Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Lossless fault-tolerant data structures with additive overhead

Lossless fault-tolerant data structures with additive overhead

Thumbnail Image
Download
Name

Demaine-Lossless Fault.pdf

Size

206.89 KB

Format

Adobe PDF

Checksum (MD5)

f93bf88c1b032497e61dc1911d5c5a2b

Author(s)
Christiano, Paul F.
•
Demaine, Erik D.
•
Kishore, Shaunak
Date Issued
August 2011
Journal
Algorithms and Data Structures
Publisher
Springer Berlin / Heidelberg
Citation
Christiano, Paul, Erik D. Demaine, and Shaunak Kishore. “Lossless Fault-Tolerant Data Structures with Additive Overhead.” Algorithms and Data Structures. Ed. Frank Dehne, John Iacono, & Jörg-Rüdiger Sack. LNCS Vol. 6844. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. 243–254.
Version
Author's final manuscript
Abstract
We develop the first dynamic data structures that tolerate δ memory faults, lose no data, and incur only an O(δ ) additive overhead in overall space and time per operation. We obtain such data structures for arrays, linked lists, binary search trees, interval trees, predecessor search, and suffix trees. Like previous data structures, δ must be known in advance, but we show how to restore pristine state in linear time, in parallel with queries, making δ just a bound on the rate of memory faults. Our data structures require Θ(δ) words of safe memory during an operation, which may not be theoretically necessary but seems a practical assumption.
Description
12th International Symposium, WADS 2011, New York, NY, USA, August 15-17, 2011. Proceedings
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/73856
DOI of Published Version
https://doi.org/10.1007/978-3-642-22300-6_21
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.