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A Dynamic Service Migration Mechanism in Edge Cognitive Computing

机译:边缘认知计算中的动态服务迁移机制

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摘要

Driven by the vision of edge computing and the success of rich cognitive services based on artificial intelligence, a new computing paradigm, edge cognitive computing (ECC), is a promising approach that applies cognitive computing at the edge of the network. ECC has the potential to provide the cognition of users and network environmental information, and further to provide elastic cognitive computing services to achieve a higher energy efficiency and a higher Quality of Experience (QoE) compared to edge computing. This article first introduces our architecture of the ECC and then describes its design issues in detail. Moreover, we propose an ECC-based dynamic service migration mechanism to provide insight into how cognitive computing is combined with edge computing. In order to evaluate the proposed mechanism, a practical platform for dynamic service migration is built up, where the services are migrated based on the behavioral cognition of a mobile user. The experimental results show that the proposed ECC architecture has ultra-low latency and a high user experience, while providing better service to the user, saving computing resources, and achieving a high energy efficiency.
机译:通过边缘计算的愿景和基于人工智能的丰富认知服务的成功,新的计算范例,边缘认知计算(ECC)是一种希望在网络边缘应用认知计算的有希望的方法。 ECC有潜力能够提供用户和网络环境信息的认知,并进一步提供弹性认知计算服务,以实现与边缘计算相比更高的能量效率和更高质量的体验(QoE)。本文首先介绍了ECC的架构,然后详细描述了其设计问题。此外,我们提出了一种基于ECC的动态服务迁移机制,以了解认知计算如何与边缘计算结合的洞察。为了评估所提出的机制,建立了一种用于动态服务迁移的实际平台,基于移动用户的行为认知迁移服务。实验结果表明,所提出的ECC架构具有超低延迟和高用户体验,同时为用户提供更好的服务,节省计算资源,实现高能量效率。

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