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

  • One US patent with HP Lab ["Managing data processing resources", US10037230B2] is granted recently!
  • I'm the TPC Member in DAAC workshop at SC 2018, IEEE ICDCS 2019, IEEE Edge 2019, We look forward to your submissions!
  • Welcome Wei to join our group!
  • I'm looking for Master students to join a project based on blockchain technology. (research assistantship available for PhD students)!

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.


  • J1. Dazhao Cheng, Yanfei Guo, Changjun Jiang and Xiaobo Zhou
    Self-tuning Batching with DVFS for Performance Improvement and Energy Efficiency in Internet Servers
    ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 10 Issue 1, 32 pages, March 2015. [ 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


  • C1. 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]
  • C2. 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]
  • C3. Dazhao Cheng, Yuan Chen, Xiaobo Zhou, Daniel Gmach and Dejan Milojicic
    Adaptive Scheduling of Parallel Jobs in Spark Streaming
    Proc. of the 36th IEEE Conference on Computer Communications (INFOCOM), 9 pages, Atlanta, May 2017 (acceptance rate 20.9%). [ PDF | BibTex]
  • C4. Dazhao Cheng, Palden Lama, Changjun Jiang, and Xiaobo Zhou
    Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment
    Proc. of the 35th IEEE International Conference on Distributed Computing Systems (ICDCS), 10 pages, Columbus, June 2015 (Acceptance rate 12.8%). [ PDF | BibTex]
  • More Publications


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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