These devices can be located near or embedded in a wide variety of edge machines and equipment,such as robots,fleet vehicles,and distributed microgrids.The analytics can be embedded within distributed devices or created in a cloud environment and then sent to the edge for execution.From an operational perspective;security,privacy,data-related cost,and regulatory constraints are often the reasons cited for keeping the analytics local.
这些设备可以就近或嵌入在各种边缘机器和设备中,如机器人、车队车辆和分布式微电网。分析可以嵌入到分布式设备中,或者在云环境中创建,然后发送到边缘执行。从操作的角度来看,安全性、隐私性,与数据相关的成本以及监管限制常常是导致分析本地化的原因。
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