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Bibliografía



1. White, T. Hadoop: The Definitive Guide, 3rd Edition.  Yahoo Press. 2012

2. Coulouris, G. [et al.] Distributed Systems: concepts and design (5 ed.). Pearson, 2011

3. Tanenbaum, Andrew S. & Van Steen, Maarten. Distributed Systems: principles and paradigms. CreateSpace Independent Publishing Platform, 2017

4. Chen, M., Mao, S. & Liu, Y. Big Data: A Survey. Mobile Netw Appl 19, 171–209 (2014)

5. Maggi Bansal, Inderveer Chana, and Siobhán Clarke.  A Survey on IoT Big Data: Current Status, 13 V’s Challenges, and Future Directions. ACM Computing Surveys. 53, 6, Article 131. 2020. (URL)

6. Cai, H.,  Xu, B., Jiang, L. J. and Vasilakos, A. V. "IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges". IEEE Internet of Things Journal, vol. 4, no. 1, pp. 75-87, Feb. 2017.

7. Asaadi, H., Khaldi, D., & Chapman, B. (2016). A Comparative Survey of the HPC and Big Data Paradigms: Analysis and Experiments. 2016 IEEE International Conference on Cluster Computing (CLUSTER), Taipei, Taiwan, pp. 423-432.

8. Usman, S., Mehmood, R., Katib, I.Big Data and HPC Convergence for Smart Infrastructures: A Review and Proposed Architecture. In: Mehmood, R., See, S., Katib, I., Chlamtac, I. (eds) Smart Infrastructure and Applications. EAI/Springer Innovations in Communication and Computing. Springer, 2020

9. Holmes, A. Hadoop in Practice. Manning Publications Co, 2012

10. Salloum, S., Dautov, R., Chen, X. [et al.] "Big data analytics on Apache Spark".  International Journal of Data Science and Analytics 1, 145–164 (2016).

Última modificación: miércoles, 17 de diciembre de 2025, 12:09