Abstract
Context-aware decision support is required in situations taking place in dynamic rapidly changing and often unpredictable distributed environments. Such situations can be characterized by highly decentralized up-to-date data sets arriving from various resources located in socio-cyberphysical systems. Systems of this class tightly integrate heterogeneous resources of the physical world and IT (cyber) world together with social networking concepts. The paper addresses context-aware decision support in agent-based environments for smart space-based systems and human-computer cloud services. The application of the proposed decision support methodology is demonstrated on an e-tourism domain, particularly, via a connected car-based e-tourism system.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
IERC - European Research Cluster on the Internet of Things, About IoT (2014). http://www.internet-of-things-research.eu/about_iot.htm
Manyika, J., Chui, M., Bisson, P., Woetzel, J., Dobbs, R., Bughin, J., Aharon, D.: Unlocking the potential of the Internet of Things. McKinsey Global Institute Report, June 2015
Soldatos, J., et al.: OpenIoT: open source internet-of-things in the cloud. In: Podnar Žarko, I., Pripužić, K., Serrano, M. (eds.) Interoperability and Open-Source Solutions for the Internet of Things. LNCS, vol. 9001, pp. 13–25. Springer, Cham (2015). doi:10.1007/978-3-319-16546-2_3
Amazon Web Services, AWS IoT (2017). https://aws.amazon.com/ru/iot/
Dey, A.K., Salber, D., Abowd, G.D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. In: Moran, T.P., Dourish, P. (eds.) Context-Aware Computing, A Special Triple Issue of Human-Computer Interaction, vol. 16. Lawrence-Erlbaum (2001). http://www.cc.gatech.edu/fce/ctk¬/pubs/-HCIJ16.pdf
Cook, D.J., Das, S.K.: How smart are our environments? An updated look at the state of the art. Pervasive and Mobile Computing 3(2), 53–73 (2007). Elsevier
Gilman, E., Davidyuk, O., Su, X., Riekki, J.: Towards interactive smart spaces. J. Ambient Intell. Smart Environ. 5(1), 5–22 (2013). IOS Press
Chen, J., Abedinb, F., Chaob, K., Godwinb, N., Lic, Y., Tsai, C.: A hybrid model for cloud providers and consumers to agree on QoS of cloud services. Future Gener. Comput. Syst. 50, 38–48 (2015)
Korzun, D.G., Kashevnik, A.M., Balandin, S.I., Smirnov, A.V.: The smart-M3 platform: experience of smart space application development for internet of things. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) ruSMART 2015. LNCS, vol. 9247, pp. 56–67. Springer, Cham (2015). doi:10.1007/978-3-319-23126-6_6
Mell, P., Grance, T.: The NIST definition of cloud computing. Recommendations of the National Institute of Standards and Technology, NIST Special Publication, 800-145 (2015)
Dustdar, S., Bhattacharya, K.: The social compute unit. IEEE Internet Comput. 15(3), 64–69 (2011)
UNWTO: Tourism highlights (2016). http://www.e-unwto.org/doi/pdf/10.18111/9789284418145
Smirnov, A., Levashova, T., Shilov, N.: Patterns for context-based knowledge fusion in decision support. Inf. Fusion 21, 114–129 (2015)
Smirnov, A., Pashkin, M., Chilov, N., Levashova, T.: Constraint-driven methodology for context-based decision support. J. Decis. Syst. 14(3), 279–301 (2005)
Smirnov, A., Kashevnik, A., Ponomarev, A.: Context-based infomobility system for cultural heritage recommendation: tourist Assistant—TAIS. Pers. Ubiquitous Comput. 21, 1–15 (2016). Springer
Kashevnik, A., Ponomarev, A., Smirnov, A.: A multimodel context-aware tourism recommendation service: approach and architecture. J. Comput. Syst. Sci. Int. 56(2), 245–258 (2017). Pleiades Publishing
Smirnov, A., Ponomarev, A., Levashova, T., Teslya, N.: Human-computer cloud for decision support in tourism: approach and architecture. In: Balandin, S., Tyutina, T. (eds.) Proceedings of the FRUCT’19, pp. 226––235 (2016)
Sengupta, B., Jain, A., Bhattacharya, K., Truong, H.-L., Dustar, S.: Collective problem solving using social compute units. Int. J. Coop. Inf. Syst. 22, 1–21 (2013)
Scekic, O., Truong, H.-L., Dustdar, S.: Incentives and rewarding in social computing. ACM Commun. 56, 72 (2013)
Little, G., Chilton, L.B., Goldman, M., Miller, R.C.: Exploring iterative and parallel human computation processes. In: Proceedings of the ACM SIGKDD Workshop on Human Computation – HCOMP 2010, p. 68. ACM Press (2010)
Acknowledgements
The HCC for DSS research is supported by the Russian Science Foundation (project # 16-11-10253).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Smirnov, A., Kashevnik, A., Ponomarev, A., Shilov, N. (2017). Context-Aware Decision Support in Socio-Cyberphysical Systems: From Smart Space-Based Applications to Human-Computer Cloud Services. In: Demazeau, Y., Davidsson, P., Bajo, J., Vale, Z. (eds) Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. PAAMS 2017. Lecture Notes in Computer Science(), vol 10349. Springer, Cham. https://doi.org/10.1007/978-3-319-59930-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-59930-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59929-8
Online ISBN: 978-3-319-59930-4
eBook Packages: Computer ScienceComputer Science (R0)