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@@ -36,7 +36,7 @@ The fundemental idea of our releasing cluster data is to enable researchers & pr
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* cluster trace v2018
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* Who Limits the Resource Efficiency of My Datacenter: An Analysis of Alibaba Datacenter Traces, Jing Guo, Zihao Chang, Sa Wang, Haiyang Ding, Yihui Feng, Liang Mao, Yungang Bao, IEEE/ACM International Symposium on Quality of Service, IWQoS 2019
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*[DeepJS: Job Scheduling Based on Deep Reinforcement Learning in Cloud Data Center](https://github.com/RobertLexis/CloudSimPy/blob/master/playground/paper/F0049-4.19.pdf), by Fengcun Li and Bo Hu.
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* There is a interesting simulator released with this paper: CloudSimPy. You can check it at [CloudSimPy](https://github.com/RobertLexis/CloudSimPy)
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* There is an interesting simulator released with this paper: CloudSimPy. You can check it at [CloudSimPy](https://github.com/RobertLexis/CloudSimPy)
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* cluster trace v2017
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* LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation, Yizhou Shan, Yutong Huang, Yilun Chen, and Yiying Zhang, Purdue University. OSDI'18 (Best paper award!)
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