With the advancements of the next-generation communication networking and Internet ofThings(IoT)technologies,a variety of computation-intensive applications(e.g.,autonomous driving and face recognition)have emerged.Th...With the advancements of the next-generation communication networking and Internet ofThings(IoT)technologies,a variety of computation-intensive applications(e.g.,autonomous driving and face recognition)have emerged.The execution of these IoT applications demands a lot of computing resources.Nevertheless,terminal devices(TDs)usually do not have sufficient computing resources to process these applications.Offloading IoT applications to be processed by mobile edge computing(MEC)servers with more computing resources provides a promising way to address this issue.While a significant number of works have studied task offloading,only a few of them have considered the security issue.This study investigates the problem of spectrum allocation and security-sensitive task offloading in an MEC system.Dynamic voltage scaling(DVS)technology is applied by TDs to reduce energy consumption and computing time.To guarantee data security during task offloading,we use AES cryptographic technique.The studied problem is formulated as an optimization problem and solved by our proposed efficient offloading scheme.The simulation results show that the proposed scheme can reduce system cost while guaranteeing data security.展开更多
能耗已经成为微处理器设计的最大挑战之一。微处理器的能耗在便携设备中占有重要的比例。DVS（Dynamic Voltage Scaling）机制可以在设备运行过程中，通过降低处理器的工作电压来降低它的能耗。同时，还需降低处理器的速度。电压调度程...能耗已经成为微处理器设计的最大挑战之一。微处理器的能耗在便携设备中占有重要的比例。DVS（Dynamic Voltage Scaling）机制可以在设备运行过程中，通过降低处理器的工作电压来降低它的能耗。同时，还需降低处理器的速度。电压调度程序通过分析应用的约束和需求来给定适当的工作电压。文章论述了速度和输入电压可变的微处理器系统设计方法。在处理器低速工作时，降低工作电压可以大幅度降低它的能耗。这将使应用系统能快速地根据负荷的变化调节处理器的性能。展开更多
基金supported in part by Key Scientific Research Projects of Colleges and Universities in Anhui Province(2022AH051921)Science Research Project of Bengbu University(2024YYX47pj,2024YYX48pj)+8 种基金Anhui Province Excellent Research and Innovation Team in Intelligent Manufacturing and Information Technology(2023AH052938)Big Data and Machine Learning Research Team(BBXYKYTDxj05)Funding Project for the Cultivation of Outstanding Talents in Colleges and Universities(gxyqZD2021135)the Key Scientific Research Projects of Anhui Provincial Department of Education(2022AH051376)Start Up Funds for Scientific Research of High-Level Talents of Bengbu University(BBXY2020KYQD02)Scientific Research and Development Fund of Suzhou University(2021fzjj29)Research on Grain Logistics Data Processing and Safety Issues(ALAQ202401017)the Open Fund of State Key Laboratory of Tea Plant Biology and Utilization(SKLTOF20220131)funded by the Ongoing Research Funding Program(ORF-2025-102),King Saud University,Riyadh,Saudi Arabia.
文摘With the advancements of the next-generation communication networking and Internet ofThings(IoT)technologies,a variety of computation-intensive applications(e.g.,autonomous driving and face recognition)have emerged.The execution of these IoT applications demands a lot of computing resources.Nevertheless,terminal devices(TDs)usually do not have sufficient computing resources to process these applications.Offloading IoT applications to be processed by mobile edge computing(MEC)servers with more computing resources provides a promising way to address this issue.While a significant number of works have studied task offloading,only a few of them have considered the security issue.This study investigates the problem of spectrum allocation and security-sensitive task offloading in an MEC system.Dynamic voltage scaling(DVS)technology is applied by TDs to reduce energy consumption and computing time.To guarantee data security during task offloading,we use AES cryptographic technique.The studied problem is formulated as an optimization problem and solved by our proposed efficient offloading scheme.The simulation results show that the proposed scheme can reduce system cost while guaranteeing data security.
文摘能耗已经成为微处理器设计的最大挑战之一。微处理器的能耗在便携设备中占有重要的比例。DVS（Dynamic Voltage Scaling）机制可以在设备运行过程中，通过降低处理器的工作电压来降低它的能耗。同时，还需降低处理器的速度。电压调度程序通过分析应用的约束和需求来给定适当的工作电压。文章论述了速度和输入电压可变的微处理器系统设计方法。在处理器低速工作时，降低工作电压可以大幅度降低它的能耗。这将使应用系统能快速地根据负荷的变化调节处理器的性能。
