A graph-based approach for interference free integration of commercial off-the-shelf elements in pervasive computing systems

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Morla, R. (Author) FEUP; Soares, C. (Author) Other; Moreira, R.S. (Author) Other; Torres, J. (Author) Other; Sobral, P. (Author) Other

Journal

Title: Future Generation Computer Systems

Vol. 39

Pages: 3-15

ISSN: 0167-739X

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-008-YFH

DOI: 10.1016/j.future.2013.12.035

Abstract (EN): Commercial off-the-shelf devices and applications are expected to be pivotal in the coming massive deployment of pervasive computing technology in home settings. The integration of these devices and applications in the same household may result in unplanned interactions involving users and entertainment, communication, and health-related devices and applications. These unplanned interactions are a serious concern when, for example, communication or entertainment applications interfere with the behavior of health-related devices. This paper presents a novel graph-based approach for representing the expected behavior of commercial off-the-shelf devices and applications, their interactions, and for detecting interference in pervasive computing systems. A set of home care scenarios is used to assess the applicability of this approach. We then provide two setups where this approach can be applied: (i) in a pre-deployment setup, where simulation is used to detect possible instances of interference, and (ii) at run-time, collecting observations from devices and applications and detecting interference as it occurs. For pre-deployment and simulation we use Opensim to recreate a home household. For run-time, we use Simple Network Management Protocol for systems state introspection and a sliding window mechanism to process the collected data-stream. Crown Copyright

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13