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Video Processing in the CloudBackground

Video Processing in the Cloud: Background [To understand how the Cloud could be important for Video processing applications, first we have identify which are the cloud computing characteristics and what are the different Cloud models or layers. It is also fundamental to know which are the available Cloud platforms, and what is possible to implement with the provided services. One of these platforms, the Amazon Web Services, provides several different services that can be combined in order to perform specific tasks, such as intensive processing and massive storage. Since we are talking about processing high volume of information, it is also relevant to analyze the paradigms that could be used in this task. The Map Reduce approach, proposed by Dean and Ghemawat, is an efficient way for processing very large datasets using a computer cluster and, more recently, cloud infrastructures.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Video Processing in the CloudBackground

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Publisher
Springer London
Copyright
© Rafael Silva Pereira 2011
ISBN
978-1-4471-2136-7
Pages
5 –12
DOI
10.1007/978-1-4471-2137-4_2
Publisher site
See Chapter on Publisher Site

Abstract

[To understand how the Cloud could be important for Video processing applications, first we have identify which are the cloud computing characteristics and what are the different Cloud models or layers. It is also fundamental to know which are the available Cloud platforms, and what is possible to implement with the provided services. One of these platforms, the Amazon Web Services, provides several different services that can be combined in order to perform specific tasks, such as intensive processing and massive storage. Since we are talking about processing high volume of information, it is also relevant to analyze the paradigms that could be used in this task. The Map Reduce approach, proposed by Dean and Ghemawat, is an efficient way for processing very large datasets using a computer cluster and, more recently, cloud infrastructures.]

Published: Aug 21, 2011

Keywords: Cloud computing paradigms; Amazon web services; Map-Reduce

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