TY - GEN
T1 - Performance Evaluation of Mobile Edge Computing using 5G Networks
AU - Vaishnavi, A. S.
AU - Naresh, E.
AU - Vijay, G. R.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - With the number of people increased in using mobile devices, the usage of internet is exponentially growing and it causes more traffic congestion with the emerging devices like Internet of Things. So with this the requirements of delay and bandwidth for the network performance are increasing along with the latency in accessing the required information is increasing. Therefore, the new devices which support minimal delay have major issues. That is why the Mobile Edge Computing devices are introduced, which can reduce the latency in accessing and it can be used in both wired and wireless networks or mobile applications All the activities can be performed with the network edge in Edge Computing. Communication latency can be reduced in the devices and in between cloud and the devices, this technology is mainly used. All the resources of the cloud and local devices can be utilised in Edge Computing. This paper gives the detailed description of the performance analysis of Mobile Edge Computing devices with the single tier BS in communication with the remote cloud computing servers. The proposed work also discusses about the challenges faced in designing the Mobile Edge Computing enabled networks which is deployed in the single tier BS offloading for dynamic mobile users. The performance of edge computing is more when the network nodes are within the proximity of the end devices. The small amount of data is received also can reduce the end-to-end latency and bandwidth usage. The performance of Edge Computing can be measured easily with the fast networking speed with low delay supporting mobile applications for the dynamic mobile users.
AB - With the number of people increased in using mobile devices, the usage of internet is exponentially growing and it causes more traffic congestion with the emerging devices like Internet of Things. So with this the requirements of delay and bandwidth for the network performance are increasing along with the latency in accessing the required information is increasing. Therefore, the new devices which support minimal delay have major issues. That is why the Mobile Edge Computing devices are introduced, which can reduce the latency in accessing and it can be used in both wired and wireless networks or mobile applications All the activities can be performed with the network edge in Edge Computing. Communication latency can be reduced in the devices and in between cloud and the devices, this technology is mainly used. All the resources of the cloud and local devices can be utilised in Edge Computing. This paper gives the detailed description of the performance analysis of Mobile Edge Computing devices with the single tier BS in communication with the remote cloud computing servers. The proposed work also discusses about the challenges faced in designing the Mobile Edge Computing enabled networks which is deployed in the single tier BS offloading for dynamic mobile users. The performance of edge computing is more when the network nodes are within the proximity of the end devices. The small amount of data is received also can reduce the end-to-end latency and bandwidth usage. The performance of Edge Computing can be measured easily with the fast networking speed with low delay supporting mobile applications for the dynamic mobile users.
UR - http://www.scopus.com/inward/record.url?scp=85123369433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123369433&partnerID=8YFLogxK
U2 - 10.1109/CONECCT52877.2021.9622523
DO - 10.1109/CONECCT52877.2021.9622523
M3 - Conference contribution
AN - SCOPUS:85123369433
T3 - Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies
BT - Proceedings of CONECCT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021
Y2 - 9 July 2021 through 11 July 2021
ER -