Paper Info
Title
On distributing load in cloud computing: A real application for very-large image datasets
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 region-oriented 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. (C) 2010 Published by Elsevier Ltd.
Year
DOI
Venue
2010
10.1016/j.procs.2010.04.300
Procedia Computer Science
Keywords
Field
DocType
Cloud computing,image processing,load balancing,image region analysis,data structures,image storage,digital libraries,distributed databases,parallel processing,very-large datasets
Data mining,Data structure,Computer science,Load balancing (computing),Workload,Image processing,Digital library,Distributed database,Digital image processing,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
1
1
1877-0509
Citations 
PageRank 
References 
10
0.94
6
Authors
5
Name
Order
Citations
PageRank
Raúl Alonso-Calvo110714.64
Jose Crespo2617.60
Miguel García-Remesal312813.75
Alberto Anguita4829.29
Victor Maojo533353.22