Paper Info
Title
Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems
Abstract
Modern multimedia application exhibit high resource utilization. In order to efficiently run this kind of applications in embedded systems, the dynamic memory subsystem needs to be optimized. A key role in this optimization is played by the dynamic data structures that reside in every real-life application. This paper presents a novel and automated way to optimize dynamic data structures. The search space is pruned using genetic algorithms that converge to the best multilayered data structure implementation for the targeted applications.
Year
DOI
Venue
2009
10.1016/j.jss.2008.08.032
Journal of Systems and Software
Keywords
Field
DocType
dynamic data structure,real-life application,genetic algorithm,multimedia embedded system,data structures,modern multimedia application exhibit,optimization methodology,key role,high resource utilization,multi-objective optimization,multilayered data structure implementation,pareto-front,dynamic memory,data structures dynamic memory pareto-front multi-objective optimization,targeted application,dynamic memory subsystem,embedded system,pareto front,multi objective optimization,search space,resource utilization,data structure
Dynamic random-access memory,Multimedia embedded systems,Data structure,Computer science,Multi-objective optimization,Real-time computing,Genetic algorithm,Dynamic data structures,Distributed computing
Journal
Volume
Issue
ISSN
82
4
The Journal of Systems & Software
Citations 
PageRank 
References 
9
0.63
11
Authors
10
Name
Order
Citations
PageRank
Christos Baloukas1374.98
jose l riscomartin2201.99
David Atienza32219149.60
Christophe Poucet4524.34
Lazaros Papadopoulos5298.99
Stylianos Mamagkakis614213.16
Dimitrios Soudris78218.71
J. Ignacio Hidalgo813514.86
Francky Catthoor93932423.30
Juan Lanchares1017123.30