Deadline-constrained media uploading systems |
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Authors: | Mu Zhang Johnny Wong Wallapak Tavanapong JungHwan Oh Piet de Groen |
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Affiliation: | (1) Department of Computer Science, Iowa State University, Ames, IA 50011-1040, USA;(2) Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA;(3) Division of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, MN 55905, USA |
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Abstract: | This paper presents the design, implementation, and performance evaluation of a novel file uploading system. The system automatically
uploads multimedia files to a centralized server given a client machine’s hard deadline—the time when a client machine will
exhaust its available storage space due to on-going recording of media files. If existing files have not been uploaded and
removed from the client machine’s hard disk by the deadlines, existing files may be overwritten or new files may not get created.
Our uploading system was designed to provide a practical solution for emerging business needs. For instance, our system can
be used in medical practice to gather videos generated from medical devices located in various procedure rooms for post-procedure
analysis, and in law enforcement to collect video recordings from police cars during routine patrolling. Here we investigate
two upload scheduling algorithms that determine which client machine should upload its file(s) first. We introduce two emergency
control algorithms to handle situations when a client machine is about to exhaust its hard disk space. We evaluate the proposed
algorithms via simulations and analysis. Our performance studies show that the upload scheduling algorithms and the emergency
control algorithms have a significant impact on overall system performance.
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Keywords: | File upload Hard real-time systems Emergency control for storage overflow Scheduling algorithms |
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