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Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms

机译:朝着认知计算连续体:ad-hoc自我管理的群体的架构

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In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collaboration between heterogeneous devices outside the traditional data centre boundaries. The focal point of this continuum are cognitive devices, which have to make decisions autonomously using their on-board computation and storage capacity based on information sensed from their environment. Such devices are moving and cannot rely on fixed infrastructure elements, but instead realise on-the-fly networking and thus frequently join and leave temporal swarms. All this creates novel demands for the underlying architecture and resource management, which must bridge the gap from edge to cloud environments, while keeping the QoS parameters within required boundaries. The paper presents an initial architecture and a resource management framework for the implementation of this type of IT service provisioning.
机译:在本文中,我们介绍了对传统数据中心边界外的异构设备之间的分布式,机会主义,自我管理的改变的认知计算连续内的愿景,以解决变化的IT服务供应。 该连续体的焦点是认知设备,必须根据从其环境感测的信息,使用他们的板载计算和存储容量自主地做出决策。 这样的设备正在移动,不能依赖于固定的基础设施元素,而是实现了持续网络化,从而频繁加入并留出时间的群。 这一切都为潜在的架构和资源管理创造了新的要求,它必须将差距从边缘桥到云环境,同时将QoS参数保持在所需边界。 本文提出了初始体系结构和用于实现此类IT服务配置的资源管理框架。

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