Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

Towards Realising FollowMe User Profiles for Macro-Intelligent Environments

In this paper, we introduce the concept of a Large-Scale Intelligent Environment (LSIE) and provide an introduction to the use of bigraphs as a formal method for description and modelling. We then propose our MacroIE model as a solution to the LSIE problem and describe how that model may be implemen...

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Bibliographic Details
Main Authors: Luke Whittington, James Dooley, Martin Henson, Abdullah Al-Malaise Al-Ghamdi
Format: Article
Language:English
Published: MDPI AG 2013-07-01
Series:Computers
Subjects:
ambient intelligent environments
middleware
formal methods
mobile computing
server architecture
bigraphs
Online Access:http://www.mdpi.com/2073-431X/2/3/132
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spelling doaj-5e54d5f60837474bb6502ccc2ab542d12020-11-24T22:02:26ZengMDPI AGComputers2073-431X2013-07-012313215110.3390/computers2030132Towards Realising FollowMe User Profiles for Macro-Intelligent EnvironmentsLuke WhittingtonJames DooleyMartin HensonAbdullah Al-Malaise Al-GhamdiIn this paper, we introduce the concept of a Large-Scale Intelligent Environment (LSIE) and provide an introduction to the use of bigraphs as a formal method for description and modelling. We then propose our MacroIE model as a solution to the LSIE problem and describe how that model may be implemented to achieve a continuity-of-experience to end users as they travel from place-to-place (a technology we call FollowMe). Our initial experiments with these implementations are presented, providing some valuable insights and promise for future refinement towards real-world deployment.http://www.mdpi.com/2073-431X/2/3/132ambient intelligent environmentsmiddlewareformal methodsmobile computingserver architecturebigraphs
collection DOAJ
language English
format Article
sources DOAJ
author Luke Whittington
James Dooley
Martin Henson
Abdullah Al-Malaise Al-Ghamdi
spellingShingle Luke Whittington
James Dooley
Martin Henson
Abdullah Al-Malaise Al-Ghamdi
Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
Computers
ambient intelligent environments
middleware
formal methods
mobile computing
server architecture
bigraphs
author_facet Luke Whittington
James Dooley
Martin Henson
Abdullah Al-Malaise Al-Ghamdi
author_sort Luke Whittington
title Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
title_short Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
title_full Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
title_fullStr Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
title_full_unstemmed Towards Realising FollowMe User Profiles for Macro-Intelligent Environments
title_sort towards realising followme user profiles for macro-intelligent environments
publisher MDPI AG
series Computers
issn 2073-431X
publishDate 2013-07-01
description In this paper, we introduce the concept of a Large-Scale Intelligent Environment (LSIE) and provide an introduction to the use of bigraphs as a formal method for description and modelling. We then propose our MacroIE model as a solution to the LSIE problem and describe how that model may be implemented to achieve a continuity-of-experience to end users as they travel from place-to-place (a technology we call FollowMe). Our initial experiments with these implementations are presented, providing some valuable insights and promise for future refinement towards real-world deployment.
topic ambient intelligent environments
middleware
formal methods
mobile computing
server architecture
bigraphs
url http://www.mdpi.com/2073-431X/2/3/132
work_keys_str_mv AT lukewhittington towardsrealisingfollowmeuserprofilesformacrointelligentenvironments
AT jamesdooley towardsrealisingfollowmeuserprofilesformacrointelligentenvironments
AT martinhenson towardsrealisingfollowmeuserprofilesformacrointelligentenvironments
AT abdullahalmalaisealghamdi towardsrealisingfollowmeuserprofilesformacrointelligentenvironments
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