Dynamic geospatial web services composition in peer-to-peer networks

  • Authors:
  • Xiujun Ma;Kunqing Xie;Chen Liu;Chenyu Li

  • Affiliations:
  • Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, China;Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, China;Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, China;Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, China

  • Venue:
  • ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
  • Year:
  • 2005

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Abstract

This paper presents a peer-to-peer based execution model to improve the availability and reliability of Geospatial Web Services (GWS) composition. A service community concept and a QoS model of GWS are proposed to discover the best quality GWS engines in the peer-to-peer network. The engines coordinate other participants in charge of initiating, controlling, monitoring the associated GWS execution, and adopt an alternative approach for failure recovery. The paper also presents the implementation of a peer-to-peer GWS composition system prototype based on JXTA platform.