电信公司的网络流量监控和优化：BENOCS 和 ClickHouse 案例研究
技术
- 网络安全和隐私 - 网络安全
- 传感器 - 尺寸和位移传感器
适用行业
- 建筑物
- 电信
用例
- 时间敏感网络
- 交通监控
关于客户
BENOCS 的客户是一些世界上最大的电信提供商。这些客户需要监控和分析大量流量，背后需要大量的数据库。这些客户处理的数据不是静态的，而是不断在网络空间中移动，因此需要将时间作为附加维度。 BENOCS Flow Analytics 用户需要调查特定时间范围内发生的事件，从而快速访问特定时间范围而忽略其余数据是基本要求。这些客户还在具有异步数据源的不同环境中运行，这增加了数据分析和监控过程的复杂性。
挑战
BENOCS 是一家为全球一些最大的电信提供商提供网络流量优化和监控的公司，面临着监控和分析大量数据流量的挑战。数据不是静态的，而是不断在网络空间中移动，要求公司将时间作为一个额外的维度考虑在内。 BENOCS Flow Analytics 用户需要调查特定时间范围内发生的事件，因此需要快速访问特定时间范围，同时忽略不相关的数据。该公司还必须应对以高复杂性和高速度分析网络流量的挑战，尤其是在具有异步数据馈送的不同环境中。在不同的网络设置中，BENOCS 必须统一数据源并关联传入的网络信息。
解决方案
BENOCS 选择以 ClickHouse 为核心构建架构有几个原因，主要是因为其对数据流的快速索引和模糊匹配。 ClickHouse 的 MergeTree 表设计允许对特定维度进行极快的查找，使 BENOCS 能够根据主键在几秒钟内跳过大量不相关的数据。对于 BENOCS 来说，这个维度就是时间。在 ClickHouse 管道中，基于时间的查找是安排任何作业的第一步。 ClickHouse 根据时间跳过数据的能力使得表大小几乎无关紧要，因为它可以有效地放大所需的数据。这使得单个时间范围的处理时间独立于实际表大小以及数据中的位置。 ClickHouse 还提供了一项称为 ASOF join 的功能，该功能允许 BENOCS 找到最近的匹配项，而不是使用 join 查找精确匹配项。此功能与精心选择的 WHERE 子句相结合，可以极大地加速和简化查询。
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