具有BQT+的宽带计划的鲁棒且可扩展的测量
Robust and Extensible Measurement of Broadband Plans with BQT+
AI总结：
BQT+是一种用于测量宽带计划的框架，通过声明性状态/动作规范实现对频繁变化的ISP界面的鲁棒性和可扩展性，支持对超过100个提供商的长期监控，并应用于BEAD计划的基准线构建和可负担性评估。
摘要：
独立的街道地址级宽带数据对于评估互联网基础设施投资至关重要，例如420亿美元的宽带公平性、访问和部署（BEAD）计划。评估这些投资需要长期的宽带可用性、质量和可负担性的可见性，包括预拨款基准线和提供商所宣传计划的变化数据。虽然可以通过互联网服务提供商（ISP）的网站界面获得此类数据，但这些工作负载对系统提出了三个基本要求：对频繁的界面演变具有鲁棒性、在数百个提供商之间具有可扩展性，以及对非专家用户具有低技术开销。现有系统未能满足这三个基本要求。我们提出了BQT+，一种宽带计划测量框架，用声明性状态/动作规范取代了单体工作流。BQT+将查询意图建模为交互状态空间，形式化为一个抽象非确定有限自动机（NFA），并在运行时选择执行路径以适应替代的交互流程和本地化的界面变化。我们证明BQT+能够持续监控64个ISP，支持对超过100个ISP的查询。我们将其应用于两个政策研究：构建BEAD预拨款基准线和在四个州的124,000多个地址上基准测试宽带可负担性。
英文摘要：
Independent, street address-level broadband data is essential for evaluating Internet infrastructure investments, such as the $42B Broadband Equity, Access, and Deployment (BEAD) program. Evaluating these investments requires longitudinal visibility into broadband availability, quality, and affordability, including data on pre-disbursement baselines and changes in providers' advertised plans. While such data can be obtained through Internet Service Provider (ISP) web interfaces, these workloads impose three fundamental system requirements: robustness to frequent interface evolution, extensibility across hundreds of providers, and low technical overhead for non-expert users. Existing systems fail to meet these three essential requirements. We present BQT+, a broadband plan measurement framework that replaces monolithic workflows with declarative state/action specifications. BQT+ models querying intent as an interaction state space, formalized as an abstract nondeterministic finite automaton (NFA), and selects execution paths at runtime to accommodate alternative interaction flows and localized interface changes. We show that BQT+ sustains longitudinal monitoring of 64 ISPs, supporting querying for over 100 ISPs. We apply it to two policy studies: constructing a BEAD pre-disbursement baseline and benchmarking broadband affordability across over 124,000 addresses in four states.
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。
