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Scalable
extensible middleware framework for context-aware mobile applications
(SCAMMP) Hassan
Sbeyti1+,
Mohamad Malli1, Khalid Al-Tahat2,
Ahmad Fadlallah1, and Mohamad Youssef3 1Faculty
of Computer Studies, Arab Open University, Beirut, Lebanon {hsbeity, mmalli, afadlallah}@aou.edu.lb 2Faculty
of Computer Studies, Arab Open University, Amman, Jordan k_tahat@aou.edu.jo 3Faculty
of Sciences, Lebanese University, Beirut, Lebanon mohamad.h.yousef@gmail.com Abstract The number of users of handheld devices will exceed
one billion in the coming five years1. These devices are increasingly being
enhanced with new sensors, which enable the development of context-aware
mobile applications. Moreover, mobile applications might share the same
contextual information (decision logics) which in return shares data from the
same sensors; this introduces high code redundancy. Scalable extensible
middleware framework for context-aware mobile applications (SCAMMP) simplifies
the aggregation and sharing of raw data from different sensors and the
dynamic injection of decision logics in order to generate high level
contextual information. It allows mobile applications to share these high level contextual information (decision logic)
via a simple Application Programming Interface (API). This paper presents a
fully-implemented SCAMMP (on Android platform) with a quantitative
performance analysis. The analysis shows that SCAMMP’s overhead due to power
consumption is around 0%, processing power have peaks less than 14% at
certain moments but is zero most of the time, and the memory usage did not
exceed 5 MB. It also shows that SCAMMP maintains its scalability after
injecting additional decision logics and incorporating more sensors.
Furthermore, SCAMMP allows applications to access high-level contextual
information by adding only three lines of codes. Keywords: Context-Awareness, Middleware, Mobile
Applications +: Corresponding author: Hassan Sbeyti Journal of Wireless Mobile
Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) |