Web of Things Data Storage

Cai, H; Vasilakos, AV

Web of Things Data Storage

Cai, H Vasilakos, AV

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Managing the Web of Things: Linking the Real World to the Web, 2017, pp. 325-354
Issue Date:: 2017-02-08

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	Chapter 12_ Web of Things Data Storage _ Managing the Web of Things.pdf	Published version	1.29 MB	Adobe PDF	View/Open

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Field	Value	Language
dc.contributor.author	Cai, H
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-12-05T03:54:29Z
dc.date.available	2022-12-05T03:54:29Z
dc.date.issued	2017-02-08
dc.identifier.citation	Managing the Web of Things: Linking the Real World to the Web, 2017, pp. 325-354
dc.identifier.isbn	9780128097649
dc.identifier.uri	http://hdl.handle.net/10453/164127
dc.description.abstract	With the wide spread of Web of Things (WoT) technology, massive data are generated by huge amounts of distributed sensors and different applications. WoT related applications have emerged as an important area for both engineers and researchers. As a consequence, how to acquire, integrate, store, process and use these data has become an urgent and important problem for enterprises to achieve their business goals. Based on data processing functional analysis, a framework is provided to identify the representation, management, and disposing areas of WoT data. Several associated functional modules are defined and described in terms of their key characteristics and capabilities. Then, current researches in WoT applications are organized and compared to show the state-of-the-art achievements in literature from the view of data processing process. Next, some WoT storage techniques are discussed to enable WoT applications to move into cloud platforms. Lastly, based on application requirement analysis, some future technical tendencies are also proposed.
dc.format.extent	15
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Managing the Web of Things: Linking the Real World to the Web
dc.relation.isbasedon	10.1016/B978-0-12-809764-9.00015-9
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Web of Things Data Storage
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-12-05T03:54:28Z
pubs.place-of-publication	The Netherlands
pubs.publication-status	Published
dc.location	The Netherlands

Abstract:

With the wide spread of Web of Things (WoT) technology, massive data are generated by huge amounts of distributed sensors and different applications. WoT related applications have emerged as an important area for both engineers and researchers. As a consequence, how to acquire, integrate, store, process and use these data has become an urgent and important problem for enterprises to achieve their business goals. Based on data processing functional analysis, a framework is provided to identify the representation, management, and disposing areas of WoT data. Several associated functional modules are defined and described in terms of their key characteristics and capabilities. Then, current researches in WoT applications are organized and compared to show the state-of-the-art achievements in literature from the view of data processing process. Next, some WoT storage techniques are discussed to enable WoT applications to move into cloud platforms. Lastly, based on application requirement analysis, some future technical tendencies are also proposed.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/164127