringer, T., J. Qin, and S. Hainzer. "Specification of grid workflow applications with AGWL: an Abstract Grid Workflow Language." In CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005. IEEE, 2005. http://dx.doi.org/10.1109/ccgrid.2005.1558629.

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Stratan, Corina, Alexandru Iosup, and Dick H. J. Epema. "A performance study of grid workflow engines." In 2008 9th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2008. http://dx.doi.org/10.1109/grid.2008.4662779.

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Chen, Wei, Alan Fekete, and Young Choon Lee. "Exploiting deadline flexibility in Grid workflow rescheduling." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5697962.

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Janciak, Ivan, Christian Kloner, and Peter Brezany. "Workflow enactment engine for WSRF-compliant services orchestration." In 2008 9th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2008. http://dx.doi.org/10.1109/grid.2008.4662776.

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Haijun Cao, Hai Jin, Xiaoxin Wu, Song Wu, and Xuanhua Shi. "DAGMap: Efficient scheduling for DAG grid workflow job." In 2008 9th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2008. http://dx.doi.org/10.1109/grid.2008.4662778.

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Kim, Kwanghoon, and Minseok Oh. "A Workflow Fragmentation Framework for Enterprise Grid Workflow Systems." In 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops. IEEE, 2010. http://dx.doi.org/10.1109/waina.2010.67.

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Aouad, Lamine M., Nhien-An Le-Khac, and Tahar Kechadi. "Persistent Workflow on the Grid." In 2008 IEEE Asia-Pacific Services Computing Conference (APSCC). IEEE, 2008. http://dx.doi.org/10.1109/apscc.2008.181.

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Lee, Young Choon, Albert Y. Zomaya, and Mazin Yousif. "Reliable workflow execution in distributed systems for cost efficiency." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5697959.

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Chiu, David, Sagar Deshpande, Gagan Agrawal, and Rongxing Li. "Cost and accuracy sensitive dynamic workflow composition over grid environments." In 2008 9th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2008. http://dx.doi.org/10.1109/grid.2008.4662777.

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Reports on the topic "Grid workflow"

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Earl, Charles. Insightful Workflow For Grid Computing. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/941421.

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Bauer, Andrew, James Forsythe, Jayanarayanan Sitaraman, Andrew Wissink, Buvana Jayaraman, and Robert Haehnel. In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40846.

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Abstract:
The CREATE-AV™ Helios CFD simulation code has been used to accurately predict rotorcraft performance under a variety of flight conditions. The Helios package contains a suite of tools that contain almost the entire set of functionality needed for a variety of workflows. These workflows include tools customized to properly specify many in situ analysis and visualization capabilities appropriate for rotorcraft analysis. In situ is the process of computing analysis and visualization information during a simulation run before data is saved to disk. In situ has been referred to with a variety of terms including co-processing, covisualization, coviz, etc. In this paper we describe the customization of the pre-processing GUI and corresponding development of the Helios solver code-base to effectively implement in situ analysis and visualization to reduce file IO and speed up workflows for CFD analysts. We showcase how the workflow enables the wide variety of Helios users to effectively work in post-processing tools they are already familiar with as opposed to forcing them to learn new tools in order post-process in situ data extracts being produced by Helios. These data extracts include various sources of information customized to Helios, such as knowledge about the near- and off-body grids, internal surface extracts with patch information, and volumetric extracts meant for fast post-processing of data. Additionally, we demonstrate how in situ can be used by workflow automation tools to help convey information to the user that would be much more difficult when using full data dumps.
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