CaltechAUTHORS
  A Caltech Library Service

FixD : Fault Detection, Bug Reporting, and Recoverability for Distributed Applications

Ţăpuş, Cristian and Noblet, David A. (2007) FixD : Fault Detection, Bug Reporting, and Recoverability for Distributed Applications. In: 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE , Piscataway, NJ, pp. 1-8. ISBN 1-4244-0909-8. https://resolver.caltech.edu/CaltechAUTHORS:20170419-170330708

[img] PDF - Published Version
See Usage Policy.

830kB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20170419-170330708

Abstract

Model checking, logging, debugging, and checkpointing/recovery are great tools to identify bugs in small sequential programs. The direct application of these techniques to the domain of distributed applications, however, has been less effective (mostly owing to the high degree of concurrency in this context). This paper presents the design of a hybrid tool, FixD, that attempts to address the deficiencies of these tools with respect to their application to distributed systems by using a novel composition of several of these existing techniques. The authors first identify and describe the four abstract components that comprise the FixD tool, then conclude with a proposal for how existing tools can be used to implement these components.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/IPDPS.2007.370413DOIArticle
http://ieeexplore.ieee.org/document/4228141/PublisherArticle
Additional Information:© 2007 IEEE.
DOI:10.1109/IPDPS.2007.370413
Record Number:CaltechAUTHORS:20170419-170330708
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170419-170330708
Official Citation:C. Tapus and D. A. Noblet, "FixD : Fault Detection, Bug Reporting, and Recoverability for Distributed Applications," 2007 IEEE International Parallel and Distributed Processing Symposium, Long Beach, CA, 2007, pp. 1-8. doi: 10.1109/IPDPS.2007.370413
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:76732
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:20 Apr 2017 04:43
Last Modified:15 Nov 2021 17:02

Repository Staff Only: item control page