能量感知多路径TCP的设计、实现和评估

Yeon-sup Lim, Yung-chih Chen, E. Nahum, D. Towsley, R. Gibbens, E. Cecchet
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引用次数: 55

摘要

多路径TCP (MPTCP)是一种新的传输协议,它使系统能够通过多个网络接口利用可用路径。MPTCP对于通常具有多个无线接口的移动设备特别有用。然而,这些设备的功率容量有限,因此需要明智地使用这些接口。在这项工作中,我们设计、实现并评估了一种称为eMPTCP的能量感知变体,该变体旨在与标准MPTCP相比降低功耗,同时对下载延迟的影响最小。eMPTCP结合使用功率感知子流管理和延迟子流建立来实现其目标。功率感知子流管理允许eMPTCP动态选择路径,使用运行时测量和参数化的能耗模型(考虑多个接口),最大限度地提高每字节的能源效率。延迟子流的建立使eMPTCP避免了蜂窝接口中用于小传输的大量功耗。我们在Android移动设备上实现了eMPTCP,并在实验室和野外的几个场景中对其进行了评估。我们测量能耗和下载时间、变化的网络带宽、后台流量、用户移动性、客户机和服务器位置以及下载大小。我们的研究结果表明,与MPTCP相比,对于小文件下载,eMPTCP可将功耗降低高达90%,对于大文件下载,则可降低高达50%。
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Design, implementation, and evaluation of energy-aware multi-path TCP
Multi-Path TCP (MPTCP) is a new transport protocol that enables systems to exploit available paths through multiple network interfaces. MPTCP is particularly useful for mobile devices, which usually have multiple wireless interfaces. However, these devices have limited power capacity and thus judicious use of these interfaces is required. In this work, we design, implement, and evaluate an energy-aware variant called eMPTCP, which seeks to reduce power consumption compared to standard MPTCP, with minimal impact on download latency. eMPTCP uses a combination of power-aware subflow management and delayed subflow establishment to accomplish its goals. Power-aware subflow management allows eMPTCP to choose paths dynamically to maximize per-byte energy efficiency, using runtime measurements and a parameterized energy consumption model that accounts for multiple interfaces. Delayed subflow establishment lets eMPTCP avoid heavy power consumptions in cellular interfaces for small transfers. We implement eMPTCP on Android mobile devices and evaluate it across several scenarios, both in the lab and in the wild. We measure both energy consumption and download times, varying network bandwidth, background traffic, user mobility, client and server location, and download size. Our results show that eMPTCP reduces power consumption compared to MPTCP by up to 90% for small file downloads and up to 50% for large file downloads.
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