A framework for video transcoding and management in cloud manufacturing
Jian Zhou and
Ying Zuo
International Journal of Service and Computing Oriented Manufacturing, 2016, vol. 2, issue 1, 33-49
Abstract:
Cloud-based manufacturing has been defined as CMfg. It is a system built on cloud computing technology that can integrate a large number of manufacturing resources. In a CMfg system, there are huge amounts of data and one of them is the video used to monitor manufacturing processes and learn knowledge. In cloud platform, the video data generate fast and have diverse formats, so the need for unified transcoding and management is necessary. In this article, an elastic cloud framework for fast video transcoding process and management is proposed. The core of this framework is a distributed system based on Hadoop that is designed for massive data storage and parallel computing.
Keywords: video transcoding; video management; cloud manufacturing; Hadoop; cloud computing; distributed systems; process monitoring; big data; data storage; parallel computing. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=75410 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijscom:v:2:y:2016:i:1:p:33-49
Access Statistics for this article
More articles in International Journal of Service and Computing Oriented Manufacturing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().