A Software Architecture Model to Manage Heterogeneous Data using Edge Computing in 5G Environment

Authors

  • Majid Ayoubi Dalian University of Technology
  • Abdul Rahman Safi Kabul University, Computer Science Faculty
  • Jawid Ahmad Niazi Ghazni University, Faculty of Computer Science

DOI:

https://doi.org/10.59890/ijist.v2i10.2620

Keywords:

Mobile Edge Computing 5G, Heterogeneous Data Service Bus, User Equipment

Abstract

With the improvement of 5G communication service, the need for edge computing has become more apparent. The Mobile Edge Computing service (MEC) has become one of the best solutions for mobile User Equipment (UE) data processing. MEC provides more context-aware local processing of UE's data. Meanwhile, the MEC needs to manage the heterogeneous nature of UEs and the type of data format they provide. Therefore, a Heterogeneous Data Service Bus is developed to manage different types of data formats and organize them in efficient manner. We propose a software architecture model to address the management of data heterogeneity within computing edges. The architecture discussion showcases its applicability and proper handling of heterogeneous data in the Edge Computing Environment.

References

W. Z. Khan, E. Ahmed, S. Hakak, I. Yaqoob, and A. Ahmed, ‘‘Edge computing: A survey,’’ Future Gener. Comput. Syst., vol. 97, pp. 219–235, Aug. 2019.

Najmul Hassan, Kok-Lim Alvin Yau, And Celimuge Wu, " Edge Computing in 5G: A Review ", IEEE Access, vol. 7, pp. 127276-127289, 2019.

Popovski, K. F. Trillingsgaard, O. Simeone, and G. Durisi, ‘‘5G wireless network slicing for eMBB, URLLC, and mMTC: A communication theoretic view,’’ IEEE Access, vol. 6, pp. 55765–55779, 2018.

Zhao S , Li Z , Medhi D , et al. Study of user QoE improvement for dynamic adaptive streaming over HTTP (MPEG-DASH)[C]// 2017 International Conference on Computing, Networking and Communications (ICNC): Multimedia Computing and Communications

A. Ahmed and E. Ahmed, ‘‘A survey on mobile edge computing,’’ in Proc. 10th Int. Conf. Intell. Syst. Control (ISCO), Jan. 2016, pp. 1–9.

Mobile Edge Computing - a key technology towards 5G (book)

G Vision: The 5G Infrastructure Public Private Partnership: the next generation of communication networks and services. From The 5G Infrastructure Public Private Partnership: https://5g-ppp.eu/wp-content/uploads/2015/02/5G-Vision-Brochure-v1.pdf

Tilly Gilbert (2022) Available at: https://stlpartners.com/articles/edge-computing/5g-edge-computing/, accessed: 02/10/2023.

Ion-Dorinel Filip, Andrei Vlad Postoaca, Radu-Dumitru Stochitoiu, Darius-Florentin Neatu, Catalin Negru, "Data Capsule: Representation of Heterogeneous Data in Cloud-Edge Computing", IEEE Access, vol. 9, pp. 49558-49567, 2019.

Najmul Hassan, Kok-Lim Alvin Yau, And Celimuge Wu, " Edge Computing in 5G: A Review ", IEEE Access, vol. 7, pp. 127276-127289, 2019.

K. Yeow, A. Gani, R. W. Ahmad, J. Rodrigues, and K. Ko, ‘‘Decentralized consensus for edge-centric Internet of Things: A review, taxonomy, and research issues,’’ IEEE Access, vol. 6, pp. 1513–1524, 2017.

K. Zhang, Y. Mao, S. Leng, Q. Zhao, L. Li, X. Peng, L. Pan, S. Maharjan, and Y. Zhang, ‘‘Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks,’’ IEEE Access, vol. 4, pp. 5896–5907, 2016.

T. X. Tran, A. Hajisami, P. Pandey, and D. Pompili, ‘‘Collaborative mobile edge computing in 5G networks: New paradigms, scenarios, and challenges,’’ IEEE Commun. Mag., vol. 55, no. 4, pp. 54–61, Apr. 2017.

I. A. Ridhawi, M. Aloqaily, Y. Kotb, Y. A. Ridhawi, and Y. Jararweh, ‘‘A collaborative mobile edge computing and user solution for service composition in 5G systems,’’ Trans. Emerg. Telecommun. Technol., vol. 29, no. 11, Jun. 2018, Art. no. e3446.

Ayoubi, M., Ravichandra S., "SEDA-SOA: A Scalabale Event-Driven Context-Aware Service Oriented Architecture," in ICCNT, Banglore, India, 2018.

Downloads

Published

2024-11-04

How to Cite

Ayoubi, M., Safi, A. R., & Niazi, J. A. (2024). A Software Architecture Model to Manage Heterogeneous Data using Edge Computing in 5G Environment. International Journal of Integrated Science and Technology, 2(10), 947–954. https://doi.org/10.59890/ijist.v2i10.2620