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Journal articles on the topic 'Workflow'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Song, Tianhong, Sven Köhler, Bertram Ludäscher, et al. "Towards Automated Design, Analysis and Optimization of Declarative Curation Workflows." International Journal of Digital Curation 9, no. 2 (2014): 111–22. http://dx.doi.org/10.2218/ijdc.v9i2.337.

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Data curation is increasingly important. Our previous work on a Kepler curation package has demonstrated advantages that come from automating data curation pipelines by using workflow systems. However, manually designed curation workflows can be error-prone and inefficient due to a lack of user understanding of the workflow system, misuse of actors, or human error. Correcting problematic workflows is often very time-consuming. A more proactive workflow system can help users avoid such pitfalls. For example, static analysis before execution can be used to detect the potential problems in a work

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Deng, Ning, Xiao Dong Zhu, Yuan Ning Liu, Yan Pu Li, and Ying Chen. "A Workflow Management Model Based on Workflow Node Property." Applied Mechanics and Materials 442 (October 2013): 450–57. http://dx.doi.org/10.4028/www.scientific.net/amm.442.450.

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Workflow management systems are the powerful tools as well as the best supports for industries which involve series of complex workflows. Specifically, two of the main objectives of workflows management system are (1) ensuring the correctness and integration of workflow advancement, and (2) carrying workflow forward to the maximum extent automatically. To ensure the correctness and integration of workflow management system, in this paper, a workflow management method based on the workflow node property is proposed, and a workflow management system model is given. In addition, in the given mode

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Suetake, Hirotaka, Tomoya Tanjo, Manabu Ishii, et al. "Sapporo: A workflow execution service that encourages the reuse of workflows in various languages in bioinformatics." F1000Research 11 (August 4, 2022): 889. http://dx.doi.org/10.12688/f1000research.122924.1.

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The increased demand for efficient computation in data analysis encourages researchers in biomedical science to use workflow systems. Workflow systems, or so-called workflow languages, are used for the description and execution of a set of data analysis steps. Workflow systems increase the productivity of researchers, specifically in fields that use high-throughput DNA sequencing applications, where scalable computation is required. As systems have improved the portability of data analysis workflows, research communities are able to share workflows to reduce the cost of building ordinary analy

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Liu, Yong Shan, Yan Qing Shen, and Tian Bao Hao. "Research on Reliability Modeling of Cross-Organizational Workflows Based on Hierarchical Colored Petri Nets." Advanced Materials Research 186 (January 2011): 505–9. http://dx.doi.org/10.4028/www.scientific.net/amr.186.505.

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To reduce the complexity of cross-organizational workflow modeling and verification, a reliable modeling method of cross-organizational workflows based on hierarchical colored Petri nets is proposed. At the foundation of discussing formal definitions of global and local workflows, the paper develops reliability modeling constraints of cross-organizational workflows from structure to logic. Under these constraints, a top-down cross-organizational workflow model is built. Those substitution transitions which input places were safe in global workflow are refined by reliable local workflows to gua

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Lamprecht, Anna-Lena, Magnus Palmblad, Jon Ison, et al. "Perspectives on automated composition of workflows in the life sciences." F1000Research 10 (September 7, 2021): 897. http://dx.doi.org/10.12688/f1000research.54159.1.

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Scientific data analyses often combine several computational tools in automated pipelines, or workflows. Thousands of such workflows have been used in the life sciences, though their composition has remained a cumbersome manual process due to a lack of standards for annotation, assembly, and implementation. Recent technological advances have returned the long-standing vision of automated workflow composition into focus. This article summarizes a recent Lorentz Center workshop dedicated to automated composition of workflows in the life sciences. We survey previous initiatives to automate the co

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Oliva, Gustavo Ansaldi, Marco Aurélio Gerosa, Fabio Kon, Virginia Smith, and Dejan Milojicic. "A Static Change Impact Analysis Approach based on Metrics and Visualizations to Support the Evolution of Workflow Repositories." International Journal of Web Services Research 13, no. 2 (2016): 74–101. http://dx.doi.org/10.4018/ijwsr.2016040105.

