Presentation 2012-12-14
Mobile device prediction for location-based cloud service
Haibo Yan, Masato Kitakami,
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Abstract(in English) Mobility prediction is one of the most essential issues which need to be explored for management in a location-based cloud service. A good prediction algorithm can not only reduce power consumption and waiting time, but also increase dependability of mobile devices. Existing prediction methods are generally based on mass history data. However, they can`t work well on the prediction of a device which has the features of short moving time and elusive moving tendency. Taking into account these characteristics, we proposed a prediction method based on an Adaptive Markov Chain Monte Carlo method for mobile device prediction. Simulation results show that the proposed algorithm has more efficiency than traditional algorithm.
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Keyword(in English) Mobile device / prediction / Monte Carlo method / Adaptive Markov Chain Monte Carlo(Adaptive MCMC)
Paper # DC2012-73
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Committee DC
Conference Date 2012/12/7(1days)
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Registration To Dependable Computing (DC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mobile device prediction for location-based cloud service
Sub Title (in English)
Keyword(1) Mobile device
Keyword(2) prediction
Keyword(3) Monte Carlo method
Keyword(4) Adaptive Markov Chain Monte Carlo(Adaptive MCMC)
1st Author's Name Haibo Yan
1st Author's Affiliation Graduate School of Advanced Integration Science Chiba University()
2nd Author's Name Masato Kitakami
2nd Author's Affiliation Graduate School of Advanced Integration Science Chiba University
Date 2012-12-14
Paper # DC2012-73
Volume (vol) vol.112
Number (no) 362
Page pp.pp.-
#Pages 4
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