Provenance Based Rebuild: Using Data Provenance to Improve Reliability

نویسندگان

  • Brian A. Madden
  • Ian F. Adams
  • Mark W. Storer
  • Ethan L. Miller
  • Darrell D.E. Long
  • Thomas M. Kroeger
چکیده

Traditionally, data preservation and reliability have used error correcting codes (ECCs) to ensure data safety. The development of general data provenance tracking systems provides a new opportunity for data reliability. We present a method that utilizes provenance to determine a datum’s generating process and inputs, and then uses this information to recompute lost data. This method, called Provenance Based Rebuild (PBR) provides a new, complimentary reliability mechanism that integrates with traditional systems to offer a variety of benefits including fine grained prioritized rebuild and parallel rebuild. While PBR offers benefits that address weaknesses in current techniques, it also faces a number of challenges such as data placement, and infrastructure provisioning.

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تاریخ انتشار 2011