Fangzhe [fun-jer] Chang Bell Laboratories Networking Platforms Research Department 101 Crawfords Corner Road Holmdel, New Jersey 07733-3030 Room 4F-621 fangzhe@dnrc.bell-labs.com

Research Interests

Distributed Computing, Fault Tolerance, Software Testing, Network Management, Application QoS, Context-aware Systems, Embedded Systems

I am interested in building systems and discovering simple and precise mechanisms that make these systems work (better). My current focus is on software testing techniques. The ATTEST project (Automated Testing Through Execution-Specifying Traces) looks into ways to simplify specification, validation, and reasoning of software properties, with special emphasis on analysis of semi-structured execution traces (e.g., log files).

Selected Publications

• Topology Discovery for Public IPv6 Networks,
  Daniel Waddington, Fangzhe Chang, Ramesh Viswanathan, and Bin Yao
  ACM Computer Communication Review, Vol. 33, No. 3, July 2003.

• Topology Inference in the Presence of Anonymous Routers,
  Bin Yao, Ramesh Viswanathan, Fangzhe Chang, and Daniel Waddington,
  INFOCOM 2003.

• Realizing the Transition to IPv6,
  Daniel Waddington and Fangzhe Chang,
  IEEE communications, Vol. 40, No.6, June 2002.

• A Framework for Automatic Adaptation of Tunable Distributed Applications,
  Fangzhe Chang and Vijay Karamcheti,
  Cluster Computing, Vol. 4, issue 1, May 2001.

• Automatic Configuration and Run-time Adaptation of Distributed Applications,
  Fangzhe Chang and Vijay Karamcheti,
  Ninth IEEE Intl. Symposium on High Performance Distributed Computing (HPDC), August 2000.

• User-level Resource-constrained Sandboxing,
  Fangzhe Chang, Ayal Itzkovitz, and Vijay Karamcheti,
  Fourth USENIX Windows System Symposium, August 2000.

• Exploiting Application Tunability for Efficient, Predictable Resource Management in Distributed and Parallel System,
  Fangzhe Chang, Vijay Karamcheti, and Zvi Kedem,
  Journal of Parallel and Distributed Computing, Vol. 60, No. 11, November 2000.

• Exploiting Application Tunability for Efficient, Predictable Parallel Resource Management,
  Fangzhe Chang, Vijay Karamcheti, and Zvi Kedem, 
  Thirteenth International Parallel Processing Symposium (IPPS/SPDP 1999), April 1999.

Education

• Ph.D., Department of Computer Science,
  Courant Institute of Mathematical Sciences, New York University, New York
  Advisors: Vijay Karamcheti and Zvi M. Kedem
  Dissertation Title: Automatic Adaptation of Tunable Distributed Applications.

• Master of Engineering, Institute of Software,
  Academia Sinica, Beijing, China
  Advisor: Yuqing Gu

• Bachelor of Arts, Department of Computer Science,
  Changsha Institute of Technology, Changsha, China