Probabilistic Modelling of Replica Divergence

Anthony I. T. Rowstron; Neil D. Lawrence; Christopher M. Bishop

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Probabilistic Modelling of Replica Divergence

Anthony I. T. Rowstron, Neil D. Lawrence, Christopher M. Bishop

Proceedings of the 8th Workshop on Hot Topics in Operating Systems HOTOS (VIII), 2001.

Abstract

It is common in distributed systems to replicate data. In many cases this data evolves in a consistent fashion and this evolution can be modelled. A probabilistic model of the evolution allows us to estimate the divergence of the replicas and can be used by the application to alter its behaviour, for example to control synchronisation times, to determine the propagation of writes, and to convey to the user information about how much the data may have evolved. In this paper, we describe how the evolution of the data may be modelled and outline how the probabilistic model may be utilised in various applications, concentrating on a news database example.

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BibTeX


@InProceedings{Rowstron:sync01,
  title = 	 {Probabilistic Modelling of Replica Divergence},
  author = 	 {Rowstron, Anthony I. T. and Lawrence, Neil D. and Bishop, Christopher M.},
  booktitle = 	 {Proceedings of the 8th Workshop on Hot Topics in Operating Systems HOTOS (VIII)},
  year = 	 {2001},
  pdf = 	 {https://lawrennd.github.io/publications/files/hotos_sync.pdf},
  url = 	 {/publications/rowstron-sync01.html},
  abstract = 	 {It is common in distributed systems to replicate data. In many cases this data evolves in a consistent fashion and this evolution can be modelled. A *probabilistic model* of the evolution allows us to estimate the divergence of the replicas and can be used by the application to alter its behaviour, for example to control synchronisation times, to determine the propagation of writes, and to convey to the user information about how much the data may have evolved. In this paper, we describe how the evolution of the data may be modelled and outline how the probabilistic model may be utilised in various applications, concentrating on a news database example.}
}

Endnote

%0 Conference Paper
%T Probabilistic Modelling of Replica Divergence
%A Anthony I. T. Rowstron
%A Neil D. Lawrence
%A Christopher M. Bishop
%B Proceedings of the 8th Workshop on Hot Topics in Operating Systems HOTOS (VIII)
%D 2001	
%F Rowstron:sync01
%U /publications/rowstron-sync01.html
%X It is common in distributed systems to replicate data. In many cases this data evolves in a consistent fashion and this evolution can be modelled. A *probabilistic model* of the evolution allows us to estimate the divergence of the replicas and can be used by the application to alter its behaviour, for example to control synchronisation times, to determine the propagation of writes, and to convey to the user information about how much the data may have evolved. In this paper, we describe how the evolution of the data may be modelled and outline how the probabilistic model may be utilised in various applications, concentrating on a news database example.

RIS


TY  - CPAPER
TI  - Probabilistic Modelling of Replica Divergence
AU  - Anthony I. T. Rowstron
AU  - Neil D. Lawrence
AU  - Christopher M. Bishop
BT  - Proceedings of the 8th Workshop on Hot Topics in Operating Systems HOTOS (VIII)
DA  - 2001/01/01	
ID  - Rowstron:sync01
L1  - https://lawrennd.github.io/publications/files/hotos_sync.pdf
UR  - /publications/rowstron-sync01.html
AB  - It is common in distributed systems to replicate data. In many cases this data evolves in a consistent fashion and this evolution can be modelled. A *probabilistic model* of the evolution allows us to estimate the divergence of the replicas and can be used by the application to alter its behaviour, for example to control synchronisation times, to determine the propagation of writes, and to convey to the user information about how much the data may have evolved. In this paper, we describe how the evolution of the data may be modelled and outline how the probabilistic model may be utilised in various applications, concentrating on a news database example.
ER  -

APA


Rowstron, A.I.T., Lawrence, N.D. & Bishop, C.M.. (2001). Probabilistic Modelling of Replica Divergence. Proceedings of the 8th Workshop on Hot Topics in Operating Systems HOTOS (VIII) Available from /publications/rowstron-sync01.html.