Proceedings Real-Time Systems Symposium
DOI: 10.1109/real.1997.641272
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A low-cost processor group membership protocol for a hard real-time distributed system

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Cited by 5 publications
(6 citation statements)
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“…To provide this service, one must solve two orthogonal problems: 1) determining the set of processes that appear to be up in the system, and 2) agreeing on each successive view of this dynamically changing set. 9 We consider the above service to be just one possible application of our GMS. In fact, to implement this service, an application can use one of our GMS variants together with some failure detector D that gives (reliable or unreliable) information about which processes have crashed.…”
Section: Group Membership and Agreeing On The Set Of Operational Procmentioning
confidence: 99%
“…To provide this service, one must solve two orthogonal problems: 1) determining the set of processes that appear to be up in the system, and 2) agreeing on each successive view of this dynamically changing set. 9 We consider the above service to be just one possible application of our GMS. In fact, to implement this service, an application can use one of our GMS variants together with some failure detector D that gives (reliable or unreliable) information about which processes have crashed.…”
Section: Group Membership and Agreeing On The Set Of Operational Procmentioning
confidence: 99%
“…A problem closely related to distributed diagnosis, known as the synchronous group membership problem [6], [7], [11], [12], [15], is for each working node to maintain correct information about the group of working nodes with which it can communicate, and for all nodes in one group to agree on the membership of the group. In [12], it is shown that, under some models, these two problems are equivalent and an algorithm for one problem can be converted to an algorithm for the other.…”
Section: Related Workmentioning
confidence: 99%
“…Our work is closest to the approach taken in [6], where there is no limit on how many nodes can change state during execution of the algorithm, but there is a limit on how frequently an individual node can change state. The algorithm of [6] guarantees that working nodes make identical membership changes at the same local clock times.…”
Section: Related Workmentioning
confidence: 99%
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