The DISTARNET approach to reliable autonomic long-term digital preservation

Authors:
Ivan Subotic;Heiko Schuldt;Lukas Rosenthaler
Affiliations:
Imaging & Media Lab, University of Basel, Switzerland;Databases and Information Systems Group, University of Basel, Switzerland;Imaging & Media Lab, University of Basel, Switzerland
Venue:
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
Year:
2011

Citing 5
Cited 2

Atomicity and isolation for transactional processes

ACM Transactions on Database Systems (TODS)
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
Fedora: an architecture for complex objects and their relationships

International Journal on Digital Libraries
Cheshire 3 framework white paper: implementing support for digital repositories in a data grid environment

LGDI '05 Proceedings of the 2005 IEEE International Symposium on Mass Storage Systems and Technology
Automating logical preservation for small institutions with Hoppla

ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries

Challenges in storing multimedia data for the future: an overview

MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
A distributed archival network for process-oriented autonomic long-term digital preservation

Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

Quantified Score

Hi-index	0.00

Visualization

Abstract

The rapidly growing production of digital data, together with their increasing importance and essential demands for their longevity, urgently require systems that provide reliable long-term preservation of digital objects. Most importantly, these systems have to ensure guaranteed availability over a long period of time, as well as integrity and authenticity of the preserved data and their metadata. This means that all kinds of technical problems need to be reliably handled and that the evolution of data formats is supported. At the same time, systems need to scale with the volume of data to be archived. In this paper, we present DISTARNET, a fully distributed system that reliably executes pre-defined workflows for long-term preservation. Moreover, DISTARNET is designed as an open system that allows the curators of digital objects to specify new processes to cope with additional challenges.