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1.南京大学软件新技术国家重点实验室,江苏南京 210023
2.人工智能与数字经济广东省实验室,广东深圳 518060
3.西南林业大学大数据与智能工程学院,云南昆明 650000
Received:01 September 2021,
Revised:2022-03-02,
Published:25 January 2024
移动端阅览
许悦玥,刘博文,田臣,等.基于联盟链的可靠边缘计算任务卸载方法[J].电子学报,2024,52(01):232-243.
XU Yue-yue, LIU Bo-wen, TIAN Chen, et al.A Consortium Blockchain Based Reliable Task Offloading Approach in Edge Computing[J].Acta Electronica Sinica, 2024, 52(01): 232-243.
许悦玥,刘博文,田臣,等.基于联盟链的可靠边缘计算任务卸载方法[J].电子学报,2024,52(01):232-243. DOI:10.12263/DZXB.20211195
XU Yue-yue, LIU Bo-wen, TIAN Chen, et al.A Consortium Blockchain Based Reliable Task Offloading Approach in Edge Computing[J].Acta Electronica Sinica, 2024, 52(01): 232-243. DOI:10.12263/DZXB.20211195
随着移动终端尤其是工业互联网技术的快速发展,终端设备密集分布,无线带宽有限,经常导致业务过程中的集中式云资源调度,难以满足远程终端应用对低时延和低成本计算的需求.着眼于本地服务器联动云数据中心,边缘计算为这类移动应用提供了一种敏捷的计算服务模式.虽然边缘计算的敏捷服务模式能够有效缩短移动应用的时延并降低对应的通信成本,但在边缘计算环境下,异构资源之间的任务卸载经常会导致一些潜在的数据安全隐患和服务质量受损.针对上述应用挑战和技术发展趋势,本文提出了一种基于联盟链的可靠边缘计算任务卸载方法.该方法利用联盟链进行身份校验和卸载结果反馈,以任务的完成时间、卸载成本与资源可靠度作为评价标准,设计了一种基于遗传算法的卸载策略,支持卸载决策时任务卸载的可靠性评估.实验结果表明,本文方法能在满足时延约束的前提下提高任务卸载的可靠性,为移动智能应用提供了一种有效的数据安全保障方法.
With the rapid development of mobile terminals
especially the industrial Internet technique
the dense distribution of terminal devices and the limitation of wireless mobile bandwidth make it difficult for the centralized cloud resource scheduling of specific business processes to meet the low-latency and low-cost computing needs of remote terminal applications. Focusing on local servers linked to cloud data centers
edge computing provides an agile computing service model for these mobile applications. Although the service pattern of edge computing can effectively reduce the latency of mobile applications and the communication costs
task offloading between heterogeneous resources in the edge computing environment often leads to potential data security hazards and compromised quality of service. In response to the above challenges and technology development trends
we propose a consortium blockchain based reliable task offloading approach in edge computing. In this approach
we design a genetic algorithm-based offloading strategy using the consortium blockchain for identity verification and feedback of offloading results
and using task completion time
offloading cost and resource reliability as evaluation index. The results of simulation experiments show that our approach can improve task offload reliability while satisfying the latency constraint
providing an effective data security approach for mobile smart applications.
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