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Migration strategy of cloud collaborative computing for delay-sensitive industrial IoT applications in the context of intelligent manufacturing

机译:智能制造背景下延时敏感工业物联网应用云协作计算的迁移策略

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In the context of intelligent manufacturing, machinery and equipment in the industrial manufacturing process form the "industrial Internet of Things." In this process of interlocking production, the requirements for sensor data delay typically reach the millisecond level. Once the data is delayed, the equipment will be shut down, which will make the production difficult or dangerous. In the context of intelligent manufacturing, local computers have been unable to complete calculations and decisions quickly and on time for the huge computing demands. Therefore, the cloud computing migration mode needs to be introduced, but cloud computing migration will cause additional delays. Based on the above problems, this paper designs a cloud cooperative migration strategy based on the information exchange structure of the industrial Internet of Things and the delay mechanism caused by the migration. The feasibility of selecting the optimal migration strategy based on task partitioning is verified by simulation.
机译:在工业制造过程中智能制造,机械和设备的背景下,形成“工业互联网”。在该互锁生产的过程中,传感器数据延迟的要求通常达到毫秒级别。一旦数据延迟,设备将被关闭,这将使生产困难或危险。在智能制造的背景下,当地计算机无法快速地完成计算和决策,以便进行巨大的计算需求。因此,需要引入云计算迁移模式,但云计算迁移将导致额外的延迟。基于上述问题,本文基于事业互联网信息交流结构和迁移引起的延迟机制设计了云合作迁移策略。通过仿真验证了基于任务分区选择最佳迁移策略的可行性。

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