CB-Cloudle: A Centroid-based Cloud Service Search Engine

An increasing number of cloud services has been emerging in the recent years. Amazon, gogrid, rackspace, to name a few, are several most popular cloud service providers. Users need a tool to discover the available options and to suggest the most appropriate alternatives. CB-Cloudle, as a cloud service search engine, could satisfy such users’ need. In this work, a centroid-based search engine with the help of a k-means clustering algorithm is designed and developed as a software platform specialised in searching for cloud services, aiming to improve the search effectiveness and efficiency. The centroidbased approaches were applied to search the cloud services with instant response. The k-means clustering algorithm was introduced to discover the groups of similar cloud service entries using a new similarity matrix to calculate the defined distance between cloud service entries. The similarity matrix consists of a non-numeric similarity formula and a numeric similarity formula.