Topic
Workflow
About: Workflow is a research topic. Over the lifetime, 31996 publications have been published within this topic receiving 498339 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: The results of improving application performance through workflow restructuring which clusters multiple tasks in a workflow into single entities are presented.
Abstract: This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry about the particulars of the target execution systems. The paper describes general issues in mapping applications and the functionality of Pegasus. We present the results of improving application performance through workflow restructuring which clusters multiple tasks in a workflow into single entities. A real-life astronomy application is used as the basis for the study.
1,324 citations
Patent•
30 Nov 1999
TL;DR: A software development method and system having a suite of graphical customization tools that enables developers to rapidly configure all aspects of the underlying application software, including the look-and-feel, behavior, and workflow as mentioned in this paper.
Abstract: A software development method and system having a suite of graphical customization tools that enables developers to rapidly configure all aspects of the underlying application software, including the look-and-feel, behavior, and workflow. This is accomplished without modifying application source code, base objects, or SQL. The sophisticated repository management capabilities of the method and system of our invention allows teams of developers to work efficiently on configuring applications. The application upgrader provides an automated process to upgrade the customizations to future product releases thus protecting the investment in customization. The ease, comprehensiveness, scalability, and upgradeability of the customization process help reduce the total lifecycle cost of customizing enterprise applications.
1,288 citations
TL;DR: Typical topics and problems encountered during data processing of diffraction experiments are discussed and the tools provided in the autoPROC software are described.
Abstract: A typical diffraction experiment will generate many images and data sets from different crystals in a very short time. This creates a challenge for the high-throughput operation of modern synchrotron beamlines as well as for the subsequent data processing. Novice users in particular may feel overwhelmed by the tables, plots and numbers that the different data-processing programs and software packages present to them. Here, some of the more common problems that a user has to deal with when processing a set of images that will finally make up a processed data set are shown, concentrating on difficulties that may often show up during the first steps along the path of turning the experiment (i.e. data collection) into a model (i.e. interpreted electron density). Difficulties such as unexpected crystal forms, issues in crystal handling and suboptimal choices of data-collection strategies can often be dealt with, or at least diagnosed, by analysing specific data characteristics during processing. In the end, one wants to distinguish problems over which one has no immediate control once the experiment is finished from problems that can be remedied a posteriori. A new software package, autoPROC, is also presented that combines third-party processing programs with new tools and an automated workflow script that is intended to provide users with both guidance and insight into the offline processing of data affected by the difficulties mentioned above, with particular emphasis on the automated treatment of multi-sweep data sets collected on multi-axis goniostats.
1,239 citations
TL;DR: In this paper, a new workflow language (YAWL) is proposed based on a rigorous analysis of existing workflow management systems and workflow languages, and a set of workflow patterns are collected.
1,225 citations
01 Sep 2005
TL;DR: The main aspect of the taxonomy categorizes provenance systems based on why they record provenance, what they describe, how they represent and storeprovenance, and ways to disseminate it.
Abstract: Data management is growing in complexity as large-scale applications take advantage of the loosely coupled resources brought together by grid middleware and by abundant storage capacity. Metadata describing the data products used in and generated by these applications is essential to disambiguate the data and enable reuse. Data provenance, one kind of metadata, pertains to the derivation history of a data product starting from its original sources.In this paper we create a taxonomy of data provenance characteristics and apply it to current research efforts in e-science, focusing primarily on scientific workflow approaches. The main aspect of our taxonomy categorizes provenance systems based on why they record provenance, what they describe, how they represent and store provenance, and ways to disseminate it. The survey culminates with an identification of open research problems in the field.
1,214 citations