BOLT: realizing high throughput power line communication networks

BOLT: realizing high throughput power line communication networks
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BOLT:实现高吞吐量电力线通信网络

DOI:
10.1145/2716281.2836124
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发表时间:
2015
期刊:
Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies
影响因子:
--
通讯作者:
S. Rangarajan
S. Rangarajan
中科院分区:
--
文献类型:
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作者:
A. Atya;K. Sundaresan;S. Krishnamurthy;M. Khojastepour;S. Rangarajan

文献摘要

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电力线通信(PLC)提供了一种在没有内置网络基础设施的环境中提供高带宽连接的直接方法。虽然最近的工作是了解PLC的物理和MAC层文物,其适用性和性能在多流设置没有得到很好的理解。我们首先进行了广泛的测量研究,揭示了PLC的属性,显着影响多流设置中的性能。利用所获得的理解,我们设计了BOLT,这是一个框架,采用基于学习的方法来有效地管理和编排PLC网络中的流量。BOLT是灵活的,并且与标准无关;它可以用于实现针对不同性能目标的调度算法。我们使用现成的PLC适配器在三个不同的测试平台上实现了BOLT,并展示了其有效管理流量的能力,与最先进的解决方案相比,吞吐量提高了数倍。
Power line communications (PLC) offer an immediate means of providing high bandwidth connectivity in settings where there is no in-built network infrastructure. While there is recent work on understanding physical and MAC layer artifacts of PLC, its applicability and performance in multi-flow settings is not well understood. We first undertake an extensive measurement study that sheds light on the properties of PLC that significantly affect performance in multi-flow settings. Using the understanding gained, we design BOLT, a framework that adopts a learning-based approach to effectively manage and orchestrate flows in a PLC network. BOLT is flexible and is agnostic to standards; it can be used to implement scheduling algorithms that target different performance goals. We implement BOLT on three different testbeds using off-the-shelf PLC adapters and showcase its ability to effectively manage flows, delivering several folds throughput improvement over state-of-the-art solutions.