The Key Techniques of Scientific Workflow System

Author

Liu, Yingbo ; Deng, Hui ; Wang, Feng ; Ji, Kaifan

Author_Institution

Comput. Technol. Applic. Key Lab., Kunming Univ. of Sci. & Technol., Kunming, China

Volume

1

fYear

2010

fDate

16-18 July 2010

Firstpage

259

Lastpage

262

Abstract

Due to the requirements of scientific computational and data-intensive analysis, Scientific Workflow System (SWFs) technology is presented for remote resources data access and management under distributed infrastructures. The scientists are capable of using the system to address issues in their scientific domain. In this paper, firstly, we have an overview of the SWFs. Secondly, two types of scientific workflow systems are compared in the level of abstraction. And then we analyze and summarize the cross cutting issues of SWFs technology, that might be exploited in constructing workflow system effectively. We focus on the techniques, i.e., data provenance, fault tolerance and re-run. In the end, we make some suggestions towards improving SWFs.

Keywords

data analysis; scientific information systems; workflow management software; data intensive analysis; fault tolerance; scientific workflow system technology; Books; Concrete; Data visualization; Distributed databases; Fault tolerance; Fault tolerant systems; Optimization; conceptual classification; key techniques; re-run; scientific workflow;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications (IFITA), 2010 International Forum on

Conference_Location

Kunming

Print_ISBN

978-1-4244-7621-3

Electronic_ISBN

978-1-4244-7622-0

Type

conf

DOI

10.1109/IFITA.2010.98

Filename

5635092