DocumentCode
120312
Title
scICN: Scientific information control nets
Author
Hyun Ahn ; Minjae Park ; Kwanghoon Pio Kim
Author_Institution
Dept. of Comput. Sci., KYONGGI Univ., Suwon, South Korea
fYear
2014
fDate
16-19 Feb. 2014
Firstpage
1158
Lastpage
1161
Abstract
In this paper, we propose a formal description for representing the scientific workflow model supporting process-driven scientific behaviors in data intensive experiment procedures and large scale computing environments. We try to make a conceptual extension of the information control net methodology so as to be applicable to the scientific workflow models and systems, and dub it scICN (Scientific Information Control Net). Upon the SClCN-based scientific workflow model, we exemplify its application to a pseudo SClCN-based scientific workflow model.
Keywords
natural sciences computing; workflow management software; data intensive experiment procedures; information control net methodology; large scale computing environments; process-driven scientific behaviors; pseudo SClCN-based scientific workflow model; scientific information control nets; Analytical models; Computational modeling; Computer science; Data models; Educational institutions; Logic gates; Mathematical model; dominancy; exception handling and recovery; load-balancing; scientific workflow; verification;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location
Pyeongchang
Print_ISBN
978-89-968650-2-5
Type
conf
DOI
10.1109/ICACT.2014.6779140
Filename
6779140
Link To Document