Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

QoS Evaluation Based on Fuzzy Neural Networks

Authors
Khurrum Jalil, Khurrum Hussain, Asad Ahmad, Xiaolin Gui
Corresponding Author
Khurrum Jalil
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.84How to use a DOI?
Keywords
Neural Network; Fuzzy theory; Fuzzy neural networks; QoS Evaluations.
Abstract
In order to improve the Quality of service (QoS) and the Quantity of user Experience, overlay network visualized the network application and underlay structure. An algorithm named MOO-GSON is proposed uses Multi-Objective Optimization (MOO) to construct the General Service overlay network (GSON) topology. With the MOO model, this algorithm has taken into account the reusing of nodes and links and matched the physical network. Visual topology decreases the cost of signal links and the overall network. A series of experimental simulation is designed to analyze the Algorithm performance. The results show that the algorithm has a better tradeoff in running time and performance than similar algorithms.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.84How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Khurrum Jalil
AU  - Khurrum Hussain
AU  - Asad Ahmad
AU  - Xiaolin Gui
PY  - 2016/09
DA  - 2016/09
TI  - QoS Evaluation Based on Fuzzy Neural Networks
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 454
EP  - 460
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.84
DO  - https://doi.org/10.2991/iccia-16.2016.84
ID  - Jalil2016/09
ER  -