Abstract
The use of Ambient-Assisted Living (AAL) systems has been spreading across several countries, with the ultimate purpose of improving the quality of life of patients. These systems often reflect complex architectures including several components such as sensors, gateways, Information Systems or even actuators, as well as messaging and transmitting protocols. Failures in these systems can have severe impact on a monitored patient, and most components foresee some kind of compensation countermeasures to increase reliability. Nevertheless, these measures are often self-contained to a single component and do not address the overall AAL system reliability, disregarding precedent and successor activities and interactions that exist for each time a certain value is registered or a certain alert is triggered. In this paper, we propose a new approach to calculate the overall reliability of an AAL system. We take a Business Process Management (BPM) approach to model the activities and interactions between AAL components, using the Business Process Model and Notation (BPMN) standard. By extending the BPMN standard to include reliability information, we can derive the overall reliability of a certain AAL system. To prove this approach, we also present a reliability study considering scenarios with single and pairwise reliability variations of AAL system components. With this approach, healthcare managers can benefit from important overall reliability information of an AAL system, and better allocate the appropriate resources (including hardware or health care professionals) to improve responsiveness of care to patients.
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References
Baig, M.M., GholamHosseini, H., Connolly, M.J., Kashfi, G.: A wireless patient monitoring system for hospitalized older adults: acceptability, reliability and accuracy evaluation. In: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 330–333. IEEE Press (2014). doi 10.1109/BHI.2014.6864370
Bui, N., Zorzi, M.: Health care applications: a solution based on the internet of things. In: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, p. 131 (2011). ACM. doi:10.1145/2093698.2093829
Cardoso, A.J.S.: Quality of service and semantic composition of workflows. Doctoral dissertation. University of Georgia (2002)
Cardoso, J., Sheth, A., Miller, J., Arnold, J., Kochut, K.: Quality of service for workflows and web service processes. Web Semant.: Sci. Serv. Agents World Wide Web 1(3), 281–308 (2004). doi:10.1016/j.websem.2004.03.001
Coppolino, L., Romano, L., Mazzocca, N., Salvi, S.: Web Services workflow reliability estimation through reliability patterns. In: International Conference on Security and Privacy in Communications Networks and the Workshops, pp. 107–115. IEEE (2007). doi:10.1109/SECCOM.2007.4550316
Dar, K., Taherkordi, A., Baraki, H., Eliassen, F., Geihs, K.: A resource oriented integration architecture for the Internet of Things: a business process perspective. Pervasive Mobile Comput. 20, 145–159 (2014). doi:10.1016/j.pmcj.2014.11.005
Distefano, S., Ghezzi, C., Guinea, S., Mirandola, R.: Dependability assessment of web service orchestrations. IEEE Trans. Reliab. 63(3), 689–705 (2014). doi:10.1109/TR.2014.2315939
IEEE: IEEE Standard for Local and metropolitan area networks - Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) (2011)
IEEE: IEEE Standard for Local and metropolitan area networks - Part 15.6: Wireless Body Area Networks (2012)
Islam, S.M.R., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.: The Internet of Things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015). doi:10.1109/ACCESS.2015.2437951
Jara, A.J., Zamora, M.A., Skarmeta, A.F.: An Internet of Things-based personal device for diabetes therapy management in ambient assisted living (AAL). Pers. Ubiquit. Comput. 15(4), 431–440 (2011). doi:10.1007/s00779-010-0353-1
Krishnakumar, N., Sheth, A.: Managing heterogeneous multi-system tasks to support enterprise-wide operations. Distrib. Parallel Databases 3(2), 155–186 (1995). doi:10.1007/BF01277644
Koren, I., Krishna, C.M.: Fault Tolerant Systems. Morgan Kaufmann, San Francisco (2007)
Martinho, R., Domingos, D., Respício, A.: Evaluating the reliability of ambient-assisted living business processes. In: Proceedings of the 18th International Conference on Enterprise Information Systems. Scitepress, pp. 528–536 (2016). doi 10.5220/0005917005280536
McNaull, J., Augusto, J.C., Mulvenna, M., McCullagh, P.: Data and information quality issues in ambient assisted living systems. J. Data Inf. Qual. (JDIQ) 4(1), 4 (2012). doi:10.1145/2378016.2378020
Memon, M., Wagner, S.R., Pedersen, C.F., Beevi, F.H.A., Hansen, F.O.: Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes. Sensors 14(3), 4312–4341 (2014). doi:10.3390/s140304312
Mukherjee, D., Jalote, P., Gowri Nanda, M.: Determining QoS of WS-BPEL compositions. In: Bouguettaya, A., Krueger, I., Margaria, T. (eds.) ICSOC 2008. LNCS, vol. 5364, pp. 378–393. Springer, Heidelberg (2008). doi:10.1007/978-3-540-89652-4_29
Object Management Group: Business Process Model and Notation (BPMN) Version 2.0. (2011)
Ouyang, C., Dumas, M., Ter Hofstede, A.H., van der Aalst, W.M.: Pattern-based translation of BPMN process models to BPEL web services. Int. J. Web Serv. Res. (JWSR) 5(1), 42–62 (2007)
Parente, G., Nugent, C.D., Hong, X., Donnelly, M.P., Chen, L., Vicario, E.: Formal modeling techniques for ambient assisted living. Ageing Int. 36(2), 192–216 (2011). doi:10.1007/s12126-010-9086-8
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inf. 17(3), 579–590 (2013). doi:10.1109/JBHI.2012.2234129
Respício, A., Domingos, D.: Reliability of BPMN Business Processes. Procedia Comput. Sci. 64, 643–650 (2015). doi:10.1016/j.procs.2015.08.578
Rodrigues, G.N., Alves, V., Silveira, R., Laranjeira, L.A.: Dependability analysis in the ambient assisted living domain: An exploratory case study. J. Syst. Softw. 85(1), 112–131 (2012). doi:10.1016/j.jss.2011.07.037
Siewiorek, D., Swarz, R.: Reliable Computer Systems: Design and Evaluation. Digital Press (2014)
van Der Aalst, W.M., Ter Hofstede, A.H., Kiepuszewski, B., Barros, A.P.: Workflow patterns. Distrib. Parallel Databases 14(1), 5–51 (2003). doi:10.1023/A:1022883727209
Acknowledgments
This work is partially supported by National Funding from FCT - Fundação para a Ciência e a Tecnologia, under the projects PTDC/EEI-ESS/5863/2014, UID/MAT/04561/2013 and UID/CEC/00408/2013. The authors thank Carlos Albuquerque and Ana Paula Claúdio for the insightful conversations.
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Respício, A., Martinho, R., Domingos, D. (2017). Reliability of AAL Systems Modeled as BPMN Business Processes. In: Hammoudi, S., Maciaszek, L., Missikoff, M., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2016. Lecture Notes in Business Information Processing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-62386-3_24
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DOI: https://doi.org/10.1007/978-3-319-62386-3_24
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