The promise of the cloud computing paradigm is to deliver computing as a utility available to anyone having an access to the Internet. Users can request on-demand software services hosted inside clouds. For a given application, many similar services that are developed independently will be hosted in a cloud. Hence, automatically selecting an appropriate service from these available choices to fulfill a particular requirement is a challenge. This selection function could be made available as a feature of a cloud-based middleware. The prevalent cloud related service selection methods employ simple attribute-based matching which may not yield the most relevant alternatives for complex domains such as Earth Sciences. proURDS [1] is a hierarchical, proactive discovery and selection service that provides multi-level matching which is more comprehensive than the typical attribute-based matching. This paper indicates a case study from the domain of Earth Sciences in which the proURDS is used to select relevant services from the available choices thereby, reducing the complexity involved in choosing a subset of services from a large space made up of service permutations.

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Service Selection Cloud Computing Case Study Earth Science Domain