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Titlebook: Benchmarking, Measuring, and Optimizing; First BenchCouncil I Chen Zheng,Jianfeng Zhan Conference proceedings 2019 Springer Nature Switzerl

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41#
發(fā)表于 2025-3-28 16:16:28 | 只看該作者
Papillomaviruses in Human Cancersto scientists to just focus on high-level experimental design. On this basis, the paper also uses scientific data as a driving force, incorporating a mechanism of intelligently recommending algorithms into the workflow to reduce the workload of scientific experiments and provide decision support for
42#
發(fā)表于 2025-3-28 21:02:35 | 只看該作者
Paula G. O’Connor,David T. Scadden of fairness, we chose widely acceptable throughput and response time as metrics. Through the above we have established a set of benchmark applicable to high-end manufacturing with high credibility. Overall, experiment results show that Neo4j (representing graph database) performs better than Oracle
43#
發(fā)表于 2025-3-29 02:42:16 | 只看該作者
DCMIX: Generating Mixed Workloads for the Cloud Data Center
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發(fā)表于 2025-3-29 07:01:44 | 只看該作者
45#
發(fā)表于 2025-3-29 10:43:20 | 只看該作者
Machine-Learning Based Spark and Hadoop Workload Classification Using Container Performance Patterns response-time. Based on these observations, we built a machine-learning-based workload classifier with a workload classification accuracy of 83% and a workload change detection accuracy of 74%. Our observed experimental results are an important step towards developing automatically tuned, fully aut
46#
發(fā)表于 2025-3-29 14:03:48 | 只看該作者
Benchmarking for Transaction Processing Database Systems in Big Data Erassing requirements of new applications, we see an explosion of designing innovative scalable databases or new processing architecture on traditional databases dealing with high intensive transaction workloads, which are called SecKill and can saturate the traditional database systems by high workloa
47#
發(fā)表于 2025-3-29 16:23:35 | 只看該作者
48#
發(fā)表于 2025-3-29 21:44:39 | 只看該作者
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發(fā)表于 2025-3-29 23:56:52 | 只看該作者
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發(fā)表于 2025-3-30 06:48:04 | 只看該作者
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