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Cluster Computing

, Volume 22, Supplement 2, pp 3087–3094 | Cite as

Application of multivariate Gaussian model for discovery of healthcare services in cloud

  • S. BhamaEmail author
  • G. R. Karpagam
Article
  • 110 Downloads

Abstract

Cloud computing is a concept which has made computing to appear everywhere and anywhere. Recently, cloud computing is gaining research momentum due to its on-demand, multi-tenant, scalable and elastic nature. To better utilize the benefits of cloud, the commercial marketplace offers every requirement of the consumers as services. The present scenario of healthcare industry necessitates the provisioning of healthcare products and services, making it more viable to all the stakeholders. With the increasing adoption of such services on cloud, designing novel approaches for discovery and selection of service(s) has become a concern of paramount importance. The service expectations of the consumers are multiple and varied, which insists the need for appropriate reasoning of services. Hence, the multivariate Gaussian model is chosen to model the service providers for the optimal selection of services. The discovery of services is done based on the previous experience of the consumers of such services. This paper proposes an experience based reasoning system that uses the multivariate Gaussian model to significantly refine the discovery of healthcare services in the cloud.

Keywords

Healthcare Services Cloud computing Service discovery Multivariate Gaussian 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer ApplicationsPSG College of TechnologyCoimbatoreIndia
  2. 2.Department of Computer Science and EngineeringPSG College of TechnologyCoimbatoreIndia

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