DocumentCode
1922302
Title
Perfect Failure Detection in the Partitioned Synchronous Distributed System Model
Author
De Araujo Macedo, Raimundo Jose ; Gorender, Sergio
Author_Institution
Comput. Sci. Dept., Fed. Univ. of Bahia, Salvador
fYear
2009
fDate
16-19 March 2009
Firstpage
273
Lastpage
280
Abstract
In this paper we show that it is possible to implement a perfect failure detector P (one that detects all faulty processes if and only if those processes failed) in a non-synchronous distributed system. To realize that, we introduce the partitioned synchronous system (Spa) that is weaker than the conventional synchronous system. From some properties we introduce (such as strong partitioned synchrony) that must be valid in Spa and a trivially implementable timeliness oracle, we show how to implement P in Spa. Moreover, we show that even if strong partitioned synchrony is not valid, we are still able to take advantage of the existing synchronous partitions for improving the robustness of applications, by introducing a partially perfect failure detector named xP. We also disscus show applications can benefit from these failure detectors and present some related experimental data. The necessary properties and algorithms for implementing P and xP are presented in the paper, as well as the related correctness proofs.
Keywords
distributed algorithms; fault tolerance; graph theory; DS graph; correctness proof; fault-tolerant problem; nonsynchronous distributed system; partitioned synchronous distributed system model; perfect failure detection algorithm; timeliness oracle; Availability; Computer crashes; Computer security; Context modeling; Detectors; Fault detection; Laboratories; Power system modeling; Robustness; Synchronization; distributed system models; failure detection; non-synchronous systems; partitioned synchronous systems; synchronous/asynchronous systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Availability, Reliability and Security, 2009. ARES '09. International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-3572-2
Electronic_ISBN
978-0-7695-3564-7
Type
conf
DOI
10.1109/ARES.2009.165
Filename
5066483
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