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In ever-changing business environments, organizations continuously refine their processes to benefit from and meet the constraints of new technology, new business rules, and new market requirements. Workflow management systems (WFMSs) support organizations in evolving their processes by providing them with technological mechanisms to design, enact, and monitor workflows. However, workflows repositories often grow and start to encompass a variety of interdependent workflows. Without appropriate tool support, keeping track of such interdependencies and staying aware of the impact of a change in

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BLIN, MARIE JOSÉ, JACQUES WAINER, and CLAUDIA BAUZER MEDEIROS. "A REUSE-ORIENTED WORKFLOW DEFINITION LANGUAGE." International Journal of Cooperative Information Systems 12, no. 01 (2003): 1–36. http://dx.doi.org/10.1142/s0218843003000553.

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This paper presents a new formalism for workflow process definition, which combines research in programming languages and in database systems. This formalism is based on creating a library of workflow building blocks, which can be progressively combined and nested to construct complex workflows. Workflows are specified declaratively, using a simple high level language, which allows the dynamic definition of exception handling and events, as well as dynamically overriding workflow definition. This ensures a high degree of flexibility in data and control flow specification, as well as in reuse o

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Zulfiqar, Mahnoor, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck, Kristian Peters, and Luiz Gadelha. "Implementation of FAIR Practices in Computational Metabolomics Workflows—A Case Study." Metabolites 14, no. 2 (2024): 118. http://dx.doi.org/10.3390/metabo14020118.

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Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for metabolomics workflows using the Metabolome Annotation Workflow (MAW) as a case study. MAW is specified using the Common Workflow Language (CWL), allowing for the subsequent execution of the workflow on different workflow engines. MAW is registered using a CWL description on Workfl

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WANG, JIACUN, and DEMIN LI. "RESOURCE ORIENTED WORKFLOW NETS AND WORKFLOW RESOURCE REQUIREMENT ANALYSIS." International Journal of Software Engineering and Knowledge Engineering 23, no. 05 (2013): 677–93. http://dx.doi.org/10.1142/s0218194013400135.

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Petri nets are a powerful formalism in modeling workflows. A workflow determines the flow of work according to pre-defined business process. In many situations, business processes are constrained by scarce resources. The lack of resources can cause contention, the need for some tasks to wait for others to complete, which slows down the accomplishment of larger goals. In our previous work, a resource-constrained workflow model was introduced and a resource requirement analysis approach was developed for emergency response workflows, in which support of on-the-fly workflow change is critical [14

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Schuster, H., J. Neeb, and R. Schamburger. "USING DISTRIBUTED OBJECT MIDDLEWARE TO IMPLEMENT SCALABLE WORKFLOW MANAGEMENT SYSTEMS." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 3, no. 2 (1999): 1–19. http://dx.doi.org/10.3233/jid-1999-3201.

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Support of distributed workflow execution and scalability are important issues for workflow management systems. Many cooperating workflow servers should build up a distributed workflow management system to meet the requirements especially of large enterprises. In these enterprises, access to workflows is usually restricted by certain organizational. Consequently, if an agent wants to start a workflow, only a small subset of the workflow servers of the enterprise is eligible to serve this request. One of them has to be selected. In this paper, we develop a formalization of these organizational

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Willoughby, Cerys, and Jeremy G. Frey. "Documentation and Visualisation of Workflows for Effective Communication, Collaboration and Publication @ Source." International Journal of Digital Curation 12, no. 1 (2017): 72–87. http://dx.doi.org/10.2218/ijdc.v12i1.532.

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Workflows processing data from research activities and driving in silico experiments are becoming an increasingly important method for conducting scientific research. Workflows have the advantage that not only can they be automated and used to process data repeatedly, but they can also be reused – in part or whole – enabling them to be evolved for use in new experiments. A number of studies have investigated strategies for storing and sharing workflows for the benefit of reuse. These have revealed that simply storing workflows in repositories without additional context does not enable workflow

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Kaur, Avinash, Pooja Gupta, and Manpreet Singh. "Hybrid Balanced Task Clustering Algorithm for Scientific Workflows in Cloud Computing." Scalable Computing: Practice and Experience 20, no. 2 (2019): 237–58. http://dx.doi.org/10.12694/scpe.v20i2.1515.

