A centralised cloud services repository (CCSR) framework for optimal cloud service advertisement discovery from heterogenous web portals

Alkalbani, Asma Musabah ORCID: 0000-0001-5507-4873, Hussain, Walayat ORCID: 0000-0003-0610-4006 and Kim, Jung Yoon ORCID: 0000-0002-2396-9514 (2019) A centralised cloud services repository (CCSR) framework for optimal cloud service advertisement discovery from heterogenous web portals. IEEE Access, 7. pp. 128213-128223. ISSN 2169-3536

Abstract

A cloud service marketplace is the first point for a consumer to discovery, select and possible composition of different services. Although there are some private cloud service marketplaces, such as Microsoft Azure, that allow consumers to search service advertainment belonging to a given vendor. However, due to an increase in the number of cloud service advertisement, a consumer needs to find related services across the worldwide web (WWW). A consumer mostly uses a search engine such as Google, Bing, for the service advertisement discovery. However, these search engines are insufficient in retrieving related cloud services advertainments on time. There is a need for a framework that effectively and efficiently discovery of the related service advertisement for ordinary users. This paper addresses the issue by proposing a user-friendly harvester and a centralised cloud service repository framework. The proposed Centralised Cloud Service Repository (CCSR) framework has two modules - Harvesting as-a-Service (HaaS) and the service repository module. The HaaS module allows users to extract real-time data from the web and make it available to different file format without the need to write any code. The service repository module provides a centralised cloud service repository that enables a consumer for efficient and effective cloud service discovery. We validate and demonstrate the suitability of our framework by comparing its efficiency and feasibility with three widely used open-source harvesters. From the evaluative result, we observe that when we harvest a large number of services advertisements, the HaaS is more efficient compared with the traditional harvesting tools. Our cloud services advertisements dataset is publicly available for future research at: http://cloudmarketregistry.com/cloud-market-registry/home.html.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/43369
DOI https://doi.org/10.1109/ACCESS.2019.2939543
Official URL https://ieeexplore.ieee.org/document/8825798
Subjects Current > FOR (2020) Classification > 4601 Applied computing
Current > Division/Research > VU School of Business
Keywords centralized cloud services repository, CCSR, cloud services, user friendly, harvester, harvesting tools
Citations in Scopus 20 - View on Scopus
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