Identification as a service: large-scale cloud service discovery over the world wide web

Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, Talal H. Noor

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)

Abstract

Cloud computing is provisioned with high flexibility with regard to on demand infrastructures, platforms and software as services through the Internet. The unique characteristics of cloud services such as dynamic and diverse services offering at different levels, as well as the lack of standardized description, are becoming important challenges in efficiently discovering cloud services for customers. In this paper, we propose a cloud service search engine that has the capability to automatically identify cloud services aiming at improving the accuracy when searching cloud services in real environments. Our search engine can detect cloud services effectively from the Web sources. Furthermore, we focus on learning the cloud service features, such as similarity function, semantic ontology and cloud service components to identify the cloud services. We use a real cloud service dataset to build an identifier. Our cloud service identifier can be used to automatically determine whether a given Web source is a cloud service with high accuracy.

Original languageEnglish
Title of host publicationBigData Congress 2016
Subtitle of host publicationProceedings of the 2016 IEEE International Congress on Big Data
EditorsCalton Pu, Geoffrey Fox, Ernesto Damiani
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages485-492
Number of pages8
ISBN (Electronic)9781509026227
DOIs
Publication statusPublished - 5 Oct 2016
Externally publishedYes
Event5th IEEE International Congress on Big Data, BigData Congress 2016 - San Francisco, United States
Duration: 27 Jun 20162 Jul 2016

Other

Other5th IEEE International Congress on Big Data, BigData Congress 2016
Country/TerritoryUnited States
CitySan Francisco
Period27/06/162/07/16

Keywords

  • Cloud service
  • Search engine
  • Service discovery

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