A novel update propagation module for the data provenance problem: A contemplating vision on realizing data provenance from models to storage

Abed Elhamid Lawabni, Changjin Hong, David H Du, Ahmed H. Tewfik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

To date, the systems approach to science, which emphasizes the connections among phenomena studied at different scales and by different disciplines, is causing dramatic changes in how scientific results are communicated. These changes drive a shift on how to propagate data with certain properties so that it can be used intelligently by others. In this work we elaborate on three major factors governing the propagation module of data provenance. The proposed propagation module provides an efficient solution for many critical problems in the management and provenance of scientific data. Unlike previous work, our work aims at realizing data provenance from models to storage. The natural representation of data as objects and its utility for capturing provenance has led us to consider a new storage architecture based on the object-based storage (OSD) technology. An outline of this framework is discussed.

Original languageEnglish (US)
Title of host publicationProceedings - Twenty-second IEEE/Thirteenth NASA Goddard Conference on Mass Storage Systems and Technologies
Pages61-69
Number of pages9
DOIs
StatePublished - Oct 31 2005
EventTwenty-second IEEE/Thirteenth NASA Goddard Conference on Mass Storage Systems and Technologies, IEEE/NASA MSST2005 - Monterey, CA, United States
Duration: Apr 11 2005Apr 14 2005

Publication series

NameProceedings - Twenty -second IEEE/Thirteenth NASA Goddard Conference on Mass Storage Systems and Technologies

Other

OtherTwenty-second IEEE/Thirteenth NASA Goddard Conference on Mass Storage Systems and Technologies, IEEE/NASA MSST2005
CountryUnited States
CityMonterey, CA
Period4/11/054/14/05

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