Optimization of Resource Control for Transitions in Complex Systems
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In complex systems like Large-Scale Distributed Systems (LSDSs) the optimization of resource control is an open issue.
The large number of resources and multicriteria optimization requirements make the optimization problem a complex one.
The importance of resource control increases with the need of use for industrial process and manufacturing, being a key solution for QoS assuring.
This paper presents different solutions for multiobjective decentralized control models for tasks assignment in LSDS.
The transaction in real-time complex system is modeled in simulation by tasks which will be scheduled and executed in a distributed system, so a set of specifications and requirements are known.
The paper presents a critical analysis of existing solutions and focuses on a genetic-based algorithm for optimization.
The contribution of the algorithm is the fitness function that includes multiobjective criteria for optimization in different way.
Several experimental scenarios, modeled using simulation, were considered to offer a support for analysis of near-optimal solution for resource selection.
American Psychological Association (APA)
Pop, Florin. 2012. Optimization of Resource Control for Transitions in Complex Systems. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1001782
Modern Language Association (MLA)
Pop, Florin. Optimization of Resource Control for Transitions in Complex Systems. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1001782
American Medical Association (AMA)
Pop, Florin. Optimization of Resource Control for Transitions in Complex Systems. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1001782
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001782