Reference Hub1
Cloud Services Publication and Discovery

Cloud Services Publication and Discovery

Yasmine M. Afify, Ibrahim F. Moawad, Nagwa. L. Badr, Mohamed F. Tolba
Copyright: © 2017 |Pages: 25
ISBN13: 9781522522294|ISBN10: 1522522298|EISBN13: 9781522522300
DOI: 10.4018/978-1-5225-2229-4.ch010
Cite Chapter Cite Chapter

MLA

Afify, Yasmine M., et al. "Cloud Services Publication and Discovery." Handbook of Research on Machine Learning Innovations and Trends, edited by Aboul Ella Hassanien and Tarek Gaber, IGI Global, 2017, pp. 204-228. https://doi.org/10.4018/978-1-5225-2229-4.ch010

APA

Afify, Y. M., Moawad, I. F., Badr, N. L., & Tolba, M. F. (2017). Cloud Services Publication and Discovery. In A. Hassanien & T. Gaber (Eds.), Handbook of Research on Machine Learning Innovations and Trends (pp. 204-228). IGI Global. https://doi.org/10.4018/978-1-5225-2229-4.ch010

Chicago

Afify, Yasmine M., et al. "Cloud Services Publication and Discovery." In Handbook of Research on Machine Learning Innovations and Trends, edited by Aboul Ella Hassanien and Tarek Gaber, 204-228. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2229-4.ch010

Export Reference

Mendeley
Favorite

Abstract

Cloud computing is an information technology delivery model accessed over the Internet. Its adoption rate is dramatically increasing. Diverse cloud service advertisements introduce more challenges to cloud users to locate and identify required service offers. These challenges highlight the need for a consistent cloud service registry to serve as a mediator between cloud providers and users. In this chapter, state-of-the-art research work related to cloud service publication and discovery is surveyed. Based on the survey findings, a set of key limitations are emphasized. Discussion of challenges and future requirements is presented. In order to contribute to cloud services publication and discovery area, a semantic-based system for unified Software-as-a-Service (SaaS) service advertisements is proposed. Its back-end foundation is the focus on business-oriented perspective of the SaaS services and semantics. Service registration template, guided registration model, and registration system are introduced. Additionally, a semantic similarity model for services metadata matchmaking is presented.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.