报告题目:HAO智能:HI + AI + OI
报告摘要:大数据面向异构自治的多源海量数据, 旨在挖掘数据间复杂且演化的关联。 Big Data Knowledge Engineering (BigKE) Starting from the HACE theorem of big data, from the perspective of big knowledge modelin
Whether you are a system designer, developer or tester, to build a high-performance system, you need to understand the following concepts: 1. Response time is the time for the system to respond to user requests, and response time is the user’s most intuitive experience of system performance. Therefore, the performance of the system is directly expressed. 2. Concurrent users, within a certain time frame, the largest number of simultaneous online users, that is, the number of peak online users 3. System throughput refers to the number of requests processed by the system within a unit time 4. Think Time, From a business perspective, this time refers to the time interval between each request when the user performs an operation. In order to simulate this time interval during performance testing, the concept of thinking time is introduced to more realistically simulate the user’s operate. In the formula of throughput, F=VU * R / T shows that throughput F is a function of the number of VUs, the number of requests issued by each user R, and time T, and R can be calculated by time T and user thinking time TS Calculation: R = T / TS
报告题目:HAO智能:HI + AI + OI
报告摘要:大数据面向异构自治的多源海量数据, 旨在挖掘数据间复杂且演化的关联。 Big Data Knowledge Engineering (BigKE) Starting from the HACE theorem of big data, from the perspective of big knowledge modelin
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