Cost Minimization for Music Uploading to a Cloudlet

Due to the rise of mainstream cloud storage adoption in the past ten years, the service reached has reached a wide audience, including the music industry. When saving a music file to a multi-cloud storage system (cloudlet), there are several tasks to be performed. At each step, there may be several clouds to select from to execute the task required. The performance of each cloud may vary in time and cost in executing each task due to differences in hardware quality or energy usage. This article will demonstrate a solution previously used to solve the Heterogeneous Assignment Problem from computer systems and apply it to this specific problem of uploading music to a cloudlet in order to find the best assignment of clouds to tasks. The algorithm minimizes the total cost under a given timing constraint in an efficient manner. Then, using programming, a computer can calculate the best solution for large problems. Experiments will show the effectiveness of the algorithm in this application.