The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 17, 1996
Filed:
Sep. 08, 1994
William R Belknap, San Jose, CA (US);
Martha R Henley, Morgan Hill, CA (US);
Lorenzo Falcon, Jr, San Jose, CA (US);
Thomas E Frayne, San Jose, CA (US);
Mei-Lan Luo, San Jose, CA (US);
Ashok R Saxena, San Jose, CA (US);
IBM Corporation, San Jose, CA (US);
Abstract
A data storage system includes a mass storage unit storing a data entity, such as a digital representation of a video presentation, that is partitioned into a plurality N of temporally-ordered segments. A data buffer is bidirectionally coupled to the mass storage unit for storing up to M of the temporally-ordered segments, wherein M is less than N. The data buffer has an output for outputting stored ones of the temporally-ordered segments. The data storage system further includes a data buffer manager for scheduling transfers of individual ones of the temporally-ordered segments between the mass storage unit and the data buffer. The data buffer manager schedules the transfers in accordance with at least a predicted time that an individual one of the temporally-ordered segments will be required to be output from the data buffer. When employed with a media streamer (10) distributed data buffer management techniques are employed for selecting blocks to be retained in a buffer memory, either in a storage node (16, 17) or in a communication node (14). These techniques rely on the predictable nature of the video data stream, and thus are enabled to predict the future requirements for a given one of the data blocks.
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