1 / 18

A Platform for Auditable, Distributed, Asymmetric Archival Replication

A Platform for Auditable, Distributed, Asymmetric Archival Replication. Micah Altman Associate Director, Harvard-MIT Data Center Institute for Quantitative Social Science, Harvard University

skule
Download Presentation

A Platform for Auditable, Distributed, Asymmetric Archival Replication

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A Platform for Auditable, Distributed, Asymmetric Archival Replication Micah AltmanAssociate Director, Harvard-MIT Data CenterInstitute for Quantitative Social Science, Harvard University Bryan BeecherDirector of Computing and Network ServicesInter-university Consortium of Political and Social Research, University of Michigan Marc MaynardDirector of Technical ServicesThe Roper Center for Public Opinion Research, University of Connecticut Jonathan CrabtreeAssistant Director for Archives and Information TechnologyHW Odum Institute for Research in Social Science, University of North Carolina CNI 2008 Fall Task Force Meeting

  2. Our Story • Who are you guys? • What problem are you trying to solve? • What have you done? • Why do we care? CNI 2008 Fall Task Force Meeting

  3. Data-PASS • Partnership devoted to identifying, acquiring and preserving data at-risk of being lost to the social science research community • Partners • ICPSR • Odum Institute • Harvard MIT Data Center • Roper Center • National Archives http://flickr.com/photos/phauly/35555985/ CNI 2008 Fall Task Force Meeting

  4. Data-PASS CNI 2008 Fall Task Force Meeting

  5. Data-PASS • Lots of little files (social science data) • ASCII data files • PDF technical documentation (codebooks) • Millions of ‘em • Archival storage • Was tape • Now disk CNI 2008 Fall Task Force Meeting

  6. Before CNI 2008 Fall Task Force Meeting

  7. After CNI 2008 Fall Task Force Meeting

  8. Archival storage? http://failblog.org/2008/02/08/floppy-fail/ CNI 2008 Fall Task Force Meeting

  9. Archival storage? • Remote disks • Grids • Clouds • With partners? CNI 2008 Fall Task Force Meeting

  10. Why roll your own? • Policy-driven • Auditable • Asymmetric • Independence of each location CNI 2008 Fall Task Force Meeting

  11. Syndicated Storage Platform (SSP) • Start with LOCKSS • Lots of Copies Keep Stuff Safe • But used in a closed network • Private LOCKSS Network (PLN) • A few of them out there • MetaArchive perhaps the best known • Biggest selling point was independence of each node in the PLN CNI 2008 Fall Task Force Meeting

  12. PLNs • LOCKSS is really easy to setup • PLNs are more difficult • Other differences between traditional PLN and our needs • Our content isn’t harvestable via HTTP • Our PLN nodes are different sizes • Our trust model requirement prevents a centralized authority controlling the network CNI 2008 Fall Task Force Meeting

  13. SSP = Stone Soup Platform? • ICPSR and Odum setup a small PLN • HDMC provided a harvester and designed the schema • Odum built the Comparator • Roper is building the Invitor CNI 2008 Fall Task Force Meeting

  14. PLN CNI 2008 Fall Task Force Meeting

  15. Schema • Nodes • IP address • Storage commitment • AUs • Max size • # in the PLN • Lots more CNI 2008 Fall Task Force Meeting

  16. Comparator • diff for our SSP • Compares • Contents of the LOCKSS Cache Manager [sic] • Schema • Produces • List of differences between “what is” and “what should be” • Feeds into another tool for “fixing the PLN” • Machine-actionable output (XML) CNI 2008 Fall Task Force Meeting

  17. Invitor • Reads the report from the Comparator • Issues requests to PLN nodes to ADD or DROP an AU • Expectation is that PLN nodes always accept an ADD if they can • An offer they cannot refuse • Requests may be reviewed/approved by a human administrator (or not) • USENET news technology? CNI 2008 Fall Task Force Meeting

  18. Summary • Data-PASS is a group ofarchives committed to preserving social science data • Exploring various technology options • One avenue is a custom LOCKSS deployment • Network schema • OAI data harvester • Comparison tool • Network update tool CNI 2008 Fall Task Force Meeting

More Related