Towards Intelligent Data Protocols for the Edge

2023 IEEE International Conference on Edge Computing and Communications (EDGE) Pub Date : 2023-07-01 DOI:10.1109/EDGE60047.2023.00060

Praveen Kumar Donta, S. Dustdar

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引用次数: 2

Abstract

The computing continuum is growing because multiple devices are added daily. Edge devices play a key role in this because computation is decentralized or distributed. Edge computing is advanced by using AI/ML algorithms to become more intelligent. Besides, Edge data protocols are useful for transmitting or receiving data between devices. Since, computation efficiency is possible when the data is received at the Edge timely, and it is possible only when the data protocols are efficient, reliable and fast. Most edge data protocols are defined with static set of rules and their primary purpose is to provide standardized and reliable data communications. Edge devices need autonomous or dynamic protocols that enable interoperability, autonomous decision making, scalability, and adaptability. This paper examines the limitations of popular data protocols used in edge networks, the need for intelligent data protocols, and their implications. We also explore possible ways to simplify learning for edge devices and discuss how intelligent data protocols can mitigate challenges such as congestion, message filtering, message expiration, prioritization, and resource handling.

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面向边缘的智能数据协议

计算连续体正在增长，因为每天都会增加多个设备。边缘设备在这方面发挥着关键作用，因为计算是分散的或分布式的。边缘计算通过使用AI/ML算法来变得更加智能。此外，边缘数据协议对于在设备之间传输或接收数据很有用。因为，计算效率只有在边缘及时接收到数据时才有可能实现，只有在数据协议高效、可靠、快速的情况下才有可能实现。大多数边缘数据协议都是用一组静态规则定义的，其主要目的是提供标准化和可靠的数据通信。边缘设备需要自主或动态协议，以实现互操作性、自主决策、可扩展性和适应性。本文研究了边缘网络中使用的流行数据协议的局限性，对智能数据协议的需求及其含义。我们还探讨了简化边缘设备学习的可能方法，并讨论了智能数据协议如何缓解拥塞、消息过滤、消息过期、优先级和资源处理等挑战。

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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来源期刊

2023 IEEE International Conference on Edge Computing and Communications (EDGE)

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