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Scientific Workflow is a composition of both coarse-grained and fine-grained computational tasks displaying varying execution requirements. Large-scale data transfer is involved in scientific workflows, so efficient techniques are required to reduce the makespan of the workflow. Task clustering is an efficient technique used in such a scenario that involves combining multiple tasks with shorter execution time into a single cluster to be executed on a resource. This leads to a reduction of scheduling overheads in scientific workflows and thus improvement of performance. However available task c

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Jackson, Michael, Kostas Kavoussanakis, and Edward W. J. Wallace. "Using prototyping to choose a bioinformatics workflow management system." PLOS Computational Biology 17, no. 2 (2021): e1008622. http://dx.doi.org/10.1371/journal.pcbi.1008622.

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Workflow management systems represent, manage, and execute multistep computational analyses and offer many benefits to bioinformaticians. They provide a common language for describing analysis workflows, contributing to reproducibility and to building libraries of reusable components. They can support both incremental build and re-entrancy—the ability to selectively re-execute parts of a workflow in the presence of additional inputs or changes in configuration and to resume execution from where a workflow previously stopped. Many workflow management systems enhance portability by supporting th

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14

Jia, Nan, and Xiao Dong Fu. "A Method to Calculate the Process Similarity of the Manufacturing System Based on Tree Edit Distance." Advanced Materials Research 548 (July 2012): 699–703. http://dx.doi.org/10.4028/www.scientific.net/amr.548.699.

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For various applications in today’s workflow systems, such as process-discovering or clustering, it is necessary to measure the distance between two workflow models. In this paper, we proposed a method to calculate the distance between structured workflows based on tree edit distance. First, we transform workflows into structure trees, and calculate the edit distance between structure trees. Three properties of the workflow distance of workflows are proved, i.e., reflexivity, symmetry, triangle inequality. These properties make the distance measure can be used as a quantitative tool in effecti

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Clarke, Daniel J. B., John Erol Evangelista, Zhuorui Xie, et al. "Playbook workflow builder: Interactive construction of bioinformatics workflows." PLOS Computational Biology 21, no. 4 (2025): e1012901. https://doi.org/10.1371/journal.pcbi.1012901.

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The Playbook Workflow Builder (PWB) is a web-based platform to dynamically construct and execute bioinformatics workflows by utilizing a growing network of input datasets, semantically annotated API endpoints, and data visualization tools contributed by an ecosystem of collaborators. Via a user-friendly user interface, workflows can be constructed from contributed building-blocks without technical expertise. The output of each step of the workflow is added into reports containing textual descriptions, figures, tables, and references. To construct workflows, users can click on cards that repres

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Rodríguez, Ricardo J., Rafael Tolosana-Calasanz, and Omer F. Rana. "A Dynamic Data-throttling Approach to Minimize Workflow Imbalance." ACM Transactions on Internet Technology 19, no. 3 (32) (2019): 1–21. https://doi.org/10.1145/3278720.

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Scientific workflows enable scientists to undertake analysis on large datasets and perform complex scientific simulations. These workflows are often mapped onto distributed and parallel computational infrastructures to speed up their executions. Prior to its execution, a workflow structure may suffer transformations to accommodate the computing infrastructures, normally involving task clustering and partitioning. However, these transformations may cause workflow imbalance because of the difference between execution task times (runtime imbalance) or because of unconsidered data dependencies tha

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Nguyen, P., M. Hilario, and A. Kalousis. "Using Meta-mining to Support Data Mining Workflow Planning and Optimization." Journal of Artificial Intelligence Research 51 (November 29, 2014): 605–44. http://dx.doi.org/10.1613/jair.4377.

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Knowledge Discovery in Databases is a complex process that involves many different data processing and learning operators. Today's Knowledge Discovery Support Systems can contain several hundred operators. A major challenge is to assist the user in designing workflows which are not only valid but also -- ideally -- optimize some performance measure associated with the user goal. In this paper we present such a system. The system relies on a meta-mining module which analyses past data mining experiments and extracts meta-mining models which associate dataset characteristics with workflow descri

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He, Pan, Jie Xu, Kai Gui Wu, and Jun Hao Wen. "A Dynamic Service Pool Size Configuration Mechanism for Service-Oriented Workflow." Advanced Materials Research 186 (January 2011): 499–504. http://dx.doi.org/10.4028/www.scientific.net/amr.186.499.

