2016
P. Sarigiannidis; D. Pliatsios; T. Zygiridis; N. Kantartzis
DAMA: A data mining forecasting DBA scheme for XG-PONs Conference
2016.
Abstract | BibTeX | Tags: bandwidth allocation, k-nearest neighbors, Passive optical networks, XG-PON | Links:
@conference{Sarigiannidis2016b,
title = {DAMA: A data mining forecasting DBA scheme for XG-PONs},
author = { P. Sarigiannidis and D. Pliatsios and T. Zygiridis and N. Kantartzis},
url = {https://www.researchgate.net/publication/300413104_DAMA_A_data_mining_forecasting_DBA_scheme_for_XG-PONs},
doi = {10.1109/MOCAST.2016.7495169},
year = {2016},
date = {2016-01-01},
journal = {2016 5th International Conference on Modern Circuits and Systems Technologies, MOCAST 2016},
abstract = {The latest new generation passive optical network (NG-PON) standard, known as 10-gigabit-capable passive optical network (XG-PON), enables a very promising architecture that offers 10 Gbps nominal data delivery ratio in the downstream direction. The optical line terminal (OLT) is located within the CO and constitutes the main decision-making tank of the PON. OLT applies a dynamic bandwidth allocation (DBA) scheme for coordinating the transmission opportunities, especially in the upstream direction. According to the standard, a differential fibre distance of 40 km, between ONUs and OLT, is allowed. This outspread deployment implies high propagation delays which should be taken into account of designing the bandwidth allocation. This work is focused on proposing a cognitive DBA scheme which is capable of forecasting the additional bandwidth, which arrives in ONUs, during the transmission coordination between OLT and ONUs. The k-nearest neighbors (k-NN) algorithm is applied for forecasting the additional bandwidth requests of each ONU. In addition, the adopted algorithm is enhanced with an adaptive learning-based method which efficiently selects the most appropriate k value based on the traffic dynamics. © 2016 IEEE.},
keywords = {bandwidth allocation, k-nearest neighbors, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
2015
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; M. Louta
Time synchronization in XG-PON systems: An error analysis Conference
2015.
Abstract | BibTeX | Tags: Analysis, Passive optical networks, Synchronization, XG-PON | Links:
@conference{Sarigiannidis201514,
title = {Time synchronization in XG-PON systems: An error analysis},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and M. Louta},
url = {https://www.researchgate.net/publication/300095707_Time_Synchronization_in_XG-PON_Systems_An_Error_Analysis},
doi = {10.5220/0005577600140021},
year = {2015},
date = {2015-01-01},
journal = {OPTICS 2015 - 6th International Conference on Optical Communication Systems, Proceedings, Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015},
pages = {14-21},
abstract = {Synchronization in modern optical systems is of paramount importance. The sharing of a common time between different network components constitutes a crucial factor towards system stability. Latest advancements in optical access networks, such as Passive Optical Networks (PONs), allow transmission rates of 10 Gbps. Hence, a very accurate synchronization method is required in order to keep the network free of blocking and collisions. In this work, we focus on 10-gigabit-capable passive optical network (XG-PON) systems, one of the most popular standards for PONs. A rigorous analytic approach is devised so as to investigate the required precision of underlying synchronization method. Closed equations for computing the no blocking and blocking probabilities are developed. The devised analytic framework is verified using simulation methods.},
keywords = {Analysis, Passive optical networks, Synchronization, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
2014
P. Sarigiannidis; A. Gkaliouris; V. Kakali; M. Louta; G. Papadimitriou; P. Nicopolitidis; M. Obaidat
On forecasting the ONU sleep period in XG-PON systems using exponential smoothing techniques Conference
2014.
