论文标题
量子：定量用户友好的自适应网络事物抽象模拟器
QUANTAS: Quantitative User-friendly Adaptable Networked Things Abstract Simulator
论文作者
论文摘要
我们提出Quantas：一个模拟器，可实现分布式算法的定量性能分析。它具有许多吸引人的功能。 Quantas是一种抽象模拟器，因此，所获得的结果不受特定网络或操作系统体系结构的细节影响。 Quantas允许分布式算法研究人员快速研究潜在的解决方案并收集有关其性能的数据。 Quantas编程相对简单，理论研究人员可以访问。为了演示量子功能，我们实施并比较了来自分布式算法的四个主要类别的两个代表性示例的行为：区块链，分布式哈希表，共识和可靠的数据链接消息传输。
We present QUANTAS: a simulator that enables quantitative performance analysis of distributed algorithms. It has a number of attractive features. QUANTAS is an abstract simulator, therefore, the obtained results are not affected by the specifics of a particular network or operating system architecture. QUANTAS allows distributed algorithms researchers to quickly investigate a potential solution and collect data about its performance. QUANTAS programming is relatively straightforward and is accessible to theoretical researchers. To demonstrate QUANTAS capabilities, we implement and compare the behavior of two representative examples from four major classes of distributed algorithms: blockchains, distributed hash tables, consensus, and reliable data link message transmission.
