Runqun Xiong
Assistant Professor, School of Computer Science and Engineering, Southeast University

Hello! Welcome to my personal homepage. I am Runqun Xiong

An assistant professor in School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China. I received my B.S. degree in Applied Mathematics from Southeast University in 2005, and received my Ph.D. degree in Computer Science from Southeast University under the supervision of Professor Junzhou Luo in 2015. My current research interests include Parallel and Distributed Computing, Cloud Computing, Industrial Network and Massive Data Storage Management.

I worked at the European Organization for Nuclear Research (CERN) as a research associate for AMS-02 experiment from June 2011 to July 2012. Until now, I am still working for AMS-02 data processing in AMS SOC (Science Operations Center) at Southeast University. I am also involved in various national, provincial and ministry level research projects and have published papers in conferences such as International Conference on Parallel Processing (ICPP), IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), journals such as Physical Review Letters (PRL), Cluster Computing and Journal on Communications.

Research Interests
Parallel and Distributed Computing

The Parallel and Distributed Computing field research emphasizes on scalable, fault-tolerant algorithms for distributed systems, especially for the management and analysis of big data. We are also responsible for the planning, procurement, installation, and maintenance of the information and communication technology for AMS-02 SOC at SEU.

Cloud Computing and Big Data

Cloud Computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, especially in the Big Data era, there are a number of fundamental problems which must be addressed.

Industrial Network

The fourth industrial revolution has been unveiled with the rapid development of Internet of Things (IoT), Cloud Computing and Big Data. Industrial Network, as a product of in-depth integration and the novel application of Internet related technologies to industry, is the core of this revolution. We propose a breakthrough innovation in the architecture and key technologies of Industrial Network.

Massive Data Storage Management

To maximize speed, a storage infrastructure must have low-latency capabilities and the ability to rapidly scale up, in and out. The source of analytics must be close to the systems of record. Automatic policy engines and analytics-driven data management keep data in the right place. Data has to move to the fastest storage for analysis and then retreat to lower-cost storage when not in use.

Experience
2015-Now
Southeast University.
Assistant Professor

An assistant professor in School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China.

2011-2012
European Organization for Nuclear Research
Research Associate

Worked for AMS-02 data processing in AMS SOC (Science Operations Center) at CERN, CH-1211, Geneva 23, Switzerland.

Courses
Education
2006-2015
Southeast University
Ph.D. Degree of Computer Science

Thesis: Research on Replica Placement and Selection Strategies in Heterogeneous Cluster Storage System for Big Data.

2001-2005
Southeast University
Bachelor Degree of Applied Mathematics

Thesis: Design and Implementation of Online Examination System.

Publications
  • Runqun Xiong, Junzhou Luo, Aibo Song, Bo Liu and Fang Dong. QoS Preference-Aware Replica Selection Strategy Using MapReduce-Based PGA in Data Grids. The 40th International Conference on Parallel Processing (ICPP2011), page(s): 394-403.
  • Runqun Xiong, Junzhou Luo, Fang Dong. Optimizing Data Placement in Large-Scale Heterogeneous Hadoop Clusters. Cluster Computing, 2015, 18(4):1465-1480. (SCI, IF:1.510)
  • Runqun Xiong, Junzhou Luo, Aibo Song and Jiahui Jin. QoS Preference-Aware Replica Selection Strategy in Cloud Computing. Journal on Communications, 2011(7): 93-102. (In Chinese)
  • Runqun Xiong, Junzhou Luo, Fang Dong. SLDP: a Novel Data Placement Strategy for Large-Scale Heterogeneous Hadoop Cluster. The 2nd International Conference on Advanced Cloud and Big Data (CBD2014), page(s):9-17.
  • Runqun Xiong, Junzhou Luo, Aibo Song. An Effective Replica Location Algorithm Based on Routing-Forward in Data Grid. The 5th Annual ChinaGrid Conference (ChinaGrid2010), page(s):31-36.
  • Jiahui Jin, Junzhou Luo, Aibo Song, Fang Dong and Runqun Xiong. BAR: An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing. The 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2011), page(s):295-304.
  • AMS collaboration. First Result from the Alpha Magnetic Spectrometer on the International Space Station: Precision Measurement of the Positron Fraction in Primary Cosmic Rays of 0.5-350 GeV, Physical Review Letters (PRL), 110, 141102 (2013). (SCI, IF:7.943)
  • AMS collaboration. High Statistics Measurement of the Positron Fraction in Primary Cosmic Rays of 0.5-500 GeV with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 113, 121101 (2014). (SCI, IF:7.943)
  • AMS collaboration. Electron and Positron Fluxes in Primary Cosmic Rays Measured with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 113, 121102 (2014). (SCI, IF:7.943)
  • AMS collaboration. Precision Measurement of the (e- + e+) Flux in Primary Cosmic Rays from 0.5 GeV to 1 TeV with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 113, 221102 (2014). (SCI, IF:7.943)
  • AMS collaboration. Precision Measurement of the Proton Flux in Primary Cosmic Rays from Rigidity 1 GV to 1.8 TV with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 114, 171103 (2015). (SCI, IF:7.943)
  • AMS collaboration. Precision Measurement of the Helium Flux in Primary Cosmic Rays of Rigidities 1.9 GV to 3 TV with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 115, 211101 (2015). (SCI, IF:7.943)
  • AMS collaboration. Antiproton Flux, Antiproton-to-Proton Flux Ratio, and Properties of Elementary Particle Fluxes in Primary Cosmic Rays Measured with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 117, 091103 (2016). (SCI, IF:7.943)
  • AMS Collaboration. Precision Measurement of the Boron to Carbon Flux Ratio in Cosmic Rays from 1.9 GV to 2.6 TV with the Alpha Magnetic Spectrometer on the International Space Station. Physical Review Letters (PRL), 117, 231102 (2016). (SCI, IF:7.943)
Projects
2017-2019
Research on Optimization of Data Placement in Distributed Heterogeneous Cloud Data Centers
No.61602112, Amount: CNY210,000

funded by National Science Foundation of China (NSFC), Southeast University of China, PI: Dr. Runqun Xiong.

2016-2019
Optimization of Data Placement for Multiple Cloud Data Centers
No.BK20160695, Amount: CNY200,000

funded by National Science Foundation of Jiangsu Province, Southeast University of China, PI: Dr. Runqun Xiong.

2006-Now
Acknowledgement
Your attitude, not your aptitude, will determine your altitude.

My research work is also supported by NSFC under Grants No.61320106007, No.61572129, No.61502097, Jiangsu Provincial Key Laboratory of Network and Information Security under Grants No.BM2003201, Key Laboratory of Computer Network and Information Integration of Ministry of Education of China under Grants No.93K-9, and partially supported by Collaborative Innovation Center of Novel Software Technology and Industrialization.

Contact Me