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Lu Chao

About Me

I am a PhD candidate at Intellegent Processor Research Center, 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, Machine Learning, Distributed Computing on big data and High-Performance Computing.

Contact

Personal Email
me◎chao.lu
Academic Email
chaolu◎ict.ac.cn
Address
Intellegent Processor Research Center,
Kexueyuan South Road #6,
Haidian,Beijing 100190,
P. R. China

Experiences

Publications

ICDCS
2015
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.
UIC
2017
IEHouse: A Non-Intrusive Household Appliance State Recognition System
Xingzhou Zhang, Yifan Wang, Lu Chao, Chundian Li, Lang Wu, Zhiwei Xu
IGSC
2017
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
2018(3)
Web Enabled Things Computing System
Xiaohui Peng, Xingzhou Zhang, Yifan Wang, Lu Chao
Journal of Computer Research and Development
2018(8)
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)
2018
EveryLite: A Lightweight Scripting Language for Micro Tasks in IoT Systems
Zhenying Li, Xiaohui Peng, Lu Chao, Zhiwei Xu
IEEE Internet of Things Journal
2018
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.
SATIS
2018
T-REST: An Open-Enabled Architectural Style for the Internet of Things
Zhiwei Xu, Lu Chao, Xiaohui Peng
Poster of T-REST.
UIC
2018
T-Suite: A RESTful Distributed Development and Runtime Environment on Things Devices
Xiaohui Peng, Lu Chao, Yifan Wang, Zhiwei Xu
Proceedings of the IEEE
2019
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
2018(8)
Zone-Oriented Architecture: An Architectural Style for Smart Web of Everything
Zhiwei Xu, Chen Zeng, Lu Chao, Xiaohui Peng