Honggang Zhang
Areas of Expertise
Edge computing, deep reinforcement learning, mobile computing, Internet of things, computer networking
Degrees
PhD, Computer Science, University of Massachusetts Amherst
Professional Publications & Contributions
- “A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing”, Zhi Cao, Honggang Zhang, Yu Cao, and Benyuan Liu, in the 15th IEEE International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019), December 11-13, 2019, Hong Kong, China.
- “A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads”, Hengky Susanto, Ahmed Sayed, Honggang Zhang, Benyuan Liu and Don Towsley, in the 39th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2019). Dallas, TX, July 7-10, 2019.
- “QoE-driven computation offloading for Edge Computing”, Jie Luo, Xiaoheng Deng, Honggang Zhang, Huamei Qi. Journal of Systems Architecture (JSA), Vol 97, pages 34-39, published by Elsevier, 2019.
- “Design and Evaluation of a Prediction-based Dynamic Edge Computing System”, Enlu Liu, Xiaoheng Deng, Zhi Cao, Honggang Zhang (2018). IEEE Global Communications Conference (Globecom) 2018. December 9-13, 2018. Abu Dhabi, UAE.
- “A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System”, Zhi Cao, Honggang Zhang, Benyuan Liu, Bo Sheng (2018). The 37th IEEE International Performance Computing and Communications Conference (IPCCC 2018). November 17-19th, 2018, Orlando, FL, USA.