The Experts below are selected from a list of 19593 Experts worldwide ranked by ideXlab platform
John A Miller - One of the best experts on this subject based on the ideXlab platform.
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a multilevel secure workflow management system
Conference on Advanced Information Systems Engineering, 1999Co-Authors: Myong H Kang, Judith N Froscher, Amit P Sheth, Krys Kochut, John A MillerAbstract:The Department of Defense (DoD) needs multilevel secure (MLS) workflow management systems to enable globally distributed users and applications to cooperate across classification levels to achieve mission critical goals. An MLS workflow management system that allows a user to program multilevel mission logic, to securely coordinate widely distributed tasks, and to monitor the progress of the workflow across classification levels is required. In this paper, we present a roadmap for implementing MLS workflows and focus on a workflow builder that is a graphical design tool for specifying such workflows.
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CAiSE - A Multilevel Secure workflow management system
Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 1999Co-Authors: Myong H Kang, Judith N Froscher, Amit P Sheth, Krys Kochut, John A MillerAbstract:The Department of Defense (DoD) needs multilevel secure (MLS) workflow management systems to enable globally distributed users and applications to cooperate across classification levels to achieve mission critical goals. An MLS workflow management system that allows a user to program multilevel mission logic, to securely coordinate widely distributed tasks, and to monitor the progress of the workflow across classification levels is required. In this paper, we present a roadmap for implementing MLS workflows and focus on a workflow builder that is a graphical design tool for specifying such workflows.
Miron Livny - One of the best experts on this subject based on the ideXlab platform.
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the pegasus workflow management system translational computer science in practice
Journal of Computational Science, 2020Co-Authors: Ewa Deelman, Karan Vahi, Mats Rynge, Rajiv Mayani, Rafael Ferreira Da Silva, Ryan Tanaka, Wendy Whitcup, Miron LivnyAbstract:Abstract Translational research (TR) has been extensively used in the health science domain, where results from laboratory research are translated to human studies and where evidence-based practices are adopted in real-world settings to reach broad communities. In computer science, much research stops at the result publication and dissemination stage without moving to the evaluation in real settings at scale and feeding the gained knowledge back to research. Additionally, there is a lack of steady funding and incentives to broadly promote translational computer science (TCS) in practice. In this paper, we present how, throughout its lifespan, the Pegasus workflow management system project has incorporated the principles of translational computer science. We report on our experience on building a strong, long-term engagement with a broad range of science communities to establish mutually beneficial relationships between the core R&D team and these communities.
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pegasus a workflow management system for science automation
Future Generation Computer Systems, 2015Co-Authors: Ewa Deelman, Karan Vahi, Gideon Juve, Mats Rynge, Scott Callaghan, P Maechling, Rajiv Mayani, Weiwei Chen, Rafael Ferreira Da Silva, Miron LivnyAbstract:Modern science often requires the execution of large-scale, multi-stage simulation and data analysis pipelines to enable the study of complex systems. The amount of computation and data involved in these pipelines requires scalable workflow management systems that are able to reliably and efficiently coordinate and automate data movement and task execution on distributed computational resources: campus clusters, national cyberinfrastructures, and commercial and academic clouds. This paper describes the design, development and evolution of the Pegasus workflow management system, which maps abstract workflow descriptions onto distributed computing infrastructures. Pegasus has been used for more than twelve years by scientists in a wide variety of domains, including astronomy, seismology, bioinformatics, physics and others. This paper provides an integrated view of the Pegasus system, showing its capabilities that have been developed over time in response to application needs and to the evolution of the scientific computing platforms. The paper describes how Pegasus achieves reliable, scalable workflow execution across a wide variety of computing infrastructures. Comprehensive description of the Pegasus workflow management system.Detailed explanation of Pegasus workflow transformations.Data management in Pegasus.Earthquake science application example.
Myong H Kang - One of the best experts on this subject based on the ideXlab platform.
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a multilevel secure workflow management system
Conference on Advanced Information Systems Engineering, 1999Co-Authors: Myong H Kang, Judith N Froscher, Amit P Sheth, Krys Kochut, John A MillerAbstract:The Department of Defense (DoD) needs multilevel secure (MLS) workflow management systems to enable globally distributed users and applications to cooperate across classification levels to achieve mission critical goals. An MLS workflow management system that allows a user to program multilevel mission logic, to securely coordinate widely distributed tasks, and to monitor the progress of the workflow across classification levels is required. In this paper, we present a roadmap for implementing MLS workflows and focus on a workflow builder that is a graphical design tool for specifying such workflows.
