  In the 3D studios the animation scene files undergo a process called as
rendering, where the 3D wire frame models are converted into 3D photorealistic
images. As the rendering process is both a computationally intensive and a time
consuming task, the cloud services based rendering in cloud render farms is
gaining popularity among the animators. Though cloud render farms offer many
benefits, the animators hesitate to move from their traditional offline
rendering to cloud services based render farms as they lack the knowledge,
expertise and the time to compare the render farm service providers based on
the Quality of Service (QoS) offered by them, negotiate the QoS and monitor
whether the agreed upon QoS is actually offered by the renderfarm service
providers. In this paper we propose a Cloud Service Broker (CSB) framework
called the RenderSelect that helps in the dynamic ranking, selection,
negotiation and monitoring of the cloud based render farm services. The cloud
services based renderfarms are ranked and selected services based on multi
criteria QoS requirements. Analytical Hierarchical Process (AHP), the popular
Multi Criteria Decision Making (MCDM) method is used for ranking and selecting
the cloud services based renderfarms. The AHP method of ranking is illustrated
in detail with an example. It could be verified that AHP method ranks the cloud
services effectively with less time and complexity.
