2014
P. Sarigiannidis; K. Aproikidis; M. Louta; P. Angelidis; T. Lagkas
Predicting multimedia traffic in wireless networks: A performance evaluation of cognitive techniques Conference
2014.
Περίληψη | BibTeX | Ετικέτες: automata, extrapolation, markov chains, prediction, wireless networks | Σύνδεσμοι:
@conference{Sarigiannidis2014341,
title = {Predicting multimedia traffic in wireless networks: A performance evaluation of cognitive techniques},
author = { P. Sarigiannidis and K. Aproikidis and M. Louta and P. Angelidis and T. Lagkas},
url = {https://www.researchgate.net/publication/267210651_Predicting_Multimedia_Traffic_in_Wireless_Networks_A_Performance_Evaluation_of_Cognitive_Techniques},
doi = {10.1109/IISA.2014.6878802},
year = {2014},
date = {2014-01-01},
journal = {IISA 2014 - 5th International Conference on Information, Intelligence, Systems and Applications},
pages = {341-346},
abstract = {Traffic engineering in networking is defined as the process that incorporates sophisticated methods in order to ensure optimization and high network performance. One of the most constructive tools employed by the traffic engineering concept is the traffic prediction. Having in mind the heterogeneous traffic patterns originated by various modern services and network platforms, the need of a robust, cognitive, and error-free prediction technique becomes even more pressing. This work focuses on the prediction concept as an autonomous, functional, and efficient process, where multiple cutting-edge methods are presented, modeled, and thoroughly assessed. To this purpose, real traffic traces have been captured, including multiple multimedia traffic flows, so as to comparatively assess widely used methods in terms of accuracy. © 2014 IEEE.},
keywords = {automata, extrapolation, markov chains, prediction, wireless networks},
pubstate = {published},
tppubtype = {conference}
}
Traffic engineering in networking is defined as the process that incorporates sophisticated methods in order to ensure optimization and high network performance. One of the most constructive tools employed by the traffic engineering concept is the traffic prediction. Having in mind the heterogeneous traffic patterns originated by various modern services and network platforms, the need of a robust, cognitive, and error-free prediction technique becomes even more pressing. This work focuses on the prediction concept as an autonomous, functional, and efficient process, where multiple cutting-edge methods are presented, modeled, and thoroughly assessed. To this purpose, real traffic traces have been captured, including multiple multimedia traffic flows, so as to comparatively assess widely used methods in terms of accuracy. © 2014 IEEE.
2011
P. Sarigiannidis; M. Louta; A. Michalas
2011.
Περίληψη | BibTeX | Ετικέτες: extrapolation, IEEE 802.16, mapping, OFDMA, Splines, WiMAX | Σύνδεσμοι:
@conference{Sarigiannidis2011139,
title = {On effectively determining the downlink-to-uplink sub-frame width ratio for mobile WiMAX networks using spline extrapolation},
author = { P. Sarigiannidis and M. Louta and A. Michalas},
url = {https://www.researchgate.net/publication/221565459_On_Effectively_Determining_the_Downlink-to-Uplink_Sub-frame_Width_Ratio_for_Mobile_WiMAX_Networks_Using_Spline_Extrapolation},
doi = {10.1109/PCI.2011.44},
year = {2011},
date = {2011-01-01},
journal = {Proceedings - 2011 Panhellenic Conference on Informatics, PCI 2011},
pages = {139-143},
abstract = {One of the most valuable design issues of the Worldwide Interoperability for Microwave Access (WiMAX) standard is its flexibility. It allows multiple downlink-to-uplink duration definitions concerning the width of the corresponding sub-frames, thus, the telecommunication companies and businesses are able to define the downlink-to-uplink width from 3:1 to 1:1 respectively to meet the traffic demands of the connected subscribers. However, the decision on defining the most appropriate ratio is not yet solved, since current efforts on developing scheduling and mapping schemes consider it as fixed. In this work, a novel adaptive mapping approach - based on cubic spline extrapolation - is proposed in order to dynamically determine the most appropriate downlink-touplink width ratio in accordance to the downlink and uplink traffic demands. The method proposed is evaluated through realistic simulation scenarios, whereas its performance is compared with static approaches maintaining a fixed ratio. The results indicate that the approach suggested succeeds noticeable improvements in terms of network service capabilities and bandwidth utilization. © 2011 IEEE.},
keywords = {extrapolation, IEEE 802.16, mapping, OFDMA, Splines, WiMAX},
pubstate = {published},
tppubtype = {conference}
}
One of the most valuable design issues of the Worldwide Interoperability for Microwave Access (WiMAX) standard is its flexibility. It allows multiple downlink-to-uplink duration definitions concerning the width of the corresponding sub-frames, thus, the telecommunication companies and businesses are able to define the downlink-to-uplink width from 3:1 to 1:1 respectively to meet the traffic demands of the connected subscribers. However, the decision on defining the most appropriate ratio is not yet solved, since current efforts on developing scheduling and mapping schemes consider it as fixed. In this work, a novel adaptive mapping approach - based on cubic spline extrapolation - is proposed in order to dynamically determine the most appropriate downlink-touplink width ratio in accordance to the downlink and uplink traffic demands. The method proposed is evaluated through realistic simulation scenarios, whereas its performance is compared with static approaches maintaining a fixed ratio. The results indicate that the approach suggested succeeds noticeable improvements in terms of network service capabilities and bandwidth utilization. © 2011 IEEE.
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