Abstract
The advancement of technology has seen the growth of IoT based devices all around the globe. With the introduction of wearable devices, smart appliances, the amount of accumulated data has increased exponentially. For soft real time systems, it is a major issue when it comes to analytics and providing the accurate results for future strategies leading to profitability aspects of an organization to the estimation of life expectancy of an individual. Soft real-time systems, where huge amount of data processing is equally important to context awareness, pervasive computing systems can use another layer for its data flow and this paper looks at an idea which benefits such systems. The proposed paper introduces an intermediate layer between User interfaces and the databases along with the traditional application layer and context or networking layer that already exists. The proposed paper also explains at how this architecture will be implemented and can be used as a generic architecture model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhu Z, Su X, Li J, Guo J, Ye J (2006) A user-centric service framework for pervasive computing. In: 2006 first international symposium on pervasive computing and applications, Urumqi, pp 1–4. https://doi.org/10.1109/SPCA.2006.297473
Riihijärvi J, Mähönen P (2013) Highly scalable data processing framework for pervasive computing applications. 2013 IEEE international conference on pervasive computing and communications workshops (PERCOM workshops), San Diego, CA, pp 306–308. https://doi.org/10.1109/percomw.2013.6529501
Lathies Bhasker T (2013) Pervasive computing issues, challenges and applications. Int J Eng Comput Sci 2(12):3337–3339 ISSN 2319-7242
Chopra A, Tokas S, Sinha S, Panchal VK (2014) Integration of semantic search technique and pervasive computing. In: 2014 international conference on computing for sustainable global development (INDIACom), New Delhi, pp 283–285. https://doi.org/10.1109/indiacom.2014.6828144
Liu B, Jiang T, Wang Z, Cao Y (2017) Object-oriented network: a named-data architecture toward the future internet. IEEE Internet Things J 4(4):957–967. https://doi.org/10.1109/jiot.2017.2714658
VanSyckel S (2013) Middleware-based system support for proactive adaptation in pervasive environments. In: 2013 IEEE international conference on pervasive computing and communications workshops (PERCOM workshops), San Diego, CA, pp 425–426. https://doi.org/10.1109/percomw.2013.6529534
Han J (2016) Chaining the secret: lightweight authentication for security in pervasive computing. 2016 IEEE international conference on pervasive computing and communication workshops (PerCom Workshops), Sydney, NSW, pp 1–3. https://doi.org/10.1109/percomw.2016.7457084
Taib SM, De Coster R, Nyamu J (2016) Innovation diffusion of wearable mobile computing: pervasive computing perspective. In: 2016 international conference on information society (i-Society), Dublin, pp 97–101. https://doi.org/10.1109/i-society.2016.7854185
Gökalp MO, Koçyigit A, Eren PE (2015) A cloud based architecture for distributed real time processing of continuous queries. In: 2015 41st Euromicro conference on software engineering and advanced applications, Funchal, pp 459–462. https://doi.org/10.1109/seaa.2015.61
Abdelsamea MHA, Zorkany M, Abdelkader N (2016) Real time operating systems for the Internet of Things, vision, architecture and research directions. In: 2016 World Symposium on Computer Applications & Research (WSCAR), Cairo, pp 72–77. https://doi.org/10.1109/WSCAR.2016.21
Kiljander J et al (2014) Semantic interoperability architecture for pervasive computing and Internet of Things. IEEE Access 2:856–873. https://doi.org/10.1109/ACCESS.2014.2347992
Srinivasulu P, Babu MS, Venkat R, Rajesh K (2017) Cloud service-oriented architecture (CSoA) for agriculture through Internet of Things (IoT) and big data. In: 2017 IEEE international conference on electrical, instrumentation and communication engineering (ICEICE), Karur, pp 1–6. https://doi.org/10.1109/iceice.2017.8191906
Srinivasulu P, Sarath Babu M, Venkat R (2016) Automated services for agrofarms using Internet of Things (IoT). Int J Comput Appl (IJCA) 154(11):17–21
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
De, S., Vijayakumaran, V. (2021). A Multi-tier Architecture for Soft and Hard Real-Time Systems Involving Multiple Data Sources for Efficient Data Processing. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_1
Download citation
DOI: https://doi.org/10.1007/978-981-15-7961-5_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7960-8
Online ISBN: 978-981-15-7961-5
eBook Packages: EngineeringEngineering (R0)