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Service-oriented workflows are the fundamental structures in service-oriented applications and changes in the workflow could cause dramatic changes in system reliability. In several ways to re-heal workflows in execution, re-sizing service pools in the workflow is practical and easy to implement. In order to quickly adjust to workflow or environmental changes, this paper presents a dynamic service pool size configuration mechanism from the point of view of maintaining workflow reliability. An architecture-based reliability model is used to evaluate the overall reliability of a workflow with se

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Acuña, Ruben, Jacques Chomilier, and Zoé Lacroix. "Managing and Documenting Legacy Scientific Workflows." Journal of Integrative Bioinformatics 12, no. 3 (2015): 65–87. http://dx.doi.org/10.1515/jib-2015-277.

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Summary Scientific legacy workflows are often developed over many years, poorly documented and implemented with scripting languages. In the context of our cross-disciplinary projects we face the problem of maintaining such scientific workflows. This paper presents the Workflow Instrumentation for Structure Extraction (WISE) method used to process several ad-hoc legacy workflows written in Python and automatically produce their workflow structural skeleton. Unlike many existing methods, WISE does not assume input workflows to be preprocessed in a known workflow formalism. It is also able to ide

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Shao, Wei Ping, Chun Yan Wang, Yong Ping Hao, Peng Fei Zeng, and Xiao Lei Xu. "Ontology-Based Workflow Semantic Representation and Modeling Method." Advanced Materials Research 129-131 (August 2010): 50–54. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.50.

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An ontology-based workflow (workflow-ontology) representation method was proposed after analyzing that not only structure information but also semantic information were needed in a workflow model. Workflow-ontology concepts were composed by class and subclass of the workflow. Concepts’ properties including their values and characteristics were redefined, and then, workflow-ontology modeling method was put forward based on the ontology expresses and definitions above. With the example of applying in products examined and approved workflows, the corresponding workflow-ontology model (WFO) was bu

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Singh, Gurmeet, Karan Vahi, Arun Ramakrishnan, 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 re

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Farah, Zaib Khan, Soiland-Reyes Stian, O. Sinnott Richard, Lonie Andrew, Goble Carole, and R. Crusoe Michael. "Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv." GigaScience 8, no. 11 (2019): giz095. https://doi.org/10.5281/zenodo.3528059.

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<strong>Background</strong> The automation of data analysis in the form of <em>scientific workflows</em> has become a widely adopted practice in many fields of research. Computationally driven data-intensive experiments using workflows enable automation, scaling, adaptation, and provenance support. However, there are still several challenges associated with the effective sharing, publication, and reproducibility of such workflows due to the incomplete capture of provenance and lack of interoperability between different technical (software) platforms. <strong>Results</strong> Based on best-prac

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Abdul Aziz, Maslina, Jemal H. Abawajy, and Morshed Chowdhury. "Scheduling Workflow Applications with Makespan and Reliability Constraints." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (2018): 482. http://dx.doi.org/10.11591/ijeecs.v12.i2.pp482-488.

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In the last few years, workflows are becoming richer and more complex. Workflow scheduling management system to be robust, flexible with multicriteria scheduling algorithms. It needs to satisfy the Quality of Service (QoS) parameters. However, QoS parameters and workflow system objectives are often contradictory. In our analysis, we derived an efficient strategy to minimize the overall processing time for scheduling workflows modelled by using Directed Acyclic Graph (DAG). We studied the problem of workflow scheduling that lead to optimizing makespan and reliability. The proposed algorithm han

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Maslina, Abdul Aziz, H. Abawajy Jemal, and Chowdhury Morshed. "Scheduling Workflow Applications with Makespan and Reliability Constraints." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (2018): 482–88. https://doi.org/10.11591/ijeecs.v12.i2.pp482-488.

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In the last few years, workflows are becoming richer and more complex. Workflow scheduling management system to be robust, flexible with multicriteria scheduling algorithms. It needs to satisfy the Quality of Service (QoS) parameters. However, QoS parameters and workflow system objectives are often contradictory. In our analysis, we derived an efficient strategy to minimize the overall processing time for scheduling workflows modelled by using Directed Acyclic Graph (DAG). We studied the problem of workflow scheduling that lead to optimizing makespan and reliability. The proposed algorithm han

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VAN DER AALST, W. M. P. "THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT." Journal of Circuits, Systems and Computers 08, no. 01 (1998): 21–66. http://dx.doi.org/10.1142/s0218126698000043.

