QoS-Aware Service Selection for Multimedia Transcoding

QoS guarantee is crucial for delivering real time multimedia over any type of network. This paper proposes QoS-aware multimedia service selection in a heterogeneous network environment. The QoS aware service selection is based on the nature-inspired routing algorithm AntNet. The performance evaluation for this selection algorithm is conducted on the multimedia content transcoding system. This paper presents and evaluates a real implementation of an ant-inspired selection algorithm in the university network environment for choosing a multimedia transcoding service. From the test results, it is observed that an ant-inspired service selection algorithm outperforms the traditional shortest path selection algorithm in terms of transcoding delay.

[1]  Zhang Subing,et al.  A QoS routing algorithm based on ant algorithm , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[2]  Tianzhen Wang,et al.  A new approach of color quantization based on ant colony clustering algorithm , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[3]  Junliang Chen,et al.  An Improved Genetic Algorithm for Web Services Selection , 2007, DAIS.

[4]  M. Shamim Hossain,et al.  Proxy-Based Visual Content Repurposing Using Selection Algorithm , 2007, Sixth International Conference on Networking (ICN'07).

[5]  Kazumasa Oida,et al.  ARS: an efficient agent-based routing system for QoS guarantees , 2000, Comput. Commun..

[6]  Abdelhamid Mellouk,et al.  A swarm intelligent multi-path routing for multimedia traffic over mobile ad hoc networks , 2005, Q2SWinet '05.

[7]  Usman Ali,et al.  A novel image coding algorithm using ant colony system vector quantization , 2004 .

[8]  Marco Dorigo,et al.  AntNet: Distributed Stigmergetic Control for Communications Networks , 1998, J. Artif. Intell. Res..

[9]  Abdulmotaleb El Saddik,et al.  Multimedia Content Repurposing in Heterogeneous Network Environments , 2006, 2006 International Conference on Electrical and Computer Engineering.

[10]  Li Bai,et al.  A QoS network routing algorithm using multiple pheromone tables , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

[11]  M. Shamim Hossain,et al.  Scalability Measurement of a Proxy based Personalized Multimedia Repurposing System , 2006, IMTC 2006.

[12]  Pere Vilà,et al.  A Quality of Service Routing Scheme for Packet Switched Networks based on Ant Colony Behavior , 2004 .

[13]  Zhuoqing Morley Mao,et al.  Network support for mobile multimedia using a self-adaptive distributed proxy , 2001, NOSSDAV '01.

[14]  Mario Pickavet,et al.  Implementation and evaluation of AntNet, a distributed shortest-path algorithm , 2005, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05).

[15]  Yan Gao,et al.  Optimal Web Services Selection Using Dynamic Programming , 2006, 11th IEEE Symposium on Computers and Communications (ISCC'06).

[16]  Zhenyu Liu,et al.  International Journal of Wireless and Mobile Computing (ijwmc) a Biologically Inspired Qos Routing Algorithm for Mobile Ad Hoc Networks , 2022 .

[17]  M. Shamim Hossain,et al.  Multimedia Content Repurposing , 2008, Encyclopedia of Multimedia.

[18]  Luca Maria Gambardella,et al.  Ant Algorithms for Discrete Optimization , 1999, Artificial Life.

[19]  K. Oida,et al.  An agent-based routing system for QoS guarantees , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).