Cloud Render Farm Services Discovery Using NLP And Ontology Based Knowledge Graph

Cloud render farm services are the Platform-as-a-Service (PaaS) type of cloud services that provide their cloud resources and the complete platform to render the animation files [1, 2]. The animation files to be rendered are uploaded onto the Cloud render farm servers using the web interface of the service provider [3, 4]. The uploaded files are assessed by the rendering job queue manager and the render nodes are assigned for completing the rendering job. The updates on the rendering process are displayed in the render management software dashboard and the user has the privilege to monitor, stop or pause the rendering job and pay only for the rendering time for which the cloud render nodes were used. Hence, the cloud render farm services are considered to be a costeffective alternative for rendering needs in other fields like Fashion designing include Renderingfox, RenderRocket, Rebusfarm etc [5, 6]. Many of our previous work have been focussed on creating a cloud broker service [7,8,9] to aggregate the information about the cloud renderfarms to recommend the right cloud renderfarm services and that let to the realization of the significance of an ontology of cloud renderfarm services to discover and recommend the right cloud renderfarm services. Though many have worked on cloud rendering [10,11,12] and also towards developing an ontology-based service discovery engine for the generic IaaS (Infrastructureas-a-Service) like Sim KM, et al [13,14,15], no work has considered developing domain specific service discovery engine for cloud render farm services of PaaS (Platform-as-a-Service) type. This research work proposes ontology-based domain specific service discovery engine named RenderSearch for the cloud render farm services of PaaS (Platform-as-a-Service) type. The contributions of this research work include the following: i) This work proposes service discovery engine architecture for domain specific cloud render farm services.