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Workflow management promises a new solution to an age-old problem: controlling, monitoring, optimizing and supporting business processes. What is new about workflow management is the explicit representation of the business process logic which allows for computerized support. This paper discusses the use of Petri nets in the context of workflow management. Petri nets are an established tool for modeling and analyzing processes. On the one hand, Petri nets can be used as a design language for the specification of complex workflows. On the other hand, Petri net theory provides for powerful analys

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Lakhwani, Kamlesh, Gajanand Sharma, Ramandeep Sandhu, et al. "Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment." International Journal of Cloud Applications and Computing 13, no. 1 (2023): 1–25. http://dx.doi.org/10.4018/ijcac.324809.

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Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient when virtual machines and other resources work up to their full potential. The main factor that influences the quality of cloud services is the distribution of workflow on virtual machines (VMs). Scheduling tasks to VMs depends on the type of workflow and mechanism of resource allocation. Scientific workflows include large-scale data transfer and consume intensive resources of cloud infrastructures. Therefore, s

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Dinçer, Sevde Gülizar, and Tuğrul Yazar. "A comparative analysis of the digital re-constructions of muqarnas systems: The case study of Sultanhanı muqarnas in Central Anatolia." International Journal of Architectural Computing 19, no. 3 (2021): 360–85. http://dx.doi.org/10.1177/1478077121992487.

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This paper presents a comparative case study on the digital modeling workflows of a particular muqarnas system. After the literature review and the definition of the context, several digital modeling workflows were described as element-based, tessellation-based and block-based workflows by using computer-aided design and parametric modeling software. As the case study of this research, these workflows were tested on a muqarnas design located at the Sultanhanı Caravanserai in Central Anatolia. Then, workflows were compared according to three qualities: analytical, generative, and performative.

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Lu, Pingping, Gongxuan Zhang, Zhaomeng Zhu, Xiumin Zhou, Jin Sun, and Junlong Zhou. "A Review of Cost and Makespan-Aware Workflow Scheduling in Clouds." Journal of Circuits, Systems and Computers 28, no. 06 (2019): 1930006. http://dx.doi.org/10.1142/s021812661930006x.

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Scientific workflow is a common model to organize large scientific computations. It borrows the concept of workflow in business activities to manage the complicated processes in scientific computing automatically or semi-automatically. The workflow scheduling, which maps tasks in workflows to parallel computing resources, has been extensively studied over years. In recent years, with the rise of cloud computing as a new large-scale distributed computing model, it is of great significance to study workflow scheduling problem in the cloud. Compared with traditional distributed computing platform

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Pfaff, Claas-Thido, Karin Nadrowski, Sophia Ratcliffe, Christian Wirth, and Helge Bruelheide. "Readable workflows need simple data." F1000Research 3 (May 14, 2014): 110. http://dx.doi.org/10.12688/f1000research.3940.1.

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Sharing scientific analyses via workflows has great potential to improve the reproducibility of science as well as communicating research results. This is particularly useful for trans-disciplinary research fields such as biodiversity - ecosystem functioning (BEF), where syntheses need to merge data ranging from genes to the biosphere. Here we argue that enabling simplicity in the very beginning of workflows, at the point of data description and merging, offers huge potentials in reducing workflow complexity and in fostering data and workflow reuse. We illustrate our points using a typical ana

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Silva Junior, Daniel, Esther Pacitti, Aline Paes, and Daniel de Oliveira. "Provenance-and machine learning-based recommendation of parameter values in scientific workflows." PeerJ Computer Science 7 (July 5, 2021): e606. http://dx.doi.org/10.7717/peerj-cs.606.

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Scientific Workflows (SWfs) have revolutionized how scientists in various domains of science conduct their experiments. The management of SWfs is performed by complex tools that provide support for workflow composition, monitoring, execution, capturing, and storage of the data generated during execution. In some cases, they also provide components to ease the visualization and analysis of the generated data. During the workflow’s composition phase, programs must be selected to perform the activities defined in the workflow specification. These programs often require additional parameters that

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Zhang, Haoqi, Eric Horvitz, and David Parkes. "Automated Workflow Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 1020–26. http://dx.doi.org/10.1609/aaai.v27i1.8681.

