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Robustness to Crash in a Distributed Database: A Non Shared-memory Multi-Processor Approach.

Andrea J. Borr: Robustness to Crash in a Distributed Database: A Non Shared-memory Multi-Processor Approach. VLDB 1984: 445-453
@inproceedings{DBLP:conf/vldb/Borr84,
  author    = {Andrea J. Borr},
  editor    = {Umeshwar Dayal and
               Gunter Schlageter and
               Lim Huat Seng},
  title     = {Robustness to Crash in a Distributed Database: A Non Shared-memory
               Multi-Processor Approach},
  booktitle = {Tenth International Conference on Very Large Data Bases, August
               27-31, 1984, Singapore, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1984},
  isbn      = {0-934613-16-8},
  pages     = {445-453},
  ee        = {db/conf/vldb/Borr84.html},
  crossref  = {DBLP:conf/vldb/84},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Since attention first turned to the problem of database recovery following system crash, computer architectures have undergone considerable evolution. One direction such evolution has taken is toward fault-tolerant, highly available, distributed database systems. One such architecture is characterized by a single system composed of multiple independent processors, each with its own memory. This paper examines the inadequacy of both the traditional definition of system crash and the conventional approaches to crash recovery for this architecture. It describes an approach to recovery from failures which takes advantage of the multiple independent processor memories and avoids system restart in many cases.

Copyright © 1984 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


Online Paper

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Printed Edition

Umeshwar Dayal, Gunter Schlageter, Lim Huat Seng (Eds.): Tenth International Conference on Very Large Data Bases, August 27-31, 1984, Singapore, Proceedings. Morgan Kaufmann 1984, ISBN 0-934613-16-8
Contents BibTeX

References

[1]
Andrea J. Borr: Transaction Monitoring in ENCOMPASS: Reliable Distributed Transaction Processing. VLDB 1981: 155-165 BibTeX
[2]
...
[3]
Joel F. Bartlett: A NonStop Kernel. SOSP 1981: 22-19 BibTeX
[4]
Jim Gray: Notes on Data Base Operating Systems. Advanced Course: Operating Systems 1978: 393-481 BibTeX
[5]
...
[6]
Jim Gray: The Transaction Concept: Virtues and Limitations (Invited Paper). VLDB 1981: 144-154 BibTeX
[7]
...
[8]
...
[9]
Daniel A. Menascé, Oscar E. Landes: On the Design of a Reliable Storage Component for Distributed Database Management Systems. VLDB 1980: 365-375 BibTeX
[10]
Joost Verhofstad: Recovery Techniques for Database Systems. ACM Comput. Surv. 10(2): 167-195(1978) BibTeX

Referenced by

  1. C. Mohan: Repeating History Beyond ARIES. VLDB 1999: 1-17
  2. D. Wildfogel, Ramana Yerneni: Efficient Testing of High Performance Transaction Processing Systems. VLDB 1997: 595-598
  3. C. Mohan, Donald J. Haderle, Bruce G. Lindsay, Hamid Pirahesh, Peter M. Schwarz: ARIES: A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Logging. ACM Trans. Database Syst. 17(1): 94-162(1992)
  4. Andrea J. Borr, Gianfranco R. Putzolu: High Performance SQL Through Low-Level System Integration. SIGMOD Conference 1988: 342-349
  5. Johann Christoph Freytag, Flaviu Cristian, Bo Kähler: Masking System Crashes in Database Application Programs. VLDB 1987: 407-416
BibTeX
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