Title :
Manageable Provenace Architecture in Scientific Workflow Systems
Author :
Wang, Dongping ; Bin Gong
Author_Institution :
Dept. of Comput. Sci. & Technol., ShanDong Univ., Jinan, China
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;
Conference_Titel :
Grid and Cooperative Computing, 2009. GCC '09. Eighth International Conference on
Conference_Location :
Lanzhou, Gansu
Print_ISBN :
978-0-7695-3766-5
DOI :
10.1109/GCC.2009.17
