Paper Info
Title
Web Browser-Based Social Distributed Computing Platform Applied to Image Analysis.
Abstract
In this paper we introduce a new platform to perform image processing algorithms over big data. The main stakeholders of media analysis are the social services which manage huge volumes of multimedia data. While social service providers have already a big resources pool of connected assets through the devices of the community, they are not exploiting them for their processing needs and they usually deploy high performance systems that run batch works. Image processing requires parallelizable atomic and lightweight tasks that can benefit from a big community of thin devices executing seamless background processes while the user enjoys other social media contents. To provide such infrastructure a client-side browser solution based on JavaScript libraries has been developed. We also describe a performance model that establishes the contexts where the solution gets ahead in terms of available resources and the processing problem nature.
Year
DOI
Venue
2013
10.1109/CGC.2013.68
Cloud and Green Computing
Keywords
Field
DocType
processing need,big resources pool,social service,big community,image processing,big data,image processing algorithm,processing problem nature,computing platform applied,web browser-based social,image analysis,social service provider,social media content,java,distributed processing
World Wide Web,Social media,Computer science,Image processing,Web application,Digital image processing,Social computing,Java,Multimedia,Big data,JavaScript
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
Mikel Zorrilla1409.49
Angel Martin261.95
Iñigo Tamayo3173.82
Naiara Aginako4184.48
Igor G. Olaizola5299.23