分布式边缘的分布式账本:我们到了吗?

Leo Eichhorn, Tanya Shreedhar, Aleksandr Zavodovski, Nitinder Mohan
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引用次数: 2

摘要

边缘计算得到了学术界和工业界的广泛关注。该范式旨在通过整合与客户端共存的资源来分散现有的云基础设施。研究人员还提出了由分布式账本技术(dlt)实现的完全分散的众包计算范式的解决方案。本文研究了dlt在众包资源市场上的基本原理,以支持边缘计算针对的延迟关键型应用程序的需求。我们开发了一个完全可配置的网络区块链模拟器,或星云,以仔细检查dlt的内部性能瓶颈。我们评估了两种区块链类别——基于证明的(通常用于比特币,以太坊)和混合共识,并发现dlt的启用因素-规模-也是其主要延迟贡献者。我们表明,在现实中,由于DLT操作导致的延迟开销远远超过边缘应用程序的操作需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Ledgers for Distributed Edge: Are we there yet?
Edge computing has received significant attention from both academic and industrial research circles. The paradigm aims to decentralize the existing cloud infrastructure by incorporating resources co-located alongside its client. Researchers have also proposed solutions for a fully decentralized crowdsourced compute paradigm enabled by Distributed Ledger Technologies (DLTs). This paper investigates the rationale behind DLTs over crowdsourced resource marketplaces to support the requirements of latency-critical applications targeted by edge computing. We develop a fully configurable NEtworked Blockchain emULAtor, or NEBULA, to scrutinize the internal performance bottlenecks of DLTs. We evaluate two blockchain categories - proof-based (popularly used in Bitcoin, Ethereum) and hybrid consensus and find that the enabling factor of DLTs -scale - is also its primary latency contributor. We show that, in reality, the latency overheads due to DLT operation far exceed the operational requirements of edge applications.
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