Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
On distributing load in cloud computing: A real application for very-large image datasets
Year:2010
Research Areas
  • Information technology and adata processing
Information
Abstract
Managing large image collections has become an important issue for information companies and institutions. We present a cloud computing service and its application for the storage and analysis of very-large images. This service has been implemented using multiple distributed and collaborative agents. For image storage and analysis, a regionoriented data structure is utilized, which allows storing and describing image regions using low-level descriptors. Different types of structural relationships between regions are also taken into account. A distinctive goal of this work is that data operations are adapted for working in a distributed mode. This allows that an input image can be divided into different sub-images that can be stored and processed separately by different agents in the system, facilitating processing very-large images in a parallel manner. A key aspect to decrease processing time for parallelized tasks is the use of an appropriate load balancer to distribute and assign tasks to agents with less workload.
International
Si
Congress
International Conference on Computational Science, ICCS 2010
960
Place
Amsterdam
Reviewers
Si
ISBN/ISSN
18770509
10.1016
Start Date
31/05/2010
End Date
01/06/2010
From page
2669
To page
2677
Procedia Computer Science
Participants
  • Autor: Alberto Anguita Sanchez (UPM)
  • Autor: Jose Crespo Del Arco (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
  • Autor: Miguel Garcia Remesal (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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