Optimising Synchronisation Times for Mobile Devices

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

edit

Back to publications

Optimising Synchronisation Times for Mobile Devices

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

Advances in Neural Information Processing Systems, MIT Press 14:1401-1408, 2002.

Abstract

With the increasing number of users of mobile computing devices (e.g. personal digital assistants) and the advent of third generation mobile phones, wireless communications are becoming increasingly important. Many applications rely on the device maintaining a replica of a data-structure which is stored on a server, for example news databases, calendars and e-mail. In this paper we explore the question of the optimal strategy for synchronising such replicas. We utilise probabilistic models to represent how the data-structures evolve and to model user behaviour. We then formulate objective functions which can be minimised with respect to the synchronisation timings. We demonstrate, using two real world data-sets, that a user can obtain more up-to-date information using our approach.

Links

Cite this Paper

BibTeX


@InProceedings{Lawrence:sync01,
  title = 	 {Optimising Synchronisation Times for Mobile Devices},
  author = 	 {Lawrence, Neil D. and Rowstron, Anthony I. T. and Bishop, Christopher M. and Taylor, Michael J.},
  booktitle = 	 {Advances in Neural Information Processing Systems},
  pages = 	 {1401--1408},
  year = 	 {2002},
  editor = 	 {Dietterich, Thomas G. and Becker, Sue and Ghahramani, Zoubin},
  volume = 	 {14},
  address = 	 {Cambridge, MA},
  publisher =    {MIT Press},
  pdf = 	 {http://www.thelawrences.net/neil/jitcache.ps.gz},
  url = 	 {/publications/lawrence-sync01.html},
  abstract = 	 {With the increasing number of users of mobile computing devices (e.g. personal digital assistants) and the advent of third generation mobile phones, wireless communications are becoming increasingly important. Many applications rely on the device maintaining a *replica* of a data-structure which is stored on a server, for example news databases, calendars and e-mail. In this paper we explore the question of the optimal strategy for synchronising such replicas. We utilise probabilistic models to represent how the data-structures evolve and to model user behaviour. We then formulate objective functions which can be minimised with respect to the synchronisation timings. We demonstrate, using two real world data-sets, that a user can obtain more up-to-date information using our approach.}
}

Endnote

%0 Conference Paper
%T Optimising Synchronisation Times for Mobile Devices
%A Neil D. Lawrence
%A Anthony I. T. Rowstron
%A Christopher M. Bishop
%A Michael J. Taylor
%B Advances in Neural Information Processing Systems
%D 2002
%E Thomas G. Dietterich
%E Sue Becker
%E Zoubin Ghahramani	
%F Lawrence:sync01
%I MIT Press
%P 1401--1408
%U /publications/lawrence-sync01.html
%V 14
%X With the increasing number of users of mobile computing devices (e.g. personal digital assistants) and the advent of third generation mobile phones, wireless communications are becoming increasingly important. Many applications rely on the device maintaining a *replica* of a data-structure which is stored on a server, for example news databases, calendars and e-mail. In this paper we explore the question of the optimal strategy for synchronising such replicas. We utilise probabilistic models to represent how the data-structures evolve and to model user behaviour. We then formulate objective functions which can be minimised with respect to the synchronisation timings. We demonstrate, using two real world data-sets, that a user can obtain more up-to-date information using our approach.

RIS


TY  - CPAPER
TI  - Optimising Synchronisation Times for Mobile Devices
AU  - Neil D. Lawrence
AU  - Anthony I. T. Rowstron
AU  - Christopher M. Bishop
AU  - Michael J. Taylor
BT  - Advances in Neural Information Processing Systems
DA  - 2002/01/01
ED  - Thomas G. Dietterich
ED  - Sue Becker
ED  - Zoubin Ghahramani	
ID  - Lawrence:sync01
PB  - MIT Press
VL  - 14
SP  - 1401
EP  - 1408
L1  - http://www.thelawrences.net/neil/jitcache.ps.gz
UR  - /publications/lawrence-sync01.html
AB  - With the increasing number of users of mobile computing devices (e.g. personal digital assistants) and the advent of third generation mobile phones, wireless communications are becoming increasingly important. Many applications rely on the device maintaining a *replica* of a data-structure which is stored on a server, for example news databases, calendars and e-mail. In this paper we explore the question of the optimal strategy for synchronising such replicas. We utilise probabilistic models to represent how the data-structures evolve and to model user behaviour. We then formulate objective functions which can be minimised with respect to the synchronisation timings. We demonstrate, using two real world data-sets, that a user can obtain more up-to-date information using our approach.
ER  -

APA


Lawrence, N.D., Rowstron, A.I.T., Bishop, C.M. & Taylor, M.J.. (2002). Optimising Synchronisation Times for Mobile Devices. Advances in Neural Information Processing Systems 14:1401-1408 Available from /publications/lawrence-sync01.html.