Collaborative reliability prediction of service-oriented systems

By Zibin Zheng, Michael R. Lyu. 2010 ACM/IEEE 32nd International Conference on Software Engineering, 2010

298 citations recorded by the source corpus.

Service-oriented architecture (SOA) is becoming a major software framework for building complex distributed systems. Reliability of the service-oriented systems heavily depends on the remote Web services as well as the unpredictable Internet. Designing effective and accurate reliability prediction approaches for the service-oriented systems has become an important research issue. In this paper, we propose a collaborative reliability prediction approach, which employs the past failure data of other similar users to predict the Web service reliability for the current user, without requiring real-world Web service invocations. We also present a user-collaborative failure data sharing mechanism and a reliability composition model for the service-oriented systems. Large-scale real-world experiments are conducted and the experimental results show that our collaborative reliability prediction approach obtains better reliability prediction accuracy than other approaches.

Subfields: Computer Networks and Communications, Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/3acdce3baa47c6296e7730730c1170b56fb31133

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Yilei Zhang
  2. Zibin Zheng
  3. Michael R. Lyu
  4. Hongyu Zhang
  5. Van-Hoang Le
  6. Hao Ma

In Information Systems

  1. Zibin Zheng
  2. Yilei Zhang
  3. Michael R. Lyu
  4. Irwin King
  5. Hao Ma
  6. Charu C. Aggarwal
  7. Qiang Yang
  8. Hongyu Zhang

In Software

  1. Zibin Zheng
  2. Michael R. Lyu

Citations in the corpus