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Adaptive computation at the tactical edge using a proactive resource allocator for reduced latencies

机译:使用主动资源分配器在战术边缘进行自适应计算以减少延迟

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摘要

Here we compare the latency performance of active and passive offloading decisions pathways which we use with our adaptive computing engine. The passive pathway will query nodes for offloading after a job has been submitted, while the active pathway will query system information before jobs are submitted to create an offloading plan. The offloading plan reduces latency and communication overhead by cutting out the offloading query required for each job under the passive pathway. Overall we see a 6ms reduction in latency when using the active pathway in a multi-node environment connected over Wi-Fi.
机译:在这里,我们比较了与自适应计算引擎一起使用的主动和被动卸载决策路径的延迟性能。被动路径将在提交作业后查询节点以进行卸载,而主动路径将在提交作业以创建卸载计划之前查询系统信息。卸载计划通过消除被动路径下每个作业所需的卸载查询来减少延迟和通信开销。总体而言,在通过Wi-Fi连接的多节点环境中使用主动路径时,我们看到延迟减少了6毫秒。

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