Selective Hearing: An Approach to Distributed, Eventually Consistent Edge Computation

Christopher S. Meiklejohn, P. V. Roy
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引用次数: 10

Abstract

We present a new programming model for large-scale mobile and "Internet of Things" style distributed applications. The model consists of two layers: a language layer based on the Lasp language with a runtime layer based on epidemic broadcast. The Lasp layer provides deterministic coordination-free computation primitives based on conflict-free replicated data types (CRDTs). The epidemic broadcast layer is based on the Plumtree protocol. It provides a communication framework where clients may only have a partial view of membership and may not want to participate in or have knowledge of all active computations. We motivate the new model with a nontrivial mobile application, a distributed ad counter, and we give the model's formal semantics.
选择性听力:一种分布式,最终一致的边缘计算方法
我们提出了一种新的大规模移动和“物联网”式分布式应用程序的编程模型。该模型由两层组成:基于Lasp语言的语言层和基于疫情广播的运行时层。Lasp层基于无冲突复制数据类型(crdt)提供确定性的无协调计算原语。流行病广播层基于Plumtree协议。它提供了一个通信框架,在这个框架中,客户机可能只拥有成员关系的部分视图,并且可能不想参与或了解所有活动计算。我们用一个重要的移动应用程序,一个分布式广告计数器来激励新模型,并给出模型的形式语义。
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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