Skip to main content
SpringerLink
Log in

Edge Computing: A Review of Application Scenarios

  • Conference paper
  • First Online:
Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions (DCAI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1004))

Abstract

Edge Computing (EC) emerges as an alternative to process the large volume of data generated by devices connected to the Internet, through the Internet of Things (IoT). This article is an introduction to EC and application scenarios such as: smart cities, Industry 4.0, Smart energy, healthcare, in which EC could allow the optimization of processes that normally run in cloud computing. This optimization consists in the pre-processing the data collected by devices before being sent to a central server, or to the cloud.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Casado-Vara, R., Novais, P., Gil, A. B., Prieto, J., Corchado, J.M.: Distributed continuous-time fault estimation control for multiple devices in IoT networks. IEEE Access (2019)

    Google Scholar 

  2. De la Prieta, F., Navarro, M., García, J. A., González, R., Rodríguez, S.: Multi-agent system for controlling a cloud computing environment. In: Portuguese Conference on Artificial Intelligence, pp. 13–20. Springer, Heidelberg, September 2013

    Google Scholar 

  3. Heras, S., De la Prieta, F., Julian, V., Rodríguez, S., Botti, V., Bajo, J., Corchado, J.M.: Agreement technologies and their use in cloud computing environments. Progress Artif. Intell. 1(4), 277–290 (2012)

    Article  Google Scholar 

  4. Rodríguez-Gonzalez, S., Tapia, D.I., Sanz, E., Zato, C., De La Prieta, F., Gil, O.: Cloud computing integrated into service-oriented multi-agent architecture. In: IFIP Advances in Information and Communication Technology. AICT, vol. 322 (2010)

    Chapter  Google Scholar 

  5. del Rey, Á.M., Batista, F.K., Dios, A.Q.: Malware propagation in wireless sensor networks: global models vs individual-based models. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(3), 5–15 (2017). Salamanca

    Article  Google Scholar 

  6. Pinto, A., Costa, R.: Hash-chain-based authentication for IoT. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 5(4) (2016). Salamanca

    Google Scholar 

  7. Becerril, A.A.: The value of our personal data in the big data and the Internet of all Things Era. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 71–80 (2018)

    Article  Google Scholar 

  8. Casado-Vara, R., Chamoso, P., De la Prieta, F., Prieto, J., Corchado, J.M.: Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. Inf. Fusion (2019)

    Article  Google Scholar 

  9. Casado-Vara, R., Prieto-Castrillo, F., Corchado, J.M.: A game theory approach for cooperative control to improve data quality and false data detection in WSN. Int. J. Robust Nonlinear Control 28(16), 5087–5102 (2018)

    Article  MathSciNet  Google Scholar 

  10. Kethareswaran, V., Sankar Ram, C.: An Indian perspective on the adverse impact of Internet of Things (IoT). ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 35–40 (2017)

    Article  Google Scholar 

  11. Lopez, P.G., Montresor, A., Epema, D., Datta, A., Higashino, T., Iamnitchi, A., Riviere, E.: Edge-centric computing: vision and challenges. SIGCOMM Comput. Commun. Rev. 45(5), 37–42 (2015)

    Article  Google Scholar 

  12. Evans, D.: The internet of things: how the next evolution of the internet is changing everything. CISCO White Paper 1(2011), 1–11 (2011)

    Google Scholar 

  13. Yi, S., Hao, Z., Qin, Z., Li, Q.: Fog computing: platform and applications. In: 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb), pp. 73–78 (2015)

    Google Scholar 

  14. Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., Satyanarayanan, M.: Towards wearable cognitive assistance. In: Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services, pp. 68–81 (2014)

    Google Scholar 

  15. Mata, A., Lancho, B.P., Corchado, J.M.: Forest fires prediction by an organization based system. In: PAAMS 2010, pp. 135–144 (2010)

    Google Scholar 

  16. Bullon, J., et al.: Manufacturing processes in the textile industry. Expert systems for fabrics production. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 15–23 (2017)

    Article  Google Scholar 

  17. Rivas, A., Martín, L., Sittón, I., Chamoso, P., Martín-Limorti, J.J., Prieto, J., González-Briones, A.: Semantic analysis system for industry 4.0. In: International Conference on Knowledge Management in Organizations, pp. 537–548. Springer, Cham, August 2018

    Google Scholar 

  18. Sittón-Candanedo, I., Rodríguez-Gonzalez, S.: Pattern extraction for the design of predictive models in industry 4.0. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 258–261 (2017)

    Google Scholar 

  19. Sittón-Candanedo, I., Nieves, E.H., González, S.R., Martín, M.T.S., Briones, A.G.: Machine learning predictive model for industry 4.0. In: International Conference on Knowledge Management in Organizations, pp. 501–510. Springer, Cham, August 2018

