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Energy and latency impact of outsourcing decisions in mobile image processing

机译:Energy and latency impact of outsourcing decisions in mobile image processing

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This research paper illustrates an adaptive outsourcing algorithm that runs on mobile phones. The algorithm outsources the computational load that needs to be done on a sensor data (in this case an image) to a server, based on many criteria, where the execution takes place. The end result is sent back to the mobile phone and presented to the user. The results from these measurements have shown up to 85 % decrease in power consumption and up to 60% decrease in latency compared to locally executing on the mobile phone in many situations. Moreover, outsourcing using a WiFi connection has proved to be favourable in most scenarios where complex algorithms are applied on the image, while a 3G connection has showed a lot of discrepancy from one situation to another.
机译:本文阐述了一种在手机上运行的自适应外包算法。该算法将需要对传感器数据(在本例中为图像)执行的计算负载外包给服务器,基于许多标准,在服务器上执行。最终结果被发送回手机并呈现给用户。这些测量结果表明,在许多情况下,与在手机上本地执行相比,功耗降低了85%,延迟降低了60%。此外,事实证明,在大多数情况下,使用WiFi连接进行外包是有利的,因为图像上应用了复杂的算法,而3G连接在不同的情况下表现出了很大的差异。

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