Implementing a Semi-Active Replication Strategy in CHORUS/Classix, a Distributed Real-Time Executive

Authors:
A. M. Déplanche;P. Y. Théaudière;Y. Trinquet
Affiliations:
-;-;-
Venue:
SRDS '99 Proceedings of the 18th IEEE Symposium on Reliable Distributed Systems
Year:
1999

Citing 7
Cited 3

Fault-tolerant computing based on Mach

ACM SIGOPS Operating Systems Review
Synchronous atomic broadcast for redundant broadcast for redundant channels

Real-Time Systems
The ISIS project: real experience with a fault tolerant programming system

ACM SIGOPS Operating Systems Review
POSIX.4: programming for the real world

POSIX.4: programming for the real world
Reliable broadcast protocols

ACM Transactions on Computer Systems (TOCS)
Delta Four: A Generic Architecture for Dependable Distributed Computing

Delta Four: A Generic Architecture for Dependable Distributed Computing
Distributed Fault-Tolerant Real-Time Systems: The Mars Approach

IEEE Micro

Design and Implementation of a Pluggable Fault Tolerant CORBA Infrastructure

IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Design and Implementation of a Pluggable Fault-Tolerant CORBA Infrastructure

Cluster Computing
Towards middleware for fault-tolerance in distributed real-time and embedded systems

DAIS'08 Proceedings of the 8th IFIP WG 6.1 international conference on Distributed applications and interoperable systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper reports a practical implementation of a strategy to support semi-active replication of real-time software components (i.e. sets of tasks) running on the Chorus/ClassiX distributed operating system. The main property of the replication strategy developed in this paper is to solve the major difficulty of replica determinism. The semi-active replication scheme consists of a leader software component and identical follower replicas. Only the leader component sends out application messages as well as notifications indicating the order which messages have been consumed and produced. Dynamic non-deterministic scheduling of tasks within the different replicas may cause the follower tasks to lag in their execution regarding the leader ones.