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By coordinating efforts from humans and machines, human computation systems can solve problems that machines cannot tackle alone. A general challenge is to design efficient human computation algorithms or workflows with which to coordinate the work of the crowd. We introduce a method for automated workflow synthesis aimed at ideally harnessing human efforts by learning about the crowd's performance on tasks and synthesizing an optimal workflow for solving a problem. We present experimental results for human sorting tasks, which demonstrate both the benefit of understanding and optimizing the s

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Assuncao, Luis, Carlos Goncalves, and Jose C. Cunha. "Autonomic Workflow Activities." International Journal of Adaptive, Resilient and Autonomic Systems 5, no. 2 (2014): 57–82. http://dx.doi.org/10.4018/ijaras.2014040104.

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Workflows have been successfully applied to express the decomposition of complex scientific applications. This has motivated many initiatives that have been developing scientific workflow tools. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from workflow tasks specification, decentralizing the control of workflow activities, and allowing their tasks to run autonomous in distributed infrastructures, for instance on Clouds. Furthermore many workflow tools only support the execution of Direct Acyclic Graphs (DAG) without the co

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Bahsi, Emir M., Emrah Ceyhan, and Tevfik Kosar. "Conditional Workflow Management: A Survey and Analysis." Scientific Programming 15, no. 4 (2007): 283–97. http://dx.doi.org/10.1155/2007/680291.

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Workflows form the essential part of the process execution both in a single machine and in distributed environments. Although providing conditional structures is not mandatory for a workflow management system, support for conditional workflows is very important in terms of error handling, flexibility and robustness. Several of the existing workflow management systems already support conditional structures via use of different constructs. In this paper, we study the most widely used workflow management systems and their support for conditional structures such as if, switch, and while. We compar

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Xu, Hong Zhen, Bin Tang, Ying Gui, and Huai Ping Wang. "A Dynamic Workflow Management Model Based on Web Services." Key Engineering Materials 439-440 (June 2010): 599–604. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.599.

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Workflow technology has emerged as one of those technologies designed to support modeling, designing and executing business processes. One of the major limitations of current workflow management systems is the lack of flexibility to support dynamic management of workflows. In this paper, we propose a dynamic workflow management model based on web services. We integrate web services and ontology technologies to support dynamic specifying, monitoring, analyzing, designing, configuring and executing workflows. We explain the need and functionality of the main modules and interfaces of the model,

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Wen, Yiping, Junjie Hou, Zhen Yuan, and Dong Zhou. "Heterogeneous Information Network-Based Scientific Workflow Recommendation for Complex Applications." Complexity 2020 (March 19, 2020): 1–16. http://dx.doi.org/10.1155/2020/4129063.

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Scientific workflow is a valuable tool for various complicated large-scale data processing applications. In recent years, the increasingly growing number of scientific processes available necessitates the development of recommendation techniques to provide automatic support for modelling scientific workflows. In this paper, with the help of heterogeneous information network (HIN) and tags of scientific workflows, we organize scientific workflows as a HIN and propose a novel scientific workflow similarity computation method based on metapath. In addition, the density peak clustering (DPC) algor

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Chen, Wei Zeng. "The Operator Workflow Analysis and Skill Standards Determined for Multi-Variety and Small Batch Processing Post." Applied Mechanics and Materials 220-223 (November 2012): 112–16. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.112.

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The method of the traditional workflow design and the skill standards hadn’t been in meeting its demands according to the characteristic of Multi-variety and small-batch processing. The operator workflow analyses were divided into three parts to be discussed in this paper as a common content workflow, character content workflow and temporary content workflow. The general content workflow was optimized by using the classics work study method and choosing the scene team on the other two modules. A new analysis method which took crombag skill defines as the indication basis, was established for t

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Wu, Na, Decheng Zuo, and Zhan Zhang. "Dynamic Fault-Tolerant Workflow Scheduling with Hybrid Spatial-Temporal Re-Execution in Clouds." Information 10, no. 5 (2019): 169. http://dx.doi.org/10.3390/info10050169.

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Improving reliability is one of the major concerns of scientific workflow scheduling in clouds. The ever-growing computational complexity and data size of workflows present challenges to fault-tolerant workflow scheduling. Therefore, it is essential to design a cost-effective fault-tolerant scheduling approach for large-scale workflows. In this paper, we propose a dynamic fault-tolerant workflow scheduling (DFTWS) approach with hybrid spatial and temporal re-execution schemes. First, DFTWS calculates the time attributes of tasks and identifies the critical path of workflow in advance. Then, DF

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Shang, Shi Feng, Jing He Huo, and Zeng Zhang. "QBARM: A Queue Theory-Based Adaptive Resource Usage Model." Advanced Materials Research 756-759 (September 2013): 2523–27. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2523.

