Publications

Journals

1. A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications.
   Minh Nguyen, Sami Alesawi, Ning Li, Hao Che, and Hong Jiang.
   IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 9, pp. 1983-2000, Sept 2020. (TPDS’20)
   

2. Amdahl's Law for Multithreaded Multicore Processors.
   Hao Che and Minh Nguyen*.
   Journal of Parallel and Distributed Computing, vol. 74, no. 10, pp. 3056–3069, Oct 2014. (JPDC’14)
   (*: corresponding author)

3. Wimpy or Brawny Cores: A Throughput Perspective.
   Xiangyang Liang, Minh Nguyen, and Hao Che.
   Journal of Parallel and Distributed Computing, vol. 73, no. 10, pp. 1351–1361, Oct 2013. (JPDC’13)
   

Conferences/Workshops

1. User Disengagement-Oriented Target Enforcement for Multi-Tenant Database Systems.
   Ning Li, Hong Jiang, Hao Che, Zhijun Wang, Minh Nguyen, Todd Rosenkrantz.
   The 14th ACM Symposium on Cloud Computing, Oct 2023, Santa Cruz, CA. (SoCC’23)
   

2. Improving Scalability of Database Systems by Reshaping User Parallel I/O.
   Ning Li, Hong Jiang, Hao Che, Zhijun Wang, Minh Nguyen.
   The 17th European Conference on Computer Systems, April 2022, Rennes, France. (EUROSYS’22)
   (acceptance rate: 26%)

3. An Incast-Coflow-Aware Minimum-Rate-Guaranteed Congestion Control Protocol for Datacenter Applications.
   Zhijun Wang, Yunxiang Wu, Rosenkrantz Stoddard, Ning Li, Minh Nguyen, Hao Che.
   IEEE International Conference on Networking, Architecture and Storage, Oct 2021. (NAS’21)
   

4. IPSO: A Scaling Model for Data-Intensive Applications.
   Zhongwei Li, Feng Duan, Minh Nguyen, Hao Che, Jeff Lei, and Hong Jiang.
   The 39th IEEE International Conference on Distributed Computing Systems, July 2019. (ICDCS’19)
   (acceptance rate: 19.6%)

5. Tail Latency Prediction for Datacenter Applications in Consolidated Environments.
   Sami Alesawi, Minh Nguyen, Hao Che, and Akshit Singhal.
   The International Workshop on Computing, Networking, and Communication, Feb 2019. (CNC’19)

6. ForkTail: A Black-box Fork-Join Tail Latency Prediction Model for User-facing Datacenter Workloads.
   Minh Nguyen, Sami Alesawi, Ning Li, Hao Che, and Hong Jiang
   The 27th International Symposium on High-Performance Parallel and Distributed Computing, June 2018. (HPDC’18)
   (acceptance rate: 19.8%)

7. The Tail at Scale: How to Predict It?.
   Minh Nguyen, Zhongwei Li, Feng Duan, Hao Che, Yu Lei, and Hong Jiang.
   The 8th USENIX Workshop on Hot Topics in Cloud Computing, June 2016. (HotCloud’16)
   (acceptance rate: 30.9%)

8. Kernel Based Difference Detection in LC-MS Data.
   Minh Nguyen, Xiaoyong Wu, Baoju Zhang, and Jean X. Gao.
   The 5th International Conference on Bioinformatics and Computational Biology, pp. 245–250, Mar 2013. (BICOB’13)

9. A Mean Shift Clustering Based Algorithm for Multiple Alignment of LC-MS Data. (short paper)
   Minh Nguyen and Jean X. Gao.
   The 8th International Symposium on Bioinformatics Research and Applications, pp. 43–46, May 2012. (ISBRA’12)

10. A Novel Algorithm for Multi-class Cancer Diagnosis on MALDI-TOF Mass Spectra.
    Phuong Pham, Li Yu, Minh Nguyen.
    IEEE International Conference on Bioinformatics and Biomedicine, pp. 398–401, 2011. (BIBM’11)
    (acceptance rate: 19.73%)

11. Fast Cancer Classification Based on Mass Spectrometry Analysis in Robust Stationary Wavelet Domain.
    Phuong Pham, Li Yu, Minh Nguyen, Nha Nguyen.
    IT Convergence and Services, vol. 107 of Lecture Notes in Electrical Engineering, pp. 189–199, 2011. (LNEE’11)

12. Applying the Dual-Tree Complex DWT and Double Density DWT for Mass Spectrometry Feature Extraction and Classification.
    Phuong Pham, Li Yu, Minh Nguyen.
    International Conference on Bioinformatics and Biomedical Technology, pp. 394–399, 2010. (ICBBT’10)