<abstract xmlns="http://www.w3.org/1999/xhtml"><p>With the widespread use of IOT scenario and the development of mobile network technology, the access to many devices at the edge of the network has generated an exponential increase in the volume of data, bringing higher than ever before the demand for data transmission bandwidth, traditional centralized cloud computing can no longer meet the demand, the need to adopt edge computing distributed collaborative approach to data processing. In this paper, we study a mobile edge computing model based on energy consumption optimization management under a certain delay constraint, focus on an edge computing offload scheme based on security management, and design an offload decision scheme based on a multi-objective optimization hybrid quantum evolution algorithm (MHQEA) to ensure the security of user equipments during computing offload in the edge network and reduce total system energy consumption.</p></abstract>

With the widespread use of IOT scenario and the development of mobile network technology, the access to many devices at the edge of the network has generated an exponential increase in the volume of data, bringing higher than ever before the demand for data transmission bandwidth, traditional centralized cloud computing can no longer meet the demand, the need to adopt edge computing distributed collaborative approach to data processing. In this paper, we study a mobile edge computing model based on energy consumption optimization management under a certain delay constraint, focus on an edge computing offload scheme based on security management, and design an offload decision scheme based on a multi-objective optimization hybrid quantum evolution algorithm (MHQEA) to ensure the security of user equipments during computing offload in the edge network and reduce total system energy consumption.

A Study of Edge Computing Offloading Based on Security

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"A Study of Edge Computing Offloading Based on Security"}

With the widespread use of IOT scenario and the development of mobile network technology, the access to many devices at the edge of the network has generated...

A Study of Edge Computing Offloading Based on Security

Online veröffentlicht: 13. Juli 2020

Seitenbereich: 58 - 63

DOI: https://doi.org/10.21307/ijanmc-2020-017

Schlüsselwörter
Edge Computing, Computing Offloading, Resource Allocation

© 2020 Luo Pei et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Study of Edge Computing Offloading Based on Security

Online veröffentlicht: 13. Juli 2020

Seitenbereich: 58 - 63

DOI: https://doi.org/10.21307/ijanmc-2020-017

SchlüsselwörterEdge Computing, Computing Offloading, Resource Allocation

© 2020 Luo Pei et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Edge Computing, Computing Offloading, Resource Allocation