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Cloud services that provide a complete environment for the animators torender their files using the resources in the cloud are called Cloud RenderfarmServices. The objective of this work is to rank and compare the performance ofthese services using two popular Multi Criteria Decision Making (MCDM)Algorithms namely the Analytical Hierarchical Processing (AHP) and SAW (SimpleAdditive Weighting) methods. The performance of three real time cloudrenderfarm services are ranked and compared based on five Quality of Service(QoS) attributes that are important to these services namely the Render NodeCost, File Upload Time, Availability, Elasticity and Service Response Time. Theperformance of these cloud renderfarm services are ranked in four differentsimulations by varying the weights assigned for each QoS attribute and theranking obtained are compared. The results show that AHP and SAW assignedsimilar ranks to all three cloud renderfarm services for all simulations.

Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services