论文标题
爱马仕：启用具有广义重复数据删除的节能物联网网络
Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication
论文作者
论文摘要
随着物联网（IoT）的出现，近年来观察到的越来越多的连接设备，并预测，在接下来的十年中，越来越多的数据必须通过网络传输，然后再处理并存储在数据中心。广义重复数据删除（GD）是一种新颖的技术，可以通过识别相似的数据块来有效地降低数据存储成本，并能够通过限制需要传输的数据来逐渐减少网络基础架构的压力。 本文介绍了爱马仕（Hermes），这是一种用于数据平面的应用程序级协议，可以通过广义重复数据删除以及经典的重复数据删除。爱马仕（Hermes）大大减少了数据传输流量，同时有效地减少了能量足迹，这是在物联网部署中需要考虑的一项相关问题。我们完全实施了爱马仕，并使用消费级的物联网设备（例如Raspberry Pi 4B型号）评估了其性能。我们的结果突出了几个考虑现实工作量时必须考虑的几个权衡。
With the advent of the Internet of Things (IoT), the ever growing number of connected devices observed in recent years and foreseen for the next decade suggests that more and more data will have to be transmitted over a network, before being processed and stored in data centers. Generalized deduplication (GD) is a novel technique to effectively reduce the data storage cost by identifying similar data chunks, and able to gradually reduce the pressure from the network infrastructure by limiting the data that needs to be transmitted. This paper presents Hermes, an application-level protocol for the data-plane that can operate over generalized deduplication, as well as over classic deduplication. Hermes significantly reduces the data transmission traffic while effectively decreasing the energy footprint, a relevant matter to consider in the context of IoT deployments. We fully implemented Hermes and evaluated its performance using consumer-grade IoT devices (e.g., Raspberry Pi 4B models). Our results highlight several trade-offs that must be taken into account when considering real-world workloads.