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CAiSE - A Multilevel Secure workflow management system
Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 1999Co-Authors: Myong H Kang, Judith N Froscher, Amit P Sheth, Krys Kochut, John A MillerAbstract:The Department of Defense (DoD) needs multilevel secure (MLS) workflow management systems to enable globally distributed users and applications to cooperate across classification levels to achieve mission critical goals. An MLS workflow management system that allows a user to program multilevel mission logic, to securely coordinate widely distributed tasks, and to monitor the progress of the workflow across classification levels is required. In this paper, we present a roadmap for implementing MLS workflows and focus on a workflow builder that is a graphical design tool for specifying such workflows.
Zeng Guang-zhou - One of the best experts on this subject based on the ideXlab platform.
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P2P-based workflow management system
Journal of Shandong University, 2007Co-Authors: Zeng Guang-zhouAbstract:In a workflow management system based on client/server architecture, centralized server can not only degrade the system performance, but also easily lead to the single-node failure. A decentralized workflow management system is proposed, which applies P2P (peer to peer, that is, to sharethe computer resources and services by direct exchange between systems) concepts to workflow scenarios. Each node within the system acts as a client application, which can also perform functions of a data repository and a process controller. Based on the JXTA realization (project Juxtapose, an open-sourced platform which was developed by the Sun Company to support the P2P application) and the application of the medical consultation workflow system, it demonstrates that the decentralized workflow management has good scalability under a dynamic environment, which can also offer higher autonomy for the workflow user.
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A Construction Method of workflow management system Based on Pattern Components
Computer Engineering, 2006Co-Authors: Zeng Guang-zhouAbstract:Based on the workflow patterns describing controlling features of the flow, this paper brings forward a workflow model based on workflow patterns and gives a method, in which workflow patterns are mapped to workflow pattern components firstly, and then constructs the workflow management system based on pattern components.
Ewa Deelman - One of the best experts on this subject based on the ideXlab platform.
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the pegasus workflow management system translational computer science in practice
Journal of Computational Science, 2020Co-Authors: Ewa Deelman, Karan Vahi, Mats Rynge, Rajiv Mayani, Rafael Ferreira Da Silva, Ryan Tanaka, Wendy Whitcup, Miron LivnyAbstract:Abstract Translational research (TR) has been extensively used in the health science domain, where results from laboratory research are translated to human studies and where evidence-based practices are adopted in real-world settings to reach broad communities. In computer science, much research stops at the result publication and dissemination stage without moving to the evaluation in real settings at scale and feeding the gained knowledge back to research. Additionally, there is a lack of steady funding and incentives to broadly promote translational computer science (TCS) in practice. In this paper, we present how, throughout its lifespan, the Pegasus workflow management system project has incorporated the principles of translational computer science. We report on our experience on building a strong, long-term engagement with a broad range of science communities to establish mutually beneficial relationships between the core R&D team and these communities.
-
pegasus a workflow management system for science automation
Future Generation Computer Systems, 2015Co-Authors: Ewa Deelman, Karan Vahi, Gideon Juve, Mats Rynge, Scott Callaghan, P Maechling, Rajiv Mayani, Weiwei Chen, Rafael Ferreira Da Silva, Miron LivnyAbstract:Modern science often requires the execution of large-scale, multi-stage simulation and data analysis pipelines to enable the study of complex systems. The amount of computation and data involved in these pipelines requires scalable workflow management systems that are able to reliably and efficiently coordinate and automate data movement and task execution on distributed computational resources: campus clusters, national cyberinfrastructures, and commercial and academic clouds. This paper describes the design, development and evolution of the Pegasus workflow management system, which maps abstract workflow descriptions onto distributed computing infrastructures. Pegasus has been used for more than twelve years by scientists in a wide variety of domains, including astronomy, seismology, bioinformatics, physics and others. This paper provides an integrated view of the Pegasus system, showing its capabilities that have been developed over time in response to application needs and to the evolution of the scientific computing platforms. The paper describes how Pegasus achieves reliable, scalable workflow execution across a wide variety of computing infrastructures. Comprehensive description of the Pegasus workflow management system.Detailed explanation of Pegasus workflow transformations.Data management in Pegasus.Earthquake science application example.
