Managing fault tolerance transparently using CORBA services

R Meier, Patrick Nixon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fault tolerance problems arise in large-scale distributed systems because application components may eventually fail due to hardware problems, operator mistakes or design faults. Fault tolerance mechanisms must be employed to reduce the susceptibility of a given system to failure. In this paper, we describe the design of an architecture to overcome potential application component failures, using CORBA, a distributed object middleware specified by the OMG. Of primary importance to this architecture is OMG’s CORBA Object Trading Service as the mechanism to advertise and manage service offers for fault tolerant application components. This mechanism enables clients transparently to detect a failed connection to a service object, to discover a similar backup service object and to re-connect to it. This improves overall system stability and enables scalability.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages519-522
Number of pages4
DOIs
Publication statusPublished - 1999
EventEuro-Par '99 Parallel Processing - Toulouse, France
Duration: 1 Jan 1999 → …

Conference

ConferenceEuro-Par '99 Parallel Processing
Period1/01/99 → …

Fingerprint

Common object request broker architecture (CORBA)
Fault tolerance
Middleware
System stability
Scalability
Hardware

Keywords

  • n/a

Cite this

Meier, R ; Nixon, Patrick. / Managing fault tolerance transparently using CORBA services. Unknown Host Publication. 1999. pp. 519-522
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Meier, R & Nixon, P 1999, Managing fault tolerance transparently using CORBA services. in Unknown Host Publication. pp. 519-522, Euro-Par '99 Parallel Processing, 1/01/99. https://doi.org/10.1007/3-540-48311-X_72

Managing fault tolerance transparently using CORBA services. / Meier, R; Nixon, Patrick.

Unknown Host Publication. 1999. p. 519-522.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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