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US Patent 10397621 Method for high performance on-demand video transcoding

Patent 10397621 was granted and assigned to University of Louisiana at Lafayette on August, 2019 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
University of Louisiana at Lafayette
University of Louisiana at Lafayette
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Current Assignee
University of Louisiana at Lafayette
University of Louisiana at Lafayette
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103976210
Patent Inventor Names
Xiangbo Li0
Magdy A. Bayoumi0
Mohsen Amini Salehi0
Date of Patent
August 27, 2019
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Patent Application Number
161350680
Date Filed
September 19, 2018
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Patent Primary Examiner
‌
Hsiungfei Peng
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Patent abstract

Video streams, either in form of on-demand streaming or live streaming, usually have to be transcoded based on the characteristics of clients' devices. Transcoding is a computationally expensive and time-consuming operation; therefore, streaming service providers currently store numerous transcoded versions of the same video to serve different types of client devices. Due to the expense of maintaining and upgrading storage and computing infrastructures, many streaming service providers recently are becoming reliant on cloud services. However, the challenge in utilizing cloud services for video transcoding is how to deploy cloud resources in a cost-efficient manner without any major impact on the quality of video streams. To address this challenge, in this paper, the Cloud-based Video Streaming Service (CVSS) architecture is disclosed to transcode video streams in an on-demand manner. The architecture provides a platform for streaming service providers to utilize cloud resources in a cost-efficient manner and with respect to the Quality of Service (QoS) demands of video streams. In particular, the architecture includes a QoS-aware scheduling method to efficiently map video streams to cloud resources, and a cost-aware dynamic (i.e., elastic) resource provisioning policy that adapts the resource acquisition with respect to the video streaming QoS demands. Simulation results based on realistic cloud traces and with various workload conditions, demonstrate that the CVSS architecture can satisfy video streaming QoS demands and reduces the incurred cost of stream providers up to 70%.

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