分布式实时规则推理调度测试数据集

本项目汇交科学数据是研发过程中自己生成的分布式实时规则推理调度数据集，生成的事实数据类型有 3 对key-value值，其中包括一对时间戳属性，其余两对属性由随机函数生成。使用 Kafka 作为事实数据的发布订阅系统，事实发布器向 Kafka 注册成为生产者，按照上述取值方式随机生成事实实例，并将这些事实实例发送到Kafka。数据量19.4MB

The scientific data deposited for this project is a distributed real-time rule-based reasoning and scheduling dataset independently generated in-house during the R&D process. The generated factual data consists of 3 key-value pairs, among which one pair is a timestamp attribute, and the remaining two pairs are generated via random functions. Kafka is employed as the publish-subscribe messaging system for the factual data: the factual data publisher registers with Kafka as a producer, randomly generates factual instances following the aforementioned value generation method, and transmits these instances to Kafka. The total dataset size is 19.4 MB.