A centralised cloud services repository (CCSR) framework for optimal cloud service advertisement discovery from heterogenous web portals
Journal article
Alkalbani, Asma Musabah, Hussain, Walayat and Kim, Jung Yoon. (2019). A centralised cloud services repository (CCSR) framework for optimal cloud service advertisement discovery from heterogenous web portals. IEEE Access. 7, pp. 128213-128223. https://doi.org/10.1109/ACCESS.2019.2939543
Authors | Alkalbani, Asma Musabah, Hussain, Walayat and Kim, Jung Yoon |
---|---|
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 |
Keywords | cloud services discovery; web harvesting; service advertisements; ontology; centralized repository; heterogeneous data |
Year | 2019 |
Journal | IEEE Access |
Journal citation | 7, pp. 128213-128223 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISSN | 2169-3536 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2019.2939543 |
Scopus EID | 2-s2.0-85078044950 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 128213-128223 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 05 Sep 2019 |
Publication process dates | |
Accepted | 01 Sep 2019 |
Deposited | 18 Jul 2023 |
https://acuresearchbank.acu.edu.au/item/8z534/a-centralised-cloud-services-repository-ccsr-framework-for-optimal-cloud-service-advertisement-discovery-from-heterogenous-web-portals
Download files
Publisher's version
OA_Alkalbani_2019_A_centralised_cloud_services_repository_CCSR.pdf | |
License: CC BY 4.0 | |
File access level: Open |
40
total views53
total downloads0
views this month0
downloads this month