Dr. Lu Chao

About Me

I am a distributed system engineer at Cambricon Technology. I received my doctor's degree from Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). My advisor is Prof. Zhiwei Xu. My research interests focus on Internet of Things (IoT), Edge Computing, high-performance distributed deep learning system, distributed Computing on big data and High-Performance Computing.


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Accelerating Apache Hive with MPI for Data Warehouse Systems
Lu Chao, Chundian Li, Fan Liang, Xiaoyi Lu, Zhiwei Xu
(CCF-B) Hive on DataMPI is the first attempt to propose a general design for fully supporting and accelerating data warehouse systems with MPI.
  • Functionality: Fully support all existed HiveQL queries.
  • Productivity: Minimal modification.
  • Performance: 30% performance improvement on average.
IEHouse: A Non-Intrusive Household Appliance State Recognition System
Xingzhou Zhang, Yifan Wang, Lu Chao, Chundian Li, Lang Wu, Zhiwei Xu
PowerAnalyzer: An Energy-Aware Power Monitor System Aiming at Energy-Saving
Yifan Wang, Xingzhou Zhang, Lu Chao, Lang Wu, Xiaohui Peng, Zhiwei Xu
Journal of Computer Research and Development
Web Enabled Things Computing System
Xiaohui Peng, Xingzhou Zhang, Yifan Wang, Lu Chao
Journal of Computer Research and Development
Variant Entropy Profile: A Multi-Granular Information Model for Data on Things with Order-of-Magnitude Compression Ratios
Lu Chao, Xiaohui Peng, Zhiwei Xu
(Best Student Paper of CCDM 2018). Variant Entropy Profile (变熵画像, VEP) is the order-of-magnitude information-level compressed data abstraction designed for resource constrained things devices, with the ability to restore the orininal data from the storage and the communication on the fly.
  • Functionality: Enable the storage ability for the edge computing demands.
  • Intellegence: Only thansfer the information on demand, for example, the anomalies.
  • Performance: Over 30x compression rate.
HotWoT (SEC)
EveryLite: A Lightweight Scripting Language for Micro Tasks in IoT Systems
Zhenying Li, Xiaohui Peng, Lu Chao, Zhiwei Xu
IEEE Internet of Things Journal
T-REST: An Open-Enabled Architectural Style for the Internet of Things
Zhiwei Xu, Lu Chao, Xiaohui Peng
T-REST (Things-REST) is an Things-extended version REST architectural style, to transform the current tethered IoT ecosystems into tetherless ecosystems. T-REST allows the ability for vendor and third-party developed functions to be installed on IoT devices dynamically and provides RESTful URL access.
(Top Journals of the Internet of Things).
  • Lightweight: Only with KB-level footprint, and supports resource-constrained devices.
  • Compatibility: Fully compatible with original REST elements, such as browsers and proxies.
  • Computing offloading: Can support seamless computing offloading without modifing code.
  • Evolution: Dynamic resource creation enables the evolution of functions and interfaces of IoT ecosystems.
T-REST: An Open-Enabled Architectural Style for the Internet of Things
Zhiwei Xu, Lu Chao, Xiaohui Peng
Poster of T-REST.
T-Suite: A RESTful Distributed Development and Runtime Environment on Things Devices
Xiaohui Peng, Lu Chao, Yifan Wang, Zhiwei Xu
Proceedings of the IEEE
Ecosystem of Things: Hardware, Software and Architecture
Lu Chao, Xiaohui Peng, Zhiwei Xu and Lei Zhang
(Top Journals, CCF-A) A survey focusing on hardware, software and architectures of ecosystem of things.
Journal of Computer Research and Development
Zone-Oriented Architecture: An Architectural Style for Smart Web of Everything
Zhiwei Xu, Chen Zeng, Lu Chao, Xiaohui Peng