Volume 25, Issue 13 pp. 1843-1860
Special Issue Paper

A QoS-aware service discovery method for elastic cloud computing in an unstructured peer-to-peer network

Wenmin Lin

Wenmin Lin

State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210046 China

Department of Computer Science and Technology, Nanjing University, Nanjing, 210046 China

Search for more papers by this author
Wanchun Dou

Corresponding Author

Wanchun Dou

State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210046 China

Department of Computer Science and Technology, Nanjing University, Nanjing, 210046 China

Correspondence to: Wanchun Dou, Department of Computer Science and Technology, Nanjing University, Nanjing 210046, China.

E-mail: [email protected]

Search for more papers by this author
Zhanyang Xu

Zhanyang Xu

Department of Computer Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044 China

Search for more papers by this author
Jinjun Chen

Jinjun Chen

Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia

Search for more papers by this author
First published: 19 February 2013
Citations: 12

SUMMARY

Traditionally, service discovery is often promoted by the centralized approach that typically suffers from single point of failure, poor reliability, poor scalability, to name a few. In view of this challenge, a QoS-aware service discovery method is investigated for elastic cloud computing in an unstructured peer-to-peer network in this paper. Concretely speaking, the method is deployed by two phases, that is, service registering phase and service discovery phase. More specifically, for a peer node engaged in the unstructured peer-to-peer network, it firstly registers its functional and nonfunctional information to its neighbors in a flooding way. With the multiple registered information, the QoS-aware service discovery is promoted in a probabilistic flooding way according to the network traffic. At last, extensive simulations are conducted to evaluate the feasibility of our method. Copyright © 2013 John Wiley & Sons, Ltd.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.