A Public Cloud Based SOA Workflow for Machine Learning Based Recommendation Algorithms

Over the past decade, the field of Cloud Computing has been the focus of intensive research. This paper proposes 'A Public Cloud based SOA Workflow for Machine Learning based Recommendation Algorithms' to build a framework that will simulate the architectural setup of a cloud environment and examine how it can leverage Apriori and sequential pattern based recommendation algorithms using R. Furthermore, we present a multi layered application encompassing its backend architecture, user interface built using the responsive web design technique and its development workflow. The proposed system was also exhaustively load tested using Apache JMeter to ensure its reliability at scale and the experimental results are presented.