CloudMix: Generating Diverse and Reducible Workloads for Cloud Systems
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8029867/8030554/08030626.pdf?arnumber=8030626
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
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2. RLConfig: Run-time Configuration of Cluster Schedulers via Deep Reinforcement Learning;2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2021-09
3. Trace-Based Workload Generation and Execution;Euro-Par 2021: Parallel Processing;2021
4. Compressive Sensing based Predictive Online Scheduling with Task Colocation in Cloud Data Center;INT C PAR DISTRIB SY;2020
5. DCMIX: Generating Mixed Workloads for the Cloud Data Center;Benchmarking, Measuring, and Optimizing;2019
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