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Convenience-based periodic composition of IoT services

conference contribution
posted on 2018-01-01, 00:00 authored by Bing Huang, Athman Bouguettaya, Azadeh Ghari NeiatAzadeh Ghari Neiat
We propose a novel service mining framework to personalize services in an IoT based smart home. We describe a new technique based on the concept of convenience to discover periodic composite IoT services to suit the smart home occupant’s convenience needs. The key features of convenience is the ability to model the spatio-temporal aspects as occupants move in time and space within the smart home. We propose a novel framework for the transient composition of spatio-temporal IoT service. We design two strategies to prune non-promising compositions. Specifically, a significance model is proposed to prune insignificant composite IoT services. We describe a spatio-temporal proximity technique to prune loosely correlated composite IoT services. A periodic composite IoT service model is proposed to model the regularity of composite IoT services occurring at a certain location in a given time interval. The experimental results on real datasets show the efficiency and effectiveness of our proposed approach.

History

Volume

11236

Pagination

660-678

Location

Hangzhou, China

Start date

2018-11-12

End date

2018-11-15

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030035952

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Pahl C, Vukovic M, Yin J, Yu Q

Title of proceedings

ICSOC 2018 : Proceedings of the 16th International Conference on Service-Oriented Computing 2018

Event

Service-Oriented Computing. Conference (16th : 2018 : Hangzhou, China)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Service-Oriented Computing Conference

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