Abstract
The Sensing as a Service (Se-aaS) is a Cloud-based service model for sensors/data to be shared, allowing for a multi-client access to sensor resources, and multi-supplier deployment of sensors. This way, everyone can benefit from the Internet of Things (IoT) ecosystem. Client applications can have components binded to mashups stored at the Cloud, where each mashup is a workflow wiring together virtual Things. Property requirements are specified for each mashup element. For an efficient use of resources, multiple mashup elements (from different applications) can be materialized into the same physical Thing, if the requested functionality is the same and requirements/constraints are not competing. That is, clusters of mashup elements are built for materialization. The problem of choosing for the best clustering and materialization assignment, having costs as a basis of decision, is addressed. The problem is mathematically formalized and the fair resource assignment results are compared against the unfair ones.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
IBM ILOG CPLEX Optimizer.
References
Guinard, D., Trifa, V.: Building the Web of Things. Manning Publications, Shelter Island (2016)
Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by Internet of Things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)
Sheng, X., Tang, J., Xiao, X., Xue, G.: Sensing as a service: challenges, solutions and future directions. IEEE Sens. J. 13(10), 3733–3741 (2013)
Petrolo, R., Loscrì, V., Mitton, N.: Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms. Trans. Emerg. Telecommun. Technol. 28(1), 1–12 (2015)
Misra, S., Bera, S., Mondal, A., Tirkey, R., Chao, H.-C., Chattopadhyay, S.: Optimal gateway selection in sensor-cloud framework for health monitoring. IET Wirel. Sens. Syst. 4(2), 61–68 (2014)
Hsu, Y.-C., Lin, C.-H., Chen, W.-T.: Design of a sensing service architecture for Internet of Things with semantic sensor selection. In: International Conference on Ubiquitous Intelligence and Computing, on Autonomic and Trusted Computing, and on Scalable Computing and Communications, UTC-ATC-ScalCom (2014)
Misra, S., Chatterjee, S., Obaidat, M.S.: On theoretical modeling of sensor cloud: a paradigm shift from wireless sensor network. IEEE Syst. J. 11, 1084–1093 (2014)
Zhu, C., Li, X., Ji, H., Leung, V.C.M.: Towards integration of wireless sensor networks and cloud computing. In: International Conference on Cloud Computing Technology and Science, CloudCom (2015)
Dinesh Kumar, L.P., Shakena Grace, S., Krishnan, A., Sumalatha, M.R.: Data filtering in wireless sensor networks using neural networks for storage in cloud. In: International Conference on Recent Trends In Information Technology, ICRTIT (2012)
Acknowledgment
This work was supported by FCT (Foundation for Science and Technology) from Portugal within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and UID/MULTI/00631/2013 project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 IFIP International Federation for Information Processing
About this paper
Cite this paper
Guerreiro, J., Rodrigues, L., Correia, N. (2018). Fair Resource Assignment at Sensor Clouds Under the Sensing as a Service Paradigm. In: Camarinha-Matos, L., Adu-Kankam, K., Julashokri, M. (eds) Technological Innovation for Resilient Systems. DoCEIS 2018. IFIP Advances in Information and Communication Technology, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-78574-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-78574-5_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78573-8
Online ISBN: 978-3-319-78574-5
eBook Packages: Computer ScienceComputer Science (R0)
