Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i31/93467
Year: 2016, Volume: 9, Issue: 31, Pages: 1-5
Original Article
J. Ruby Annette1*, Aisha Banu2 and P. Subash Chandran3
1 IT Department, [email protected]
2 CSE Department, [email protected]
3 Niteo Technologies, [email protected]
*Author for correspondence
Ruby Annette
IT Department,
Email: [email protected]
Cloud services that provide a complete environment for the animators to render their files using the resources in the cloud are called Cloud Renderfarm Services. The objective of this work is to rank and compare the performance of these services using two popular Multi Criteria Decision Making (MCDM) Algorithms namely the Analytical Hierarchical Processing (AHP) and SAW (Simple Additive Weighting) methods. The performance of three real time cloud renderfarm services are ranked and compared based on five Quality of Service (QoS) attributes that are important to these services namely the Render Node Cost, File Upload Time, Availability, Elasticity and Service Response Time. The performance of these cloud renderfarm services are ranked in four different simulations by varying the weights assigned for each QoS attribute and the ranking obtained are compared. The results show that AHP and SAW assigned similar ranks to all three cloud renderfarm services for all simulations.
Keywords: AHP, Comparison of MCDM Algorithms, Cloud Renderfarm Services, Multi Criteria Decision Making, Ranking Cloud Services, SAW
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