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iCostale: Adaptive Cost Optimization for Storage Clouds
2011 IEEE 4th International Conference on Cloud Computing
The unprecedented volume of data generated by contemporary business users and consumers has created enormous data storage and management challenges. In order to control data storage cost, many users are moving their data to online storage clouds, and applying capacity usage reducing data transformation techniques like de-duplication, compression, and transcoding. These give rise to several challenges, such as which cloud to choose, and what data transformation techniques to apply for optimizingdoi:10.1109/cloud.2011.88 dblp:conf/IEEEcloud/AgarwalaJB11 fatcat:y2myk2ut75ckzlfbffrnmompzy