Journal Synopsis

The aim of the project is to understand the concept of edge computing, its effectiveness with generic IoT and time-critical IoT application and devices, and the current trends in processing IoT data.

The primary source of information was through articles downloaded from various databases where the content of the materials was closely related to the topic mentioned. Some materials though containing relevant information, also had huge of information which had to be skimmed or skipped thus leading to the challenge of keeping it to just twelve (12) published article.

Though starting out considering Edge computing paradigm to be a separate or new concept and given me the idea of it being an branch out of cloud computing. Time-critical IoT framework would work best with a computing paradigm offering low latency and minimal bandwidth issues. Time critical IoT framework is rapidly evolving and with it brings numerous researchers who are envisioning prototypes for these issues

Edge Computing with a blend with other paradigm could best serve the issues and challenges with the massive influx of IoT. Though Cloud Computing is largely used with IoT, the turnaround time would determine which architecture would best suit to address these challenges. Edge computing architecture implemented for in a Time-critical IoT application and devices seems to be the best way forward.

Reference:

Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective. IEEE Internet of Things Journal, 1(4), 349-359. doi:10.1109/JIOT.2014.2337336

Suciu, G., Anwar, M., Ganaside, A., & Scheianu, A. (2017, 29 June-1 July 2017). IoT time critical applications for environmental early warning. Paper presented at the 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

Linthicum, D. S. (2017). Connecting Fog and Cloud Computing. IEEE Cloud Computing, 4(2), 18-20. doi:10.1109/MCC.2017.37

Zhao, Z., Martin, P., Wang, J., Taal, A., Jones, A., Taylor, I., . . . de Laat, C. (2015). Developing and Operating Time Critical Applications in Clouds: The State of the Art and the SWITCH Approach. Procedia Computer Science, 68(C), 17-28. doi:10.1016/j.procs.2015.09.220

Hu, P., Dhelim, S., Ning, H., & Qiu, T. (2017). Survey on fog computing: architecture, key technologies, applications and open issues. Journal of Network and Computer Applications, 98, 27-42. doi:https://doi.org/10.1016/j.jnca.2017.09.002

Omoniwa, B., Hussain, R., Javed, M. A., Bouk, S. H., & Malik, S. A. (2019). Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues. IEEE Internet of Things Journal, 6(3), 4118-4149. doi:10.1109/JIOT.2018.2875544

Datta, S. K., Bonnet, C., & Haerri, J. (2015, 24-26 June 2015). Fog Computing architecture to enable consumer centric Internet of Things services. Paper presented at the 2015 International Symposium on Consumer Electronics (ISCE).

Verma, S., Kawamoto, Y., Fadlullah, Z. M., Nishiyama, H., & Kato, N. (2017). A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues. IEEE Communications Surveys & Tutorials, 19(3), 1457-1477. doi:10.1109/COMST.2017.2694469

Toka, L., Lajtha, B., É, H., Formanek, B., Géhberger, D., & Tapolcai, J. (2017, 1-4 May 2017). A resource-aware and time-critical IoT framework. Paper presented at the IEEE INFOCOM 2017 – IEEE Conference on Computer Communications.

Gusev, M., & Dustdar, S. (2018). Going Back to the Roots-The Evolution of Edge Computing, An IoT Perspective. IEEE Internet Computing, 22(2), 5-15. doi:10.1109/MIC.2018.022021657

Chiang, M., & Zhang, T. (2016). Fog and IoT: An Overview of Research Opportunities. IEEE Internet of Things Journal, 3(6), 854-864. doi:10.1109/JIOT.2016.2584538

Fernández, C. M., Rodríguez, M. D., & Muñoz, B. R. (2018, 29-31 May 2018). An Edge Computing Architecture in the Internet of Things. Paper presented at the 2018 IEEE 21st International Symposium on Real-Time Distributed Computing (ISORC).

Caprolu, M., et al. (2019). Edge Computing Perspectives: Architectures, Technologies, and Open Security Issues. 2019 IEEE International Conference on Edge Computing (EDGE).