Special Issue on Scientific Workflows IJBPIM

Call for Papers Special Issue on Scientific Workflows International Journal of Business Process Integration and Management (IJBPIM) <https://www.inderscience.com/browse/index.php?journalID=115> Description Scientific workflows have recently emerged as a new paradigm for scientists to formalize and structure complex scientific processes to enable and accelerate many significant scientific discoveries. A scientific workflow is a formal specification of a scientific process, which represents, streamlines, and automates the analytical and computational steps that a scientist needs to go through from dataset selection and integration, computation and analysis, to final data product presentation and visualization. A scientific workflow management system (SWFMS) is a system that supports the specification, modification, execution, failure recovery, and monitoring of a scientific workflow using the workflow logic to control the order of executing workflow tasks. The goal of this special issue is to present critical challenges, requirements, and issues related to scientific workflows. This collection of manuscripts will discuss key aspects in the development of a broad range of novel and innovative scientific workflow technologies. The emphasis of the special issue is on critical challenges in the development of various scientific workflows specifically as they relate to business workflow and service technologies. Particular emphasis will be placed on examples where innovative solutions to these challenges have resulted in scientific workflows which impact the scientific discovery process. Topics include but are not limited to: List of topic * Scientific workflow provenance management * Scientific workflow provenance analytics * Scientific workflow data, metadata, service, and task management * Scientific workflow architectures, models, and languages * Scientific workflow monitoring and failure handling * Streaming data processing in scientific workflows * Pipelined, data, workflow, and task parallelism in scientific workflows * Service, Grid, or Cloud-based scientific workflows * Data, metadata, compute, user-interaction, or visualization-intensive scientific workflows * Scientific workflow composition * Security issues in scientific workflows * Data integration and service integration in scientific workflows * Scientific workflow mapping, optimization, and scheduling * Scientific workflow modeling, verification, and validation * Scalability, reliability, extensibility, agility, and interoperability * Scientific workflow real-life applications Important dates * July 1, 2009, paper submission * October 1, 2009, notification * January 1, 2010, camera-ready version * Planned publication, middle of 2010 Guest editors * Shiyong Lu <http://www.cs.wayne.edu/~shiyong/> , Wayne State University, U.S.A., Email: shiyong@wayne.edu * Ewa Deelman <http://www.isi.edu/~deelman/> , USC Information Sciences Institute, U.S.A., Email: deelman@isi.edu * Zhiming Zhao <http://staff.science.uva.nl/~zhiming/> , University of Amsterdam, the Netherlands, Email: z.zhao@uva.nl Submission details Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process. Papers should be submitted to http://199.212.32.161/myreview/SubmitAbstract.php. Please also send an abstract and a copy of your paper to Shiyong@wayne.edu to ensure a reliable submission. Contact information All enquires about the special issue should be sent to Shiyong Lu at shiyong@wayne.edu. Ewa Deelman, Ph.D. USC Information Sciences Institute 4676 Admiralty Way, Suite 1001 Marina del Rey, CA 90092 Tel: 310 448-8408 Fax: 310 823-6714 email: deelman@isi.edu <mailto:deelman@isi.edu> http://www.isi.edu/~deelman
participants (1)
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Ewa Deelman