Dazhao Cheng
Office: Woodward Hall 435G, Charlotte, NC 28223
Phone: (704) 687-8381
Email: dazhao.cheng AT uncc.edu
I'm an assistant professor in the CS department at UNCC. I received my Ph.D. from University of Colorado, Colorado Springs in 2016. My research interests are in the broad areas of Big Data and AI Platforms, Cloud Computing, Sustainable Datacenter, Distributed Systems and Parallel Computing. I'm particularly interested in analyzing, managing, and prototyping large-scale data intensive systems with a focus on easier application management, better QoS, higher energy efficiency, and more predictable performance.

What's New

  • Congrats to our papers have been accepted by IEEE Cluster 2020 and Middleware 2020!
  • Awarded NSF Grant for research on Serverless Computing (Solo PI), thank NSF!
  • Congrats to Donglin's paper has been accepted by ACM HPDC 2020!
  • Congrats to Donglin for getting Summer Internship at ByteDance Lab!
  • Welcome to the ABC Lab@UNCC Website !
  • Awarded NSF Grant for research on In-memory Computing (Lead PI), thank NSF!

Future Students

I'm always looking for self-motivated students who are interested in exploring the design, implementation, evaluation, and application of various distributed computing systems. Feel free to browse through my publications and let me know if anything interests you. As a junior faculty member, I'm more than happy to pass my hands-on experience to you and help you grow and succeed, as long as you are hardworking, responsible, determined, and have the desire to become an expert in a challenging and influential domain in the near future.


Journals

  • J1. Donglin Yang, Dazhao Cheng*, Wei Rang and Yu Wang
    Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers
    IEEE Transactions on Cloud Computing(TCC), 2019. [ PDF | BibTex]
  • J2. Dazhao Cheng, Jia Rao, Changjun Jiang and Xiaobo Zhou
    Elastic Power-aware Resource Provisioning of Heterogeneous Workloads in Self-Sustainable Datacenters
    IEEE Transactions on Computers (TC), Vol.65, No.2, 14 pages, Feb 2016. [ PDF | BibTex]
  • J3. Dazhao Cheng, Jia Rao, Yanfei Guo, Changjun Jiang and Xiaobo Zhou
    Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 14 pages, July 2016. [ PDF | BibTex]
  • J4. Yanfei Guo, Jia Rao, Dazhao Cheng, and Xiaobo Zhou
    iShuffle: Improving Hadoop Performance with Shuffle-on-Write
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 14 pages, June 2016.
  • J5. Dazhao Cheng, Xiaobo Zhou, Palden Lama, Mike Ji and Changjun Jiang
    Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 14 pages, June 2017.
  • More Publications

Conferences

  • C1. Donglin Yang and Dazhao Cheng
    Efficient GPU Memory Management for Nonlinear DNNs
    the 29th International ACM Symposium on High-Performance Parallel and Distributed Computing(HPDC), 2020. [ PDF | BibTex]
  • C2. Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao and Franck Cappello
    A Hardware-Algorithm Co-Design ofEfficient Lossy Compression for Scientific Data
    25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming(PPoPP), 2020. [ PDF | BibTex]
  • C3. Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, and Dingwen Tao
    Elastic Executor Provisioning for Iterative Workloads on Apache Spark
    IEEE International Conference on Big Data(Big Data), 10 pages, LA, Dec., 2019. [ PDF | BibTex]
  • C4. Donglin Yang, Wei Rang and Dazhao Cheng
    Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds
    Proc. of the 47th International Conference on Parallel Processing(ICPP), 10 pages, Oregon, August, 2018. [ PDF | BibTex]
  • C5. Palden Lama, Shaoqi Wang, Xiaobo Zhou and Dazhao Cheng
    Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud
    Proc. of the 32th IEEE International Parallel and Distributed Processing Symposim (IPDPS), 10 pages, Vancouver, May 2018(acceptance rate 20%). [ PDF | BibTex]
  • More Publications



Teaching


Professional Activities

  • Reviewer for IEEE Transactions on Cloud Computing (TOC)
  • Reviewer for IEEE Transactions on Parallel and Distributed Systems (TPDS)
  • Reviewer for IEEE Conference on Computer Communications (INFOCOM’14, 15 and 16)
  • Reviewer for USENIX International Conference on Autonomic Computing (ICAC’13, 14 and 15)

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