2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC)
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Abstract

With the growing number of services in the Cloud environment, service discovery is a critical issue. A number of works study structured P2P overlay network for services discovery, which can not describe the real world. In this paper, we propose an effective service discovery approach based on field theory and contribution degree in unstructured P2P networks. The services are discovered from three dimensions which are functional dimension, QoS dimension and transactional dimension. The proposed field theory consists of capability field and interest field. The flow of request and service can be guided by the capability field and interest field respectively. During the discovery process the request is submitted to the nodes whose service is more semantic similar to the request. An active service replication based on the interest field is applied to improve the service discovery. To address the free-riding problem, a contribution degree model is presented. The experimental results show that our proposed approach is feasible and effective.
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