基于区块链的边缘DNS缓存的性能参数

James Choncholas, Ketan Bhardwaj, Ada Gavrilovska
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引用次数: 2

摘要

域名系统(DNS)是查找互联网服务IP地址的标准方式,它很好地服务于互联网生态系统。然而,随着边缘计算的出现,它缺乏许多理想的特性。其中包括边缘服务的精确细粒度地理定位、快速查找以及确保最终用户的记录新鲜度和缓存完整性。为了满足这些属性,我们考虑了基于区块链的解决方案,这是一种反直觉的方法,因为区块链通常与边缘的性能或延迟要求无关。尽管如此,我们认为区块链可以解决我们在DNS中发现的缺点,特别是在边缘环境中。我们发现基于区块链的解决方案是不够的,因此我们提出了GeoENS——一个基于以太坊区块链的原型,适合并由边缘启用。它通过智能合约的新颖记录组织、基于推送的记录失效和查看缓存来实现这些目标。考虑到对区块链优于DNS的怀疑,我们提供的初步结果表明,GeoENS实现了精确到±20米的细粒度地理定位目标,非缓存记录的快速查询延迟低于50毫秒,边缘规模为10分钟的缓存新鲜度(相比之下,DNS TTLs为3小时)。在建议的部署场景中,GeoENS可以忽略带宽和CPU负载开销以及合理的存储需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Performance Argument for Blockchain-based Edge DNS Caching
The Domain Name System (DNS,) a standard way of looking up IP addresses of Internet services, has served the Internet ecosystem well. However with the advent of edge computing, it falls short of many desirable properties. These include accurate fine-grained geographic localization of edge services, fast look-ups, and ensuring record freshness and cache integrity for end users. To satisfy these properties we consider blockchain-based solutions, a counter-intuitive approach as blockchain is not often associated with performance or the latency requirements of the edge. Despite this, we argue blockchain can address the shortcomings we've identified in DNS specifically in the edge context. We've found blockchain-based solutions are not sufficient as is, thus we present GeoENS - a prototype based on the Ethereum blockchain suitable for, and enabled by, the edge. It achieves these goals via novel record organization for smart contract, push-based record invalidation, and a look through cache. Given the skepticism of blockchain to out-perform DNS, we provide preliminary results which show GeoENS achieves its goals of fine-grained geo-localization accurate to ±20 meters, fast query latency for non-cached records under 50 ms, and cache freshness at edge scale of 10 minutes (vs. 3 hour DNS TTLs.) GeoENS does this with negligible bandwidth and CPU load overhead and reasonable storage requirements in the proposed deployment scenario.
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