Intelligent workflow management for Fish4Knowledge using the SWELL system

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

doi:10.1007/978-3-319-30208-9_8

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 proceeding › Chapter

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 language	English
Title of host publication	Fish4Knowledge
Subtitle of host publication	Collecting and Analyzing Massive Coral Reef Fish Video Data
Editors	Robert B. Fisher, Yun-Heh Chen-Burger, Daniela Giordano, Lynda Hardman, Fang-Pang Lin
Publisher	Springer
Pages	83-101
Number of pages	19
ISBN (Electronic)	9783319302089
ISBN (Print)	9783319302065
DOIs	https://doi.org/10.1007/978-3-319-30208-9_8
Publication status	Published - 2016

Publication series

Name	Intelligent Systems Reference Library
Publisher	Springer International Publishing
Volume	104
ISSN (Print)	1868-4394

Access to Document

10.1007/978-3-319-30208-9_8

Yun-Heh Chen-Burger
- Y.J.ChenBurgerhw.acuk
- School of Mathematical & Computer Sciences - Associate Professor
- School of Mathematical & Computer Sciences, Computer Science - Associate Professor
Person: Academic (Teaching)

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. https://doi.org/10.1007/978-3-319-30208-9_8

Nadarajan, Gayathri ; Yang, Cheng-Lin ; Chen-Burger, Yun-Heh. / Intelligent workflow management for Fish4Knowledge using the SWELL system. Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data. editor / Robert B. Fisher ; Yun-Heh Chen-Burger ; Daniela Giordano ; Lynda Hardman ; Fang-Pang Lin. Springer, 2016. pp. 83-101 (Intelligent Systems Reference Library).

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abstract = "F4K{\textquoteright}s workflow component is the chief mediator between the user interface (UI) and the video and image processing (VIP) components that reside in F4K{\textquoteright}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{\textquoteright}s performance. In this chapter, we describe the workings of F4K{\textquoteright}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.",

author = "Gayathri Nadarajan and Cheng-Lin Yang and Yun-Heh Chen-Burger",

year = "2016",

doi = "10.1007/978-3-319-30208-9_8",

language = "English",

isbn = "9783319302065",

series = "Intelligent Systems Reference Library",

publisher = "Springer",

pages = "83--101",

editor = "Fisher, {Robert B.} and Yun-Heh Chen-Burger and Daniela Giordano and Lynda Hardman and Fang-Pang Lin",

booktitle = "Fish4Knowledge",

}

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

Intelligent workflow management for Fish4Knowledge using the SWELL system. / Nadarajan, Gayathri; Yang, Cheng-Lin; Chen-Burger, Yun-Heh.
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data. ed. / Robert B. Fisher; Yun-Heh Chen-Burger; Daniela Giordano; Lynda Hardman; Fang-Pang Lin. Springer, 2016. p. 83-101 (Intelligent Systems Reference Library; Vol. 104).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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T1 - Intelligent workflow management for Fish4Knowledge using the SWELL system

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AB - 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.

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Intelligent workflow management for Fish4Knowledge using the SWELL system

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