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Ziming Zhang
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Publications
- 2016
- [j2]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu:
TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput. Parallel Comput. 57: 108-124 (2016) - 2014
- [c25]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu:
Trapped capacity: scheduling under a power cap to maximize machine-room throughput. E2SC@SC 2014: 41-50 - 2012
- [j1]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. J. Commun. 7(1): 52-61 (2012) - [c20]Ziming Zhang, Qiang Guan, Song Fu:
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. IPCCC 2012: 51-60 - [c19]Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu:
Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. NAS 2012: 207-216 - 2011
- [c18]Qiang Guan, Ziming Zhang, Song Fu:
Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. ARES 2011: 83-90 - [c17]Ziming Zhang, Song Fu:
Characterizing Power and Energy Usage in Cloud Computing Systems. CloudCom 2011: 146-153 - [c15]Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu:
Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. Euro-Par Workshops (2) 2011: 282-291 - [c14]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. ICCCN 2011: 1-6 - [c12]Ziming Zhang, Song Fu:
Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. IPCCC 2011: 1-8 - 2010
- [c8]Ziming Zhang, Song Fu:
Profiling and analysis of power consumption for virtualized systems and applications. IPCCC 2010: 329-330 - [c7]Ziming Zhang, Song Fu:
Failure prediction for autonomic management of networked computer systems with availability assurance. IPDPS Workshops 2010: 1-8
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