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Video Processing in the CloudThe Split&Merge Architecture

Video Processing in the Cloud: The Split&Merge Architecture [In this chapter, we present the Split&Merge architecture, that explores on demand computing paradigms to rationalize the use of resources. The architecture generalizes the Map-Reduce paradigm, combining it to a provisioning component that dynamically launches virtual machines in private clusters or in the Cloud, and provides an efficient solution that contemplates relevant aspects of intense processing video applications.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Video Processing in the CloudThe Split&Merge Architecture

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Publisher
Springer London
Copyright
© Rafael Silva Pereira 2011
ISBN
978-1-4471-2136-7
Pages
23 –38
DOI
10.1007/978-1-4471-2137-4_4
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we present the Split&Merge architecture, that explores on demand computing paradigms to rationalize the use of resources. The architecture generalizes the Map-Reduce paradigm, combining it to a provisioning component that dynamically launches virtual machines in private clusters or in the Cloud, and provides an efficient solution that contemplates relevant aspects of intense processing video applications.]

Published: Aug 21, 2011

Keywords: Split&Merge; Map-Reduce; Video compression; Cloud computing; Service oriented architectures; Distributed computing

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