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Standardized Scalable Relocatable Context-Aware Middleware for Mobile aPplications (SCAMMP)

Authors:
Fatima Abdallah
Hassan Sbeity
Ahmad Fadlallah

Keywords: Context Awareness; Middleware; Mobile Applications

Abstract:
Abstract—The penetration of handheld devices (especially smart- phones) is predicted to be over one billion in the next five years. These devices are increasingly equipped with new sensors offering a great potential for developing context-aware mobile applications that can enhance user experience. Unfortunately, the data provided by these sensors are of low-level (raw data) and diverse, ranging from physical to virtual. This makes embedding contextual information into mobile applications a difficult task. Presenting these raw sensors’ data in a unified format, augment- ing them into useful high-level context information and offering them through a well formalized standard middleware service can make this task easier. In this work, we present the architecture of a middleware platform that provides an open standard interface offering high-level information to the application layer. This platform maintains user context information in a finite state machine through state engines. State engines that represent user states can be added and removed any time and hence the openness of the platform originates. The platform uses layered approach and is composed of two relocatable layers: data acquisition- augmentation (pre-processing) layer and decision layer. A case study was performed to validate the functionality of the platform.

Pages: 56 to 61

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-353-7

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2014