Coral: Reliable and low-latency P2P convergecast for critical sensor data collection

Daniel Germanus, Abdelmajid Khelil, Johannes Schwandke, N. Suri
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引用次数: 5

Abstract

Data collection is a key ingredient for a plethora of distributed systems. Strict responsiveness, i.e., the reliable and timely data delivery is a mandatory requirement for critical applications. For a widened application focus towards large scale critical applications in heterogeneous operational environments, data dissemination infrastructures are inevitably required to provide robustness against frequent perturbations. In this work, we present Coral, a highly reliable and low latency data collection peer-to-peer protocol. Its fully decentralized design allows operation under unfavorable conditions and immediate adaptation towards such effects. Coral provides for a latency optimized and path redundant data collection along with in-network aggregation, i.e., convergecast, for applications with ultra low latency requirements that span across large geographic extents.
Coral:可靠和低延迟的P2P汇聚,用于关键传感器数据的收集
数据收集是众多分布式系统的关键组成部分。严格的响应性,即可靠和及时的数据交付是关键应用程序的强制性要求。对于异构操作环境中大规模关键应用的广泛应用,不可避免地需要数据传播基础设施提供抗频繁扰动的鲁棒性。在这项工作中,我们提出了Coral,一个高度可靠和低延迟的数据收集点对点协议。其完全分散的设计允许在不利条件下操作并立即适应这种影响。Coral提供了延迟优化和路径冗余数据收集以及网络内聚合,即convergcast,用于跨越大地理范围的超低延迟需求的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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