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[学习笔记] Foundations of Data Systems - measurements [推广有奖]

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liuxf666 发表于 2019-3-16 11:08:28 |AI写论文

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Measurements for data system: reliability, scalability and maintainability1. Reliability: tolerating hardware and software faults, human errors
  • [NOTE] fault != failure (part vs. whole)
2. Scalability: measuring load and performance, latency, percentiles, throughput
- Load: Load can be described with a few numbers which we call load parameters. The best choice of parameters depends on the architecture of your system: it may be requests per second to a web server, the ratio of reads to writes in a database, the number of simultaneously active users in a chat room, the hit rate on a cache, or something else. Perhaps the average case is what matters for you, or perhaps your bottleneck is dominated by a small number of extreme cases.
- Performance:
-- In a batch processing system, usually care about throughput - the number of records we can process per second, or the total time it takes to run a job on a dataset of a certain size.
-- In online systems, usually care more about service’s response time - that is, the time between a client sending a request and receiving a response.

- Latency vs. Throughout

3. Maintainability: operability, simplicity and evolvablity

    • Operability: Making Life Easy for Operations
    • Simplicity: Managing Complexity
    • Evolvability: Making Change Easy


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关键词:Measurements Measurement Foundations foundation MEASUREMEN

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经管之家编辑部 在职认证  发表于 2019-3-16 11:36:27
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