Next Article in Journal / Special Issue
Exploiting Virtual Machine Commonality for Improved Resource Allocation in Edge Networks
Previous Article in Journal
Toward Campus Mail Delivery Using BDI
Article

End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios

1
Dipartimento di Ingegneria dell’Informazione, University of Pisa, 56021 Pisa, Italy
2
Intel Deutschland GmbH, Am Campeon 10-12, 85579 Neubiberg, Germany
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2020, 9(4), 57; https://doi.org/10.3390/jsan9040057
Received: 22 October 2020 / Revised: 24 November 2020 / Accepted: 8 December 2020 / Published: 11 December 2020
Multi-access edge computing (MEC) promises to deliver localized computing power and storage. Coupled with low-latency 5G radio access, this enables the creation of high added-value services for mobile users, such as in-vehicle infotainment or remote driving. The performance of these services as well as their scalability will however depend on how MEC will be deployed in 5G systems. This paper evaluates different MEC deployment options, coherent with the respective 5G migration phases, using an accurate and comprehensive end-to-end (E2E) system simulation model (exploiting Simu5G for radio access and Intel CoFluent for core network and MEC), taking into account user-related metrics, such as response time or MEC latency. Our results show that 4G radio access is going to be a bottleneck, preventing MEC services from scaling up. On the other hand, the introduction of 5G will allow a considerable higher penetration of MEC services. View Full-Text
Keywords: MEC; new radio; Simu5G; CoFluent; performance evaluation MEC; new radio; Simu5G; CoFluent; performance evaluation
Show Figures

Figure 1

MDPI and ACS Style

Virdis, A.; Nardini, G.; Stea, G.; Sabella, D. End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios. J. Sens. Actuator Netw. 2020, 9, 57. https://doi.org/10.3390/jsan9040057

AMA Style

Virdis A, Nardini G, Stea G, Sabella D. End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios. Journal of Sensor and Actuator Networks. 2020; 9(4):57. https://doi.org/10.3390/jsan9040057

Chicago/Turabian Style

Virdis, Antonio, Giovanni Nardini, Giovanni Stea, and Dario Sabella. 2020. "End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios" Journal of Sensor and Actuator Networks 9, no. 4: 57. https://doi.org/10.3390/jsan9040057

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop