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Web of Things Data Storage
School of Software, Shanghai Jiao Tong University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
2017 (English)In: Managing the Web of Things: Linking the Real World to the Web, Elsevier, 2017, 325-354 p.Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2017. 325-354 p.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-65270DOI: 10.1016/B978-0-12-809764-9.00015-9Scopus ID: 2-s2.0-85027264569ISBN: 9780128097656 (print)ISBN: 9780128097649 (electronic)OAI: oai:DiVA.org:ltu-65270DiVA: diva2:1135373
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-23Bibliographically approved

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