An approach to dynamic and elastic cloud service specification, recommendation and provision

  Along with the rapid development of expansion of the cloud computing market, not only the number of cloud applications continues growing, the complexity of their relationships also increases. Hence, what appear to users are a constantly changing service pool, where similar services are difficult to differ, better options, potential risks and limitations are hiden, etc.
Ontology based techniques and semantic annotations have achieved a great success in assisting semantic web services (WS) description, selection and management. The proposed approach works on above issues by provisioning query, evaluation and recommendation functions.

  • Dates:

    2011 to 2015

  • Qualification:

    Doctorate (PhD)

Project Team