    Google Scholar 

  20. Fernandes, F., Gomes, L., Morais, H., Silva, M.R., Vale, Z.A., Corchado, J.M.: Dynamic energy management method with demand response interaction applied in an office building. In: PAAMS (Special Sessions) 2016, pp. 69–82 (2016)

    Google Scholar 

  21. Gazafroudi, A.S., Corchado, J.M., Kean, A., Soroudi, A.: Decentralized flexibility management for electric vehicles. IET Renew. Power Gener. (2019)

    Google Scholar 

  22. Gazafroudi, A.S., Soares, J., Ghazvini, M.A.F., Pinto, T., Vale, Z., Corchado, J.M.: Stochastic interval-based optimal offering model for residential energy management systems by household owners. Int. J. Electr. Power Energy Syst. 105, 201–219 (2019)

    Article  Google Scholar 

  23. Gonzalez-Briones, A., Chamoso, P., De La Prieta, F., Demazeau, Y., Corchado, J.M.: Agreement technologies for energy optimization at home. Sensors (Basel) 18(5), 1633 (2018)

    Article  Google Scholar 

  24. González-Briones, A., Chamoso, P., Yoe, H., Corchado, J.M.: GreenVMAS: virtual organization based platform for heating greenhouses using waste energy from power plants. Sensors 18(3), 861 (2018)

    Article  Google Scholar 

  25. Gonzalez-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors (Basel) 18(3), 865 (2018)

    Article  Google Scholar 

  26. Prieto-Castrillo, F., Shokri Gazafroudi, A., Prieto, J., Corchado, J.M.: An Ising spin-based model to explore efficient flexibility in distributed power systems. Complexity (2018)

    Google Scholar 

  27. Canizes, B., Pinto, T., Soares, J., Vale, Z., Chamoso, P., Santos, D.: Smart City: a GECAD-BISITE energy management case study. In: 15th International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2017, Trends in Cyber-Physical Multi-Agent Systems, vol. 2, pp. 92–100 (2017)

    Google Scholar 

  28. Chamoso, P., González-Briones, A., Rivas, A., De La Prieta, F., Corchado, J.M.: Social computing in currency exchange. Knowl. Inf. Syst. (2019)

    Google Scholar 

  29. Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wirel. Commun. Mob. Comput. (2018)

    Google Scholar 

  30. Chamoso, P., Rivas, A., Martín-Limorti, J.J., Rodríguez, S.: A hash based image matching algorithm for social networks. In: Advances in Intelligent Systems and Computing, vol. 619, pp. 183–190 (2018)

    Google Scholar 

  31. Li, T., Sun, S., Bolić, M., Corchado, J.M.: Algorithm design for parallel implementation of the SMC-PHD filter. Sig. Process. 119, 115–127 (2016)

    Article  Google Scholar 

  32. Morente-Molinera, J.A., Kou, G., González-Crespo, R., Corchado, J.M., Herrera-Viedma, E.: Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowl.-Based Syst. 137, 54–64 (2017)

    Article  Google Scholar 

  33. Román, J.Á., Rodríguez, S., Corchado, J.M.: Improving intelligent systems: specialization. In: PAAMS (Workshops) 2014, pp. 378–385 (2014)

    Google Scholar 

  34. Chamoso, P., Rodríguez, S., de la Prieta, F., Bajo, J.: Classification of retinal vessels using a collaborative agent-based architecture. AI Commun. (Preprint), 1–18 (2018)

    Google Scholar 

  35. Tapia, D.I., Alonso, R.S., De Paz, J.F., Zato, C., Prieta, F.D.L.: A telemonitoring system for healthcare using heterogeneous wireless sensor networks. Int. J. Artif. Intell. 6(S11), 112–128 (2011)

    Google Scholar 

  36. Fuentes, D., Laza, R., Pereira, A.: Intelligent devices in rural wireless networks. DCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(4), 23–30 (2013). Salamanca

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Bisite Research Group, University of Salamanca, Calle Espejo 2, 37007, Salamanca, Spain

    Inés Sittón-Candanedo

Authors
  1. Inés Sittón-Candanedo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Inés Sittón-Candanedo .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Enrique Herrera-Viedma

  2. Engineering Institute, Polytechnic of Porto, Porto, Portugal

    Zita Vale

  3. Department of Materials and Production, The Faculty of Engineering and Science, Aalborg University, Aalborg, Denmark

    Peter Nielsen

  4. Department of Applied Mathematics, Faculty of Science, University of Salamanca, Salamanca, Salamanca, Spain

    Angel Martin Del Rey

  5. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Roberto Casado Vara

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sittón-Candanedo, I. (2020). Edge Computing: A Review of Application Scenarios. In: Herrera-Viedma, E., Vale, Z., Nielsen, P., Martin Del Rey, A., Casado Vara , R. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1004. Springer, Cham. https://doi.org/10.1007/978-3-030-23946-6_24

Download citation

Publish with us

Policies and ethics

Search

Navigation