Dr. Jianfeng Zhan focuses on the following related research topics:
- Cloud computing and Data center computing.
- Benchmarks for Data Center Computing/ Interdisciplinary Research
Work, e.g., Computational Finance.
- Energy-efficient Computing Systems.
- Dependability Issues of Large-scale Computing Systems.
- Performance Issues of Data-intensive Services or Parallel
- High Performance Computing/ Mobile Parallel Computing.
Dr. Jianfeng Zhan leads the distributed system
group at National Research Center for Intelligent Computing Systems
Institute of Computing Technology, Chinese Academy of Sciences.
He received research supports from a variety of governmental and
industrial organizations, such as National Science Foundation of China,
Ministry of Scientific and Technology of China and so on.
System Software for Data
Accepted by IEEE Transaction on Parallel and Distributed Systems (TPDS). March, 2011.
In Cloud, Can Scientific Communities
from the Economics of Scale? [pdf].
Journal of Parallel and Distributed Computing (JPDC). Volume 71, Issue 7, July 2011, Pages 925-937.
Automatic Performance Debugging of
SPMD-style Parallel Programs.[pdf], AutoAnalyzer
in Proceedings of 2nd Workshop on Many-Task Computing on Grids and
Supercomputers, Co-located with ACM/IEEE SC09, Portland, Oregon,
November 16, 2009.
In Cloud, Do MTC or HTC
Service Providers Benefit from the Economics of Scale? [pdf]
in IEEE Micro, pp.55-64, July/August, 2010
Transformer: A New Paradigm
for Building Data-Parallel Programming Models. [pdf]
The first workshop of cloud computing and its application (CCA 08), Chicago,
Phoenix Cloud: consolidating
different computing loads on the shared cluster system for large
Benchmarks for Data
Center Computing/ Interdisciplinary Research Work, e.g., Computational
Finance, Data Mining
PowerTracer: Tracing Requests
in Multi-tier Services to Diagnose Energy Inefficiency. [pdf].
Dependability, and Quality of
Large-scale Computing Systems
IEEE International Conference on Cluster Computing (Cluster 2006),
An Integrated Adaptive
Management System for Cluster-based Web Services.[pdf]
Performance Models and
Debugging of Parallel Programs
accepted by The Journal of Super Computing
Performance analysis and
optimization of MPI collective operations on multi-core clusters.[pdf]
The 17th Euromicro International Conference on Parallel, Distributed,
and Network-Based Processing ( PDP 2009): 133-139
Accurate Analytical Models for
Message Passing on Multi-core Clusters.[pdf]
Workshop on Node
Level Parallelism for Large Scale Supercomputers, Co-located with
Similarity Analysis in
Automatic Performance Debugging of SPMD Parallel Programs.[pdf]
System Software for High
Cluster/Grid Computing or Mobile Parallel Computing
In Proceedings of the 2007 Asian Technology information Program's
(Atip's) 3rd Workshop on High Performance Computing in China: Solution
Approaches To Impediments For High Performance Computing (Reno, Nevada,
November 11 - 11, 2007).
CHINA HPC '07. ACM, New York, NY, 174-182.
The design methodology of
Phoenix cluster system software stack. [pdf]
regular paper, 6th IEEE International Symposium on Cluster Computing
and the Grid (CCGrid 2006), Singapore.
PhoenixG: A Unified Management
Framework for Industrial Information Grid. [pdf]
Design Patterns of Scalable
Cluster System Software. [pdf]
Regular paper, IEEE International Conference on Cluster Computing
(Cluster 2005 ), Boston, USA.
Fire Phoenix Cluster Operating
System Kernel and its Evaluation. [pdf]
Open Source Projects
- Source code of two request tracing
tools for multi-tier services of black-box: PreciseTracer and WAP5. The source code. The user manual.
- UltraSim: an emulated system for Cloud
- AutoAnalyzer: an automatic
performance debugging tool for SPDM-style parallel programs, including
MapReduce systems. The source code.
- 2011, PC Member of NPC 2011, CSE 2011, GCC 2011, Cloud2011, External Reviewer of ICDCS 2011
- 2012, PC Member of AINA 2012 ( The 26th IEEE International
Conference on Advanced Information Networking and Applications, Tokyo,
Japan, March 26-29, 2012.)