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Workflow is becoming a more and more important tool for business operations, scientific research and engineering. Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for workflow executions. During workflow execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization of workflows in the cloud computing environment. In this paper, a workflow framework is proposed that can adaptively use cloud resources. In detail, after users specify the desired goal to achieve, the proposed workflo

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Belhajjame, Khalid. "On the Anonymization of Workflow Provenance without Compromising the Transparency of Lineage." Journal of Data and Information Quality 14, no. 1 (2022): 1–27. http://dx.doi.org/10.1145/3460207.

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Workflows have been adopted in several scientific fields as a tool for the specification and execution of scientific experiments. In addition to automating the execution of experiments, workflow systems often include capabilities to record provenance information, which contains, among other things, data records used and generated by the workflow as a whole but also by its component modules. It is widely recognized that provenance information can be useful for the interpretation, verification, and re-use of workflow results, justifying its sharing and publication among scientists. However, work

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Held, Markus, Wolfgang Küchlin, and Wolfgang Blochinger. "MoBiFlow." International Journal of Service Science, Management, Engineering, and Technology 2, no. 4 (2011): 67–78. http://dx.doi.org/10.4018/ijssmet.2011100107.

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Web-based problem solving environments provide sharing, execution and monitoring of scientific workflows. Where they depend on general purpose workflow development systems, the workflow notations are likely far too powerful and complex, especially in the area of biology, where programming skills are rare. On the other hand, application specific workflow systems may use special purpose languages and execution engines, suffering from a lack of standards, portability, documentation, stability of investment etc. In both cases, the need to support yet another application on the desk-top places a bu

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Represa, Jaime Garcia, Felix Larrinaga, Pal Varga, et al. "Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation." Applied Sciences 13, no. 3 (2023): 1835. http://dx.doi.org/10.3390/app13031835.

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In an era ruled by data and information, engineers need new tools to cope with the increased complexity of industrial operations. New architectural models for industry enable open communication environments, where workflows can play a major role in providing flexible and dynamic interactions between systems. Workflows help engineers maintain precise control over their factory equipment and Information Technology (IT) services, from the initial design stages to plant operations. The current application of workflows departs from the classic business workflows that focus on office automation syst

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McPhillips, Timothy, Tianhong Song, Tyler Kolisnik, et al. "YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts." International Journal of Digital Curation 10, no. 1 (2015): 298–313. http://dx.doi.org/10.2218/ijdc.v10i1.370.

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Scientific workflow management systems offer features for composing complex computational pipelines from modular building blocks, executing the resulting automated workflows, and recording the provenance of data products resulting from workflow runs. Despite the advantages such features provide, many automated workflows continue to be implemented and executed outside of scientific workflow systems due to the convenience and familiarity of scripting languages (such as Perl, Python, R, and MATLAB), and to the high productivity many scientists experience when using these languages. YesWorkflow is

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Arshad, Junaid, Alexander Hoffmann, Sandra Gesing, et al. "Multi-level meta-workflows: new concept for regularly occurring tasks in quantum chemistry." Journal of Cheminformatics 8, no. 1 (2016): 58. https://doi.org/10.1186/s13321-016-0169-8.

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<strong>Background: </strong> In Quantum Chemistry, many tasks are reoccurring frequently, e.g. geometry optimizations, benchmarking series etc. Here, workflows can help to reduce the time of manual job definition and output extraction. These workflows are executed on computing infrastructures and may require large computing and data resources. Scientific workflows hide these infrastructures and the resources needed to run them. It requires significant efforts and specific expertise to design, implement and test these workflows.<strong>Significance: </strong>Many of these workflows are complex

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SMANCHAT, Sucha, and Kanchana VIRIYAPANT. "Scheduling Dynamic Parallel Loop Workflow in Cloud Environment." Walailak Journal of Science and Technology (WJST) 15, no. 1 (2016): 19–27. http://dx.doi.org/10.48048/wjst.2018.2267.

