Manageable Provenace Architecture in Scientific Workflow Systems

Author

Wang, Dongping ; Bin Gong

Author_Institution

Dept. of Comput. Sci. & Technol., ShanDong Univ., Jinan, China

fYear

2009

Firstpage

131

Lastpage

135

Abstract

Scientific workflows have shown great benefit as a means of orchestrating complex distributed scientific computations over grids and speed the advance of scientific progress. To address some requirements of scientific experiment, such as result reproducibility, sharing and validation, provenance support has become an essential component of scientific workflow systems. With the increase of the amount of provenance data, managing enormous set of provenance data becomes a challenge work. In this paper, we will present a label introduced provenance architecture which classifies provenance information with labels and manages provenance information according as labels.

Keywords

grid computing; natural sciences computing; pattern classification; workflow management software; complex distributed scientific computation orchestration; grid computing; manageable provenance architecture; provenance information classification; scientific workflow system; Computer architecture; Computer networks; Computer science; Conference management; Distributed computing; Grid computing; Information management; Reproducibility of results; Resource management; Technology management; provenance architecture; scientific workflow system;

fLanguage

English

Publisher

ieee

Conference_Titel

Grid and Cooperative Computing, 2009. GCC '09. Eighth International Conference on

Conference_Location

Lanzhou, Gansu

Print_ISBN

978-0-7695-3766-5

Type

conf

DOI

10.1109/GCC.2009.17

Filename

5280105