Abstract
The increasing demand for cloud computing has led cloud service providers (CSPs) to offer a variety of services to consumers with different attributes. Currently, cloud consumers are facing problems as they have abundant options for cloud services which may deliver similar functionalities. Moreover, discovering the best and most suitable service which meets the user requirements such as speed, cost, performance, and security is a crucial concern. In order to understand and solve this problem, a novel approach is required which can search and retrieve most suitable services as per the user’s necessities. In this paper an ontology-based cloud service discovery system is presented which can help increase the precision of cloud service discovery actually. The main goal is to categorize the cloud services along with its individualities and store them as objects using ontology. Attributes like cost, security, and SLA (service-level agreements), and so on are defined for these objects. A crawler retrieves and categorizes cloud services and stores them into ontology directory. Once the services are stored in ontology directory, this directory can be utilized for query processing, which processes the query posed by the user and ranks the obtained services based on the concerned attributes. The expected outcome of the posed query will be much accurate and appropriate according to the proposed discovery system.
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Khatri, A., Rishi, O.P. (2021). Augmenting Cloud Service Discovery Using Ontology. In: Rathore, V.S., Dey, N., Piuri, V., Babo, R., Polkowski, Z., Tavares, J.M.R.S. (eds) Rising Threats in Expert Applications and Solutions. Advances in Intelligent Systems and Computing, vol 1187. Springer, Singapore. https://doi.org/10.1007/978-981-15-6014-9_23
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DOI: https://doi.org/10.1007/978-981-15-6014-9_23
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