Abstract
The continuing advances in cloud computing technology, infrastructures, applications, and hybrid cloud have led to provide solutions to challenges in big data and high performance computing applications. The increasing number of cloud service providers offering cloud services with non-uniform descriptions has made it time consuming to find the best match service with the user’s requirements.
This paper is an effort to speed up the service discovery and selection of IaaS cloud services which is „best-match“ to the user requirements. Preliminary experiments provided promising results which demonstrates the viability of the approach.
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Uchibayashi, T., Apduhan, B., Shiratori, N. (2015). Towards a Cloud Ontology Clustering Mechanism to Enhance IaaS Service Discovery and Selection. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9155. Springer, Cham. https://doi.org/10.1007/978-3-319-21404-7_40
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DOI: https://doi.org/10.1007/978-3-319-21404-7_40
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