DataClouds : Enabling community-based data-centric services over the internet of things

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

66 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number6888483
Pages (from-to)472-482
Journal / PublicationIEEE Internet of Things Journal
Volume1
Issue number5
Publication statusPublished - 1 Oct 2014
Externally publishedYes

Abstract

The Internet of Things (IoT) is emerging as one of the major trends for the next evolution of the Internet, where billions of physical objects or things (including but not limited to humans) will be connected over the Internet, and a vast amount of information data will be shared among them. However, the current Internet was built on a host-centric communication model, which was primarily designed for meeting the demand of pair-wise peer-to-peer communications and cannot well accommodate various advanced data-centric services boosted by the IoT in which users care about content and are oblivious to locations where the content is stored. In this paper, we propose a novel architecture for the future Internet based on information-centric networking (ICN), which is called DataClouds, to better accommodate data-centric services. Different from existing ICN-based architectures, we take the sharing nature of data-centric services under the IoT into consideration and introduce logically and physically formed communities as the basic building blocks to construct the network so that data could be more efficiently shared and disseminated among interested users. We also elaborate on several fundamental design challenges for the Internet under this new architecture and show that DataClouds could offer more efficient and flexible solutions than traditional ICN-based architectures.

Research Area(s)

  • Data-centric services, information-centric networking (ICN), Internet architecture, Internet of Things (IoT)

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Citation Format(s)

DataClouds: Enabling community-based data-centric services over the internet of things. / Yue, Hao; Guo, Linke; Li, Ruidong et al.
In: IEEE Internet of Things Journal, Vol. 1, No. 5, 6888483, 01.10.2014, p. 472-482.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review