Achlys：基于Lasp on GRiSP的无线IoT边缘网络分布式存储和通用计算应用框架
Achlys : Towards a framework for distributed storage and generic computing applications for wireless IoT edge networks with Lasp on GRiSP
摘要：
物联网（IoT）在过去几年中得到了广泛的关注。主要的讨论是如何处理它生成的大量数据，这导致了边缘计算范式。无论它被称为雾1，边缘或薄雾，原则仍然是云服务必须变得更接近客户端。本文档介绍了未来边缘系统的持续工作，这些系统旨在通过将存储和处理能力更接近网络的外围部分，为用户提供稳定的物联网服务。随着物联网设备数量的不断增长，设计这样的基础设施变得越来越具有挑战性。生产级部署必须满足非常高的性能要求，端到端解决方案涉及大量投资。在本文中，我们的目标是提供一个解决方案，以扩大范围的边缘模型的网络中最远的节点。具体来说，我们专注于在无线物联网传感器节点上立即提供可靠的存储和计算能力。这种扩展的边缘模型将允许最终用户管理其物联网生态系统，而无需强制依赖网关或互联网提供商解决方案。在本文档中，我们将介绍Achlys，它是边缘节点的原型实现，是GRiSP Erlang嵌入式系统上Lasp编程库的具体端口。通过这种方式，我们的目标是满足对通用边缘的需求，该边缘在存储和网络方面具有弹性和一致性。最后，我们研究的例子用例，可以利用集成的Achlys框架，并讨论未来的工作，后者。
英文摘要：
Internet of Things (IoT) has gained substantial attention over the past years. And the main discussion has been how to process the amount of data that it generates which has lead to the edge computing paradigm. Wether it is called fog1, edge or mist, the principle remains that cloud services must become available closer to clients. This documents presents ongoing work on future edge systems that are built to provide steadfast IoT services to users by bringing storage and processing power closer to peripheral parts of networks. Designing such infrastructures is becoming much more challenging as the number of IoT devices keeps growing. Production grade deployments have to meet very high performance requirements, and end-to-end solutions involve significant investments. In this paper, we aim at providing a solution to extend the range of the edge model to the very farthest nodes in the network. Specifically, we focus on providing reliable storage and computation capabilities immediately on wireless IoT sensor nodes. This extended edge model will allow end users to manage their IoT ecosystem without forcibly relying on gateways or Internet provider solutions. In this document, we introduce Achlys, a prototype implementation of an edge node that is a concrete port of the Lasp programming library on the GRiSP Erlang embedded system. This way, we aim at addressing the need for a general purpose edge that is both resilient and consistent in terms of storage and network. Finally, we study example use cases that could take advantage of integrating the Achlys framework and discuss future work for the latter.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
