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Composing geoinformatics workflows with user preferences

Published: 05 November 2008 Publication History

Abstract

With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented science. Among the plethora of systems included under this framework are scientific workflow management systems, which enable large-scale process scheduling and execution. To ensure quality of service, these systems typically seek to minimize workflow execution time as well as costs for slices of data grid access. The geospatial domain, among other sciences, involves yet another optimization factor, the accuracy of results. The relationship between execution time and workflow accuracy can often be exploited to offer more flexibility in handling user preferences. We present a system which meets user constraints through a dynamic adjustment of the accuracy of workflow results.

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Cited By

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  • (2018)Enabling intent to configure scientific networks for high performance demandsFuture Generation Computer Systems10.1016/j.future.2017.04.02079(205-214)Online publication date: Feb-2018
  • (2013)Cost and Accuracy Aware Scientific Workflow Composition for Service-Oriented EnvironmentsIEEE Transactions on Services Computing10.1109/TSC.2012.196:4(470-483)Online publication date: 1-Oct-2013
  • (2011)An approach towards automatic workflow composition through information retrievalProceedings of the 15th Symposium on International Database Engineering & Applications10.1145/2076623.2076644(170-178)Online publication date: 21-Sep-2011
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      cover image ACM Conferences
      GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
      November 2008
      559 pages
      ISBN:9781605583235
      DOI:10.1145/1463434
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 05 November 2008

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      Author Tags

      1. QoS
      2. accuracy awareness
      3. geospatial workflows

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      Overall Acceptance Rate 257 of 1,238 submissions, 21%

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      View all
      • (2018)Enabling intent to configure scientific networks for high performance demandsFuture Generation Computer Systems10.1016/j.future.2017.04.02079(205-214)Online publication date: Feb-2018
      • (2013)Cost and Accuracy Aware Scientific Workflow Composition for Service-Oriented EnvironmentsIEEE Transactions on Services Computing10.1109/TSC.2012.196:4(470-483)Online publication date: 1-Oct-2013
      • (2011)An approach towards automatic workflow composition through information retrievalProceedings of the 15th Symposium on International Database Engineering & Applications10.1145/2076623.2076644(170-178)Online publication date: 21-Sep-2011
      • (2011)Auspice: Automatic Service Planning in Cloud/Grid EnvironmentsGrids, Clouds and Virtualization10.1007/978-0-85729-049-6_5(93-121)Online publication date: 2011
      • (2010)Elastic Cloud Caches for Accelerating Service-Oriented ComputationsProceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC.2010.21(1-11)Online publication date: 13-Nov-2010
      • (2009)A Dynamic Approach toward QoS-Aware Service Workflow CompositionProceedings of the 2009 IEEE International Conference on Web Services10.1109/ICWS.2009.36(655-662)Online publication date: 6-Jul-2009

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