Dr. Long Cheng

Grouping: 
Academic Lecturing
Office: 
L2.49
Phone Number: 
+353-1-7004244
Email Address: 

long.cheng@dcu.ie

Homepage: 

https://computing.dcu.ie/~lcheng

Research Group: 
None
Associated Research Centres: 
None
Research Interests: 
Performance optimization for parallel and distributed data applications and systems
  1. high-performance big data analytics
  2. distributed systems, in-network computing
  3. cloud computing, cloud resource management
  4. process mining, blockchain-based process systems
Selected Publications: 
Long Cheng, Boudewijn van Dongen, Wil van der Aalst. Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment. IEEE Transactions on Services Computing, 2019 (in press).
 
Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang. Load-balancing Distributed Outer Joins through Operator Decomposition. Journal of Parallel and Distributed Computing, 132: 21-35, 2019.
 
Ying Wang, Huawei Li, Long Cheng, Xiaowei Li. A QoS-QoR Aware CNN Accelerator Design Approach. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018. (in press)
 
Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou. FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. ICPP’19: Proc. 48th International Conference on Parallel Processing, pp. 87:1-87:10, Kyoto, Japan, Aug 2019.
 
Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien. Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGrid’19: Proc. 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 600-603, Larnaca, Cyprus, May 2019.
 
Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando Kuipers, Johan Lukkien. CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. WCNC’19: Proc. 2019 IEEE Wireless Communications and Networking Conference, Morocco, April 2019.
 
Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos. Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. Euro-Par’18: Proc. 24th European Conference on Parallel Processing, pp. 293-305, Turin, Italy, Aug 2018.
 
Long Cheng, Ying Wang, Yulong Pei, Dick Epema. A Coflow-based Co-optimization Framework for High-performance Data Analytics. ICPP’17: Proc. 46th International Conference on Parallel Processing, pp. 392-401, Bristol, UK, Aug 2017.