Taxonomy and State of the Art of Service Discovery Mechanisms and Their Relation to the Cloud Computing Stack-Reference-Cited by-同舟云学术

Taxonomy and State of the Art of Service Discovery Mechanisms and Their Relation to the Cloud Computing Stack

Published:2012 Issue: Volume: Page:1803-1821
ISSN:
Container-title:Grid and Cloud Computing
language:
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Author:

Kousiouris George¹,Kyriazis Dimosthenis¹,Varvarigou Theodora¹,Oliveros Eduardo²,Mandic Patrick³

Affiliation:

1. National Technical University of Athens, Greece

2. Telefónica Investigación y Desarrollo, Spain

3. Rechenzentrum Universität Stuttgart, Germany

Abstract

Service Discovery mechanisms are gaining interest in the last years due to the growing bulk of information available, especially to distributed computing infrastructures like Grids and Clouds. However a vast number of characteristics of these implementations exist, each one suitable for a number of purposes. The aim of this chapter is to extract a taxonomy of these characteristics found in modern Service Discovery systems and produce a categorization of existing implementations in a grouped and comparative way, based on these features. Furthermore, the mapping of these characteristics to the Cloud business model is produced, in order to assist in selecting the suitable solutions for each provider based on his/her location in the value chain or identify gaps in the existing implementations.

Publisher

IGI Global

Reference33 articles.

1. Bharathi, S., & Chervenak, A. (2007). Design of a scalable peer-to-peer Information System using the GT4 index service. In Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid'07).

2. Bonino da Silva Santos, L. O., Guizzardi, G., Silva Souza Guizzardi, R., Goncalves da Silva, E., Ferreira Pires, L., & van Sinderen, M. J. (2009). Gso: Designing a well-founded service ontology to support dynamic service discovery and composition. In Proceedings of the 2nd International Workshop on Dynamic and Declarative Business Process (DDBP 2009).

3. Burke, S., Campana, S., Delgado Peris, A., Donno, F., M´endez Lorenzo, P., Santinelli, R., & Sciab`a, A. (2007). gLite-3-UserGuide, v.1.1. CERN-LCG 2007.

4. Carrascosa, C., Giret, A., Julian, V., Rebollo, M., Argente, E., & Botti, V. (2009). Service oriented MAS: An open architecture. In Proceedings of the AAMAS 09.

5. Toward Distributed service discovery in pervasive computing environments

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