2014
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; K. Yiannopoulos
HYRA: An efficient hybrid reporting method for XG-PON upstream resource allocation Conference
2014.
Περίληψη | BibTeX | Ετικέτες: Dynamic bandwidth allocation, Learning automata, Passive optical networks, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis20145,
title = {HYRA: An efficient hybrid reporting method for XG-PON upstream resource allocation},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and K. Yiannopoulos},
url = {https://www.researchgate.net/publication/301390310_HYRA_An_Efficient_Hybrid_Reporting_Method_for_XG-PON_Upstream_Resource_Allocation},
doi = {10.5220/0005048200050014},
year = {2014},
date = {2014-01-01},
journal = {OPTICS 2014 - Proceedings of the 5th International Conference on Optical Communication Systems, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications},
pages = {5-14},
abstract = {The dynamic bandwidth allocation (DBA) process in the modern passive optical networks (PONs) is crucial since it greatly influences the whole network performance. Recently, the latest new generation PON (NGPON) standard, known as 10-gigabit-capable passive optical network (XG-PON), standardized by the international telecommunication union telecommunication standardization sector (ITU-T), emerges as one of the most efficient access networking framework to cope with the demanding needs of the fiber to the x (FTTX) paradigm, where x stands for home (FTTH), bulding (FTTB), or curve (FTTC). Motivated by the fact that the ITU-T specifications leave the bandwidth allocation process open for development by both industry and academia, we propose a novel DBA scheme for effectively delivering data in the upstream direction. Our idea is based on a subtle suggestion induced by the XG-PON specifications, each developed DBA method should combine both status reporting (SR) and traffic monitoring (TM) techniques. This means that a XGPON framework should be cognitive enough in order to be able either to request bandwidth reporting from the connected users or estimate users' bandwidth demands or both. In this article we cover this gap by proposing a robust learning from experience method by utilizing a powerful yet simple tool, the learning automata (LAs). By combining SR and TM methods, the proposed hybrid scheme, called hybrid reporting allocation (HYRA), is capable of taking efficient decisions on deciding when SR or TM method should be employed so as to maximize the efficacy of the bandwidth allocation process. Simulation results reveal the superiority of our scheme in terms of average packet delay offering up to 33% improvement.},
keywords = {Dynamic bandwidth allocation, Learning automata, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; M. Louta; V. Kakali
vol. 2015-January, no. January, 2014.
Περίληψη | BibTeX | Ετικέτες: Dynamic bandwidth allocation, Fairness, Learning automata, Passive optical networks, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis20147,
title = {IFAISTOS: A fair and flexible resource allocation policy for next-generation passive optical networks},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and M. Louta and V. Kakali},
url = {https://www.researchgate.net/publication/282320629_IFAISTOS_A_fair_and_flexible_resource_allocation_policy_for_next-generation_passive_optical_networks},
doi = {10.1109/ICUMT.2014.7002071},
year = {2014},
date = {2014-01-01},
journal = {International Congress on Ultra Modern Telecommunications and Control Systems and Workshops},
volume = {2015-January},
number = {January},
pages = {7-14},
abstract = {In modern, competitive, and dynamic access networks the underlying bandwidth distribution mechanism has to be capable of understanding user requirements, meeting stringent quality of service (QoS) demands, and satisfying a broad spectrum of user traffic dynamics. Undoubtedly, optical fiber is the dominant transmission medium enabling practical and cost-effective optical infrastructures in the last mile. Passive optical networks (PONs) represent one of the most promising player towards the fiber to the home (FTTH) vision allowing users to experience high quality, demanding multimedia services and applications. The 10-gigabit-capable passive optical network (XG-PON), one of the latest PON standard, incorporates a set of profound conditions a contemporary PON should ensure. Fairness provisioning constitutes one of the most critical features a PON should provide. However, ensuring fairness in an access network with numerous different users, requesting multiple traffic flows in any time, is not a straightforward task. In this work, we focus on the fairness issue by devising an adaptive, efficient, and fair dynamic bandwidth allocation (DBA) scheme called Insistent FAIr STrategy prOcesS (IFAISTOS). IFAISTOS investigates and maintains user traffic profiles. Overloaded users are carefully treated by gaining greater granting windows than other users, however bandwidth monopolization is prevented. Fairness is ensured for all users in terms of traffic load and average delay. A steering, adaptive mechanism records user traffic profiles by changing and defining bandwidth weights proportional to individual traffic needs. Extensive simulation results reveal the efficacy of the proposed DBA in terms of fairness and average packet delay. © 2014 IEEE.},
keywords = {Dynamic bandwidth allocation, Fairness, Learning automata, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
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