Dr. Jianfeng Zhan focuses on five related research topics:
- Cloud computing and data center computing
- Energy-efficient computing systems
- Dependability issues of large-scale computing systems
- Performance issues of data-intensive services or parallel
applications
- High performance computing
Dr. Jianfeng Zhan leads the distributed system
group at National Research Center for Intelligent Computing Systems
(
NCIC),
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. Prospective
students are welcome to join the group, please see his
FAQ(chinese) page.
Cloud
Computing / Data Center Computing
-
In Cloud, Do MTC or HTC
Service Providers Benefit from the Economics of Scale?
[pdf] Lei Wang,Jianfeng zhan,
Weisong Shi, Liang Yi, Lin Yuan
in Proceedings of 2nd Workshop on Many-Task Computing on Grids and
Supercomputers, Co-located with ACM/IEEE SC09, Portland, Oregon,
November 16, 2009.
-
Transformer: A New Paradigm
for Building Data-Parallel Programming Models.
[pdf] Peng Wang,Dan Meng, Jizhong
Han, Jianfeng Zhan, Bibo Tu, Xiaofeng Shi, Le Wan
in IEEE Micro, pp.55-64, July/August, 2010
-
Phoenix Cloud: consolidating
different computing loads on the shared cluster system for large
organization.
[pdf] Jianfeng zhan, Lei Wang, Bibo
Tu etc
The first workshop of cloud computing and its application (CCA 08), Chicago,
2008.
Energy-efficient Computing Systems.
-
PowerTracer: Tracing Requests
in Multi-tier Services to Save Cluster Power Consumption.
Yuan Lin, Jianfeng Zhan, et al
Submitted.
Dependability Issues of
Large-scale Computing Systems
-
Online Event Correlations
Analysis in Systems Logs of Large-scale Cluster Systems
Wei Zhou , Jianfeng Zhan, Dan
Meng, Zhihong Zhang,
Regular paper, 7th IFIP Internationsal Conference on Network and
Parallel Computing (NPC 2010).
-
LogMaster: Mining Event
Corrlation in Logs of Large-scale Cluster Systems. Submitted.
-
Multidimensional Analysis of
System Logs in Large-scale Cluster Systems.
[pdf]Wei Zhou, Jianfeng Zhan,Dan
Meng
DSN 08 (Fast Abstract).
-
A Proactive fault-detection
mechanism in Large-scale cluster Systems.
[pdf]Lingping Wu, Dan Meng, Wen
Gao, Jianfeng Zhan
Regular paper, IEEE International Parallel & Distributed
Processing Symposium (IPDPS 2006), Greece.
-
Easy and reliable cluster
management: the self-management experience of Fire Phoenix.
[pdf]Zhi-Hong Zhang, Dan Meng,
Jianfeng Zhan, Lei Wang, Linping Wu, Huang Wei
SMTPS workshop in conjunction with IPDPS 2006, Greece.
Service Computing: Request Tracing,
Quality of Service, and Resource Provisioning
-
Precise Request Tracing and
Performance Debugging of Multi-tier Services of Black Boxes.
[pdf]Zhihong Zhang, Jianfeng Zhan,
Yong Li, Lei Wang, Meng Dan, Bo Sang,
Regular paper, 39th Dependable System and
Network (DSN 2009).
-
Decreasing log data of
multi-tier services for effective request tracing.
[pdf]Bo Sang, Jianfeng Zhan,
Guanhua Tian
Fast Abstract, DSN 09.
-
An Integrated Adaptive
Management System for Cluster-based Web Services.
[pdf]Ying Jiang, Dan Meng, Chao
Ren, Jianfeng Zhan
IEEE International Conference on Cluster Computing (Cluster 2006),
Barcelona, Spain.
Performance Models and Performance
Debugging of Parallel Programs
-
Performance analysis and
optimization of MPI collective operations on multi-core clusters.
[pdf]Bibo Tu, Jianping Fan,
Jianfeng Zhan, Xiaofang Zhao
accepted by The Journal of Super Computing
-
Accurate Analytical Models for
Message Passing on Multi-core Clusters.
[pdf]Bibo Tu, Jianping Fan,
Jianfeng Zhan, Xiaofang Zhao
The 17th Euromicro International Conference on Parallel, Distributed,
and Network-Based Processing ( PDP 2009): 133-139
-
Similarity Analysis in
Automatic Performance Debugging of SPMD Parallel Programs.
[pdf]Xu Liu, Jianfeng Zhan, Dan
Meng etc,
Workshop on Node
Level Parallelism for Large Scale Supercomputers, Co-located with
ACM/IEEE SC08.
System Software for High Performance
Cluster/Grid Computing
-
Dual-Direction Backfilling
Algorithm for Job Scheduling.
Peng Wang, Xu Liu, Dan Meng,
Jianfeng Zhan, Bibo Tu. 2009.
In Proceedings of the 10th International Conference on High-Performance
Computing in Asia-Pacific Region (HPC Asis 09).
-
The design methodology of
Phoenix cluster system software stack.
[pdf]Jianfeng Zhan , Wang, L., Tu,
B., Wang, H.,
Zhang, Z., Jin, Y., Wen, Y., Chen, Y., Wang, P., Qiu, B., Meng, D., and
Sun, N. 2007.
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.
-
PhoenixG: A Unified Management
Framework for Industrial Information Grid.
[pdf]Jianfeng Zhan, Gengpu Liu,
Lei Wang etc
regular paper, 6th IEEE International Symposium on Cluster Computing
and the Grid (CCGrid 2006), Singapore.
-
Design Patterns of Scalable
Cluster System Software.
[pdf]Bibo Tu, Ming Zou, Jianfeng
Zhan, Lei Wang, Jianping Fan
PDCAT 2006.
-
Fire Phoenix Cluster Operating
System Kernel and its Evaluation.
[pdf]Jianfeng Zhan, Ninghui Sun
Regular paper, IEEE International Conference on Cluster Computing
(Cluster 2005 ), Boston, USA.
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