DocumentCode
1334437
Title
Ant Colony Optimization Based Self-Organizing QoS Framework in IP Networks
Author
Kim, Young-Min ; Lee, Eun-Jung ; Park, Hong-Shik
Author_Institution
Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Volume
14
Issue
11
fYear
2010
fDate
11/1/2010 12:00:00 AM
Firstpage
1074
Lastpage
1076
Abstract
We propose an ant colony optimization based self-organizing QoS framework, referred to as AntQoS. AntQoS introduces a new concept named QoS colony which is a virtual sub colony to heuristically search a sub-optimal path for given QoS requirements in real-time. Compared with previous QoS frameworks, AntQoS provides two promising capabilities using QoS colonies: 1) self-organizing network QoS (not pre-defined class-based QoS), which autonomously reconfigures itself by promptly adapting to the changing network status, and 2) self-organizing controls, which autonomously resolve network congestion and resist network failures. Simulation results show that AntQoS guarantees diverse QoS requirements of emerging services while increasing network throughput.
Keywords
IP networks; heuristic programming; quality of service; search problems; self-organising feature maps; telecommunication network reliability; AntQoS; IP networks; ant colony optimization; network congestion; network failures; network throughput; self-organizing QoS framework; self-organizing controls; Ant colony optimization; Bandwidth; Delay; Diffserv networks; Organizing; Quality of service; Throughput; Ant colony optimization; AntQoS; QoS colony; self-organizing QoS framework; swarm intelligence;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2010.091710.101382
Filename
5585628
Link To Document