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

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

George Kousiouris, Dimosthenis Kyriazis, Theodora Varvarigou, Eduardo Oliveros, Patrick Mandic
Copyright: © 2012 |Pages: 19
ISBN13: 9781609608279|ISBN10: 1609608275|EISBN13: 9781609608286
DOI: 10.4018/978-1-60960-827-9.ch005
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MLA

Kousiouris, George, et al. "Taxonomy and State of the Art of Service Discovery Mechanisms and Their Relation to the Cloud Computing Stack." Achieving Real-Time in Distributed Computing: From Grids to Clouds, edited by Dimosthenis Kyriazis, et al., IGI Global, 2012, pp. 75-93. https://doi.org/10.4018/978-1-60960-827-9.ch005

APA

Kousiouris, G., Kyriazis, D., Varvarigou, T., Oliveros, E., & Mandic, P. (2012). Taxonomy and State of the Art of Service Discovery Mechanisms and Their Relation to the Cloud Computing Stack. In D. Kyriazis, T. Varvarigou, & K. Konstanteli (Eds.), Achieving Real-Time in Distributed Computing: From Grids to Clouds (pp. 75-93). IGI Global. https://doi.org/10.4018/978-1-60960-827-9.ch005

Chicago

Kousiouris, George, et al. "Taxonomy and State of the Art of Service Discovery Mechanisms and Their Relation to the Cloud Computing Stack." In Achieving Real-Time in Distributed Computing: From Grids to Clouds, edited by Dimosthenis Kyriazis, Theodora Varvarigou, and Kleopatra G. Konstanteli, 75-93. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-827-9.ch005

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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.

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