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Scientific workflows have been employed to automate large scale scientific experiments by leveraging computational power provided on-demand by cloud computing platforms. Among these workflows, a parallel loop workflow is used for studying the effects of different input values of a scientific experiment. Because of its independent loop characteristic, a parallel loop workflow can be dynamically executed as parallel workflow instances to accelerate the execution. Such execution negates workflow traversal used in existing works to calculate execution time and cost during scheduling in order to ma

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Su, Guoxin, and Li Liu. "Workflow Trace Profiling and Execution Time Analysis in Quantitative Verification." Future Internet 16, no. 9 (2024): 319. http://dx.doi.org/10.3390/fi16090319.

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Workflows orchestrate a collection of computing tasks to form a complex workflow logic. Different from the traditional monolithic workflow management systems, modern workflow systems often manifest high throughput, concurrency and scalability. As service-based systems, execution time monitoring is an important part of maintaining the performance for those systems. We developed a trace profiling approach that leverages quantitative verification (also known as probabilistic model checking) to analyse complex time metrics for workflow traces. The strength of probabilistic model checking lies in t

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WALKER, CORAL, DASHAN LU, and DAVID W. WALKER. "AUTOMATIC PORTAL GENERATION BASED ON WORKFLOW DESCRIPTION." Parallel Processing Letters 21, no. 02 (2011): 155–71. http://dx.doi.org/10.1142/s012962641100014x.

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Distributed scientific and engineering computations on service-oriented architectures are often represented as data-driven workflows. Workflows are a convenient abstraction that allows users to compose applications in a visual programming environment, and execute them by means of a workflow execution engine. For a large class of scientific applications web-based portals can provide a user-friendly problem-solving environment that hides the complexities of executing workflow applications in a distributed environment. However, the creation and configuration of an application portal requires cons

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Bukhari, S. Sabahat H., and Yunni Xia. "A Novel Completion-Time-Minimization Scheduling Approach of Scientific Workflows Over Heterogeneous Cloud Computing Systems." International Journal of Web Services Research 16, no. 4 (2019): 1–20. http://dx.doi.org/10.4018/ijwsr.2019100101.

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The cloud computing paradigm provides an ideal platform for supporting large-scale scientific-workflow-based applications over the internet. However, the scheduling and execution of scientific workflows still face various challenges such as cost and response time management, which aim at handling acquisition delays of physical servers and minimizing the overall completion time of workflows. A careful investigation into existing methods shows that most existing approaches consider static performance of physical machines (PMs) and ignore the impact of resource acquisition delays in their schedul

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Stromeyer, Sofia, Daniel Wiedemeier, Albert Mehl, and Andreas Ender. "Time Efficiency of Digitally and Conventionally Produced Single-Unit Restorations." Dentistry Journal 9, no. 6 (2021): 62. http://dx.doi.org/10.3390/dj9060062.

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The purpose of this in vitro study was to compare the time efficiency of digital chairside and labside workflows with a conventional workflow for single-unit restorations. The time efficiency in this specific sense was defined as the time, which has to be spent in a dental office by a dental professional performing the relevant steps. A model with interchangeable teeth on position 36 was created. These teeth were differently prepared, responding to several clinical situations to perform single-unit restorations. Different manufacturing techniques were used: For the digital workflows, CEREC Omn

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Khan, Fakhri Alam, Sardar Hussain, Ivan Janciak, and Peter Brezany. "Towards Next Generation Provenance Systems for e-Science." International Journal of Information System Modeling and Design 2, no. 3 (2011): 24–48. http://dx.doi.org/10.4018/jismd.2011070102.

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e-Science helps scientists to automate scientific discovery processes and experiments, and promote collaboration across organizational boundaries and disciplines. These experiments involve data discovery, knowledge discovery, integration, linking, and analysis through different software tools and activities. Scientific workflow is one technique through which such activities and processes can be interlinked, automated, and ultimately shared amongst the collaborating scientists. Workflows are realized by the workflow enactment engine, which interprets the process definition and interacts with th

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Cravo, Glória. "Workflow Modelling and Analysis Based on the Construction of Task Models." Scientific World Journal 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/481767.

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We describe the structure of a workflow as a graph whose vertices represent tasks and the arcs are associated to workflow transitions in this paper. To each task an input/output logic operator is associated. Furthermore, we associate a Boolean term to each transition present in the workflow. We still identify the structure of workflows and describe their dynamism through the construction of new task models. This construction is very simple and intuitive since it is based on the analysis of all tasks present on the workflow that allows us to describe the dynamism of the workflow very easily. So

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