Intelligent workflow management for Fish4Knowledge using the SWELL system

Gayathri Nadarajan, Cheng-Lin Yang, Yun-Heh Chen-Burger

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

F4K’s workflow component is the chief mediator between the user interface (UI) and the video and image processing (VIP) components that reside in F4K’s high performance computing (HPC) platforms. Not only does it decompose high level user queries into lower video-level command-line invocations, it also makes its own decisions on which VIP modules and the best parameters to select, which hardware platform to perform the video processing executions on and which fault tolerance strategies to take during the executions so as to optimize the overall system’s performance. In this chapter, we describe the workings of F4K’s workflow component, SWELL (Semantic Workflows with Error Handling for Large Video Analyses) which comprises a workflow engine and a workflow monitor. We also describe the F4K domain ontologies that have heavily influenced the development of SWELL and have been used for term matching between partner components.
Original languageEnglish
Title of host publicationFish4Knowledge
Subtitle of host publicationCollecting and Analyzing Massive Coral Reef Fish Video Data
EditorsRobert B. Fisher, Yun-Heh Chen-Burger, Daniela Giordano, Lynda Hardman, Fang-Pang Lin
PublisherSpringer International Publishing
Pages83-101
Number of pages19
ISBN (Electronic)9783319302089
ISBN (Print)9783319302065
DOIs
Publication statusPublished - 2016

Publication series

NameIntelligent Systems Reference Library
PublisherSpringer International Publishing
Volume104
ISSN (Print)1868-4394

Fingerprint Dive into the research topics of 'Intelligent workflow management for Fish4Knowledge using the SWELL system'. Together they form a unique fingerprint.

  • Cite this

    Nadarajan, G., Yang, C-L., & Chen-Burger, Y-H. (2016). Intelligent workflow management for Fish4Knowledge using the SWELL system. In R. B. Fisher, Y-H. Chen-Burger, D. Giordano, L. Hardman, & F-P. Lin (Eds.), Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (pp. 83-101). (Intelligent Systems Reference Library; Vol. 104). Springer International Publishing. https://doi.org/10.1007/978-3-319-30208-9_8