为知识型问答论坛设计高效调度算法，提升系统处理能力。
Optimal Scheduling in a Question-Answering Forum of Knowledge Workers
- 基于专家专长水平分配问题请求，优化资源利用。
- 理论推导出系统稳定运行的容量上限，设计可达该上限的调度策略。
- 探索专家协作可进一步提升系统容量，适合平台设计者参考。
随着用户越来越多地通过互联网寻求解答，问答论坛应运而生，由在特定领域具备专业知识的用户自愿贡献解答。本文设想未来一种由知识工作者构成的问答系统，其中专家根据其在不同领域的专业程度来响应请求。在此模型下，我们计算了系统在保持稳定前提下的最大处理能力，并设计出能实现该容量的调度机制。同时，研究了专家间协作对提升系统容量的潜在作用。
原文摘要 · Abstract (English)
As individuals turn to the Internet to find answers to questions they may have, several Question Answering (QA) forums have evolved, where users knowledgeable in certain topics can contribute their expertise to answering these requests for information. While these are currently volunteer based, we consider a future version employing knowledge workers who are experts in certain topics. In such a system, the request-answer processes forming the queuing system may utilize schedulers that assign requests in different topics to the experts in the forum, who may be able to answer them according to their expertise levels in different topics. With this model, we calculate the capacity of the system for handling the requests while keeping the system stable, and design schedulers that achieve capacity. We also investigate how collaboration between experts in answering requests can potentially increase capacity.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。