Keqin Li received the BS degree in computer science from Tsinghua University, Beijing, in 1985 and the PhD degree in computer science from the University of Houston in 1990. He is currently a full professor of computer science in the Department of Computer Science, State University of New York, New Paltz. His research interests are mainly in the design and analysis of algorithms, parallel and distributed computing, and computer networking, with particular interests in approximation algorithms, parallel algorithms, job scheduling, task dispatching, load balancing, performance evaluation, dynamic tree embedding, scalability analysis, parallel computing using optical interconnects, optical networks, and wireless networks. He has more than 200 research publications. He is a senior member of the IEEE, the IEEE Computer Society, and the ACM.

Kenli Li received the PhD in computer science from Huazhong University of Science and Technology, China, in 2003. He was a visiting scholar at University of Illinois at Champaign and Urbana from 2004 to 2005. Now He is a professor of Computer science and Technology at Hunan University, associate director of National Supercomputing Center in Changsha. His major research includes parallel computing, Grid and Cloud computing, and DNA computer. He has published more than 70 papers in international conferences and journals, such as IEEE TC, IEEE TPDS, JPDC, ICPP, CCGrid. He is an outstanding member of CCF.

Zhuo Tang received the PhD in computer science from Huazhong University of Science and Technology, China, in 2008. He is currently an assistant professor of Computer science and Technology at Hunan University. His research interests include security model, parallel algorithms and resources scheduling for distributed computing systems, Grid and Cloud computing. He is a member of CCF.

Lingang Jiang is working towards the Master degree at the College of Information Science and Engineering, Hunan University of China. His research interests include modeling and scheduling for distributed computing systems, Parallel algorithms.