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73
An Algebraic Approach for
"... Scientific workflows have emerged as a basic abstraction for structuring and executing scientific experiments in computational environments. In many situations, these workflows are computationally and data intensive, thus requiring execution in large-scale parallel computers. However, parallelizatio ..."
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of scientific workflows. We conducted a thorough validation of our approach using both a real oil exploitation application and synthetic data scenarios. The experiments were run in Chiron, a data-centric scientific workflow engine implemented to support our algebraic approach. Our experiments demonstrate
Scientific Workflows Abstractions for Parallel and Distributed Computing
"... Abstract. Workflow based environments provide a useful approach to support adequate abstraction levels for scientists and engineers, and also allow flexibility in the mappings between the application abstractions and the lower layers of the underlying computing plataforms. In this brief introduction ..."
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Abstract. Workflow based environments provide a useful approach to support adequate abstraction levels for scientists and engineers, and also allow flexibility in the mappings between the application abstractions and the lower layers of the underlying computing plataforms. In this brief
A Chemical Workflow Engine for Scientific Workflows with Dynamicity Support
"... In this paper the notion of a Chemical Workflow Engine (CWE) is introduced to support the enactment of scientific workflows, i.e. computationally intensive tasks involving large datasets. The execution of scientific workflows require the coordinated use of a large quantity of resources and schedulin ..."
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In this paper the notion of a Chemical Workflow Engine (CWE) is introduced to support the enactment of scientific workflows, i.e. computationally intensive tasks involving large datasets. The execution of scientific workflows require the coordinated use of a large quantity of resources
Workflow Engine with Multi-Level Parallelism Supports
"... This paper presents the SWFL workflow engine, a general workflow framework that meets the needs of business processes as well as scientific computing processes with fine multi-level parallelism supports. The workflow description language, SWFL, follows a graph-oriented model to specify workflow proc ..."
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This paper presents the SWFL workflow engine, a general workflow framework that meets the needs of business processes as well as scientific computing processes with fine multi-level parallelism supports. The workflow description language, SWFL, follows a graph-oriented model to specify workflow
Robust Workflows for Science and Engineering
"... Scientific workflow tools allow users to specify complex computational experiments and provide a good framework for robust science and engineering. Workflows consist of pipelines of tasks that can be used to explore the behaviour of some system, involving computations that are either performed local ..."
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Scientific workflow tools allow users to specify complex computational experiments and provide a good framework for robust science and engineering. Workflows consist of pipelines of tasks that can be used to explore the behaviour of some system, involving computations that are either performed
Nimrod/K: Towards Massively Parallel Dynamic Grid Workflows
- Conference on High Performance Networking and Computation, Proceedings of the 2008 ACM/IEEE Conference on Supercomputing
, 2008
"... A challenge for Grid computing is the difficulty in developing software that is parallel, distributed and highly dynamic. Whilst there have been many general purpose mechanisms developed over the years, Grid programming still remains a low level, error prone task. Scientific workflow engines can dou ..."
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Cited by 18 (7 self)
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A challenge for Grid computing is the difficulty in developing software that is parallel, distributed and highly dynamic. Whilst there have been many general purpose mechanisms developed over the years, Grid programming still remains a low level, error prone task. Scientific workflow engines can
A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling*
"... Abstract — To execute workflows on a compute cluster re-source, workflow engines can work with cluster resource manager software to distribute jobs into compute nodes on the cluster. We discuss how to interact with traditional Oracle Grid Engine and recent Hadoop cluster resource managers using a da ..."
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Cited by 2 (1 self)
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Abstract — To execute workflows on a compute cluster re-source, workflow engines can work with cluster resource manager software to distribute jobs into compute nodes on the cluster. We discuss how to interact with traditional Oracle Grid Engine and recent Hadoop cluster resource managers using a
WORKEM: Representing and Emulating Distributed Scientific Workflow Execution State
- 10th IEEE/ACM Int’l Conf on Cluster, Cloud and Grid Computing. 283–292
, 2010
"... Abstract- Scientific workflows have become an integral part of cyberinfrastructure as their computational complexity and data sizes have grown. However, the complexity of the distributed infrastructure makes design of new workflows, determining the right management policies, debugging, testing or re ..."
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Cited by 2 (1 self)
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or reproduction of errors challenging. Today, workflow engines manage the dependencies between tasks of workflows and there are tools available to wrap scientific codes. There is a need for a customizable, isolated and manageable testing container for design, evaluation and deployment of distributed workflows
Autonomic Activities in the Execution of Scientific Workflows: Evaluation of the AWARD Framework,” in to appear
- Proceedings of the 9th IEEE International Conference on Autonomic and Trusted Computing (ATC
, 2012
"... Abstract—Workflows have been successfully applied to express the decomposition of complex scientific applications. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from tasks specification, decentralizing the control of workflow acti ..."
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Cited by 1 (1 self)
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Abstract—Workflows have been successfully applied to express the decomposition of complex scientific applications. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from tasks specification, decentralizing the control of workflow
2006, ‘Data composition patterns in service-based workflows
- In: Workshop on Workflows in Support of LargeScale Science (WORKS’06
"... Workflow engines are powerful tools to implement data-intensive scientific applications exploiting parallel grid re-sources transparently. We discuss the advantages of imple-menting applications as workflows of services when dealing with large data sets. We show how the graph of services associated ..."
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Cited by 12 (8 self)
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Workflow engines are powerful tools to implement data-intensive scientific applications exploiting parallel grid re-sources transparently. We discuss the advantages of imple-menting applications as workflows of services when dealing with large data sets. We show how the graph of services associated
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