Abstract | BibTeX | Tags: bandwidth allocation, energy efficiency, exponential smoothing, Passive optical networks, XG-PON | Links:
@conference{Sarigiannidis20142580,
title = {On forecasting the ONU sleep period in XG-PON systems using exponential smoothing techniques},
author = { P. Sarigiannidis and A. Gkaliouris and V. Kakali and M. Louta and G. Papadimitriou and P. Nicopolitidis and M. Obaidat},
url = {https://www.researchgate.net/publication/282688355_On_forecasting_the_ONU_sleep_period_in_XG-PON_systems_using_exponential_smoothing_techniques},
doi = {10.1109/GLOCOM.2014.7037196},
year = {2014},
date = {2014-01-01},
journal = {2014 IEEE Global Communications Conference, GLOBECOM 2014},
pages = {2580-2585},
abstract = {Power management has been advanced on a crucial factor in the design of modern access networks. Furthermore, the proliferation of optical networking in the last mile led major Telecom unions, such as the International Telecommunication Union (ITU), to emerge energy consumption as a critical objective of the next generation passive optical networks (NG-PONs). In particular, the standardization of the 10-gigabit-capable PON (XG-PON) entails well-defined specifications towards power management and energy reduction, especially regarding the power control of optical terminal devices such as the optical network units (ONUs). In this way, the optical line terminator (OLT) along with ONUs are able to cooperate with each other in order to succeed energy reduction, by applying doze or cyclic sleep periods to idle ONUs. However, the sleep period determination remains a quite challenging research area. In this study, we endeavor to provide XG-PON networks with an effective forecasting mechanism that is capable of estimating the time duration of the forthcoming sleep session. To this end, we apply the exponential smoothing technique to best estimate the sleep duration based on the monitoring time series observations. The obtained evaluation results sound quite promising, since the proposed model accomplishes to advance the trade-off between the energy reduction and network efficiency. © 2014 IEEE.},
keywords = {bandwidth allocation, energy efficiency, exponential smoothing, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; K. Yiannopoulos
HYRA: An efficient hybrid reporting method for XG-PON upstream resource allocation Conference
2014.
Abstract | BibTeX | Tags: Dynamic bandwidth allocation, Learning automata, Passive optical networks, XG-PON | Links:
@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; K. Yiannopoulos
Towards a fair and efficient downlink bandwidth distribution in XG-PON frameworks Conference
2014.
Abstract | BibTeX | Tags: downstream, Fairness, Passive optical networks, round trip time, Scheduling, XG-PON | Links:
@conference{Sarigiannidis201449,
title = {Towards a fair and efficient downlink bandwidth distribution in XG-PON frameworks},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and K. Yiannopoulos},
url = {https://www.researchgate.net/publication/269305724_Towards_a_fair_and_efficient_downlink_bandwidth_distribution_in_XG-PON_frameworks},
doi = {10.1109/MELCON.2014.6820505},
year = {2014},
date = {2014-01-01},
journal = {Proceedings of the Mediterranean Electrotechnical Conference - MELECON},
pages = {49-53},
abstract = {Fairness assurance in modern access networks constitutes a focal point of interest since it dramatically affects the quality of the provided services to the final users. Traffic balancing entails fair bandwidth distribution along with efficient service provisioning, inaugurating a challenging tradeoff between the system throughput and fairness. In this paper, the downlink scheduling effectiveness in modern passive optical networks (PONs) is examined, adopting the ten-gigabit passive optical network (XG-PON) architecture deployed in a tree topology. Considering that the tree topology implies a broadcast nature of data delivering in the downlink direction, the tradeoff between the efficiency and fairness becomes even more compelling, bearing in mind that the distance the broadcast data propagate between the source and users' destination is highly differentiated. In order to remedy this situation two effective scheduling schemes are proposed, namely the shortest propagation processing time (SPPT) and the shortest weighted propagation processing time (SWPPT). Both algorithms are extensively assessed, while the obtained results indicate that the proposed algorithms assure a fair and effective downlink schedule. © 2014 IEEE.},
keywords = {downstream, Fairness, Passive optical networks, round trip time, Scheduling, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; M. Louta; V. Kakali
vol. 2015-January, no. January, 2014.
Abstract | BibTeX | Tags: Dynamic bandwidth allocation, Fairness, Learning automata, Passive optical networks, XG-PON | Links:
@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}
}
2013
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos
Ensuring fair downlink allocation in modern access networks: The XG-PON framework Conference
2013.
Abstract | BibTeX | Tags: downstream, Fairness, Max-Min fairness, Passive optical networks, XG-PON | Links:
@conference{Sarigiannidis2013,
title = {Ensuring fair downlink allocation in modern access networks: The XG-PON framework},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos},
url = {https://www.researchgate.net/publication/271556110_Ensuring_fair_downlink_allocation_in_modern_access_networks_The_XG-PON_framework},
doi = {10.1109/SCVT.2013.6736006},
year = {2013},
date = {2013-01-01},
journal = {IEEE SCVT 2013 - Proceedings of 20th IEEE Symposium on Communications and Vehicular Technology in the BeNeLux},
abstract = {The fairness aspect on handling user data flows in modern broadband telecommunication networks is of paramount importance since it strongly affects the quality of the provided services. In this work, the fairness provisioning is investigated in a competitive telecommunication field such as the passive optical networks (PONs). Intending to resolve unequal resource allocation in the downstream data delivery, a fair bandwidth assignment scheme is devised and evaluated. The Max-Min fairness concept is applied in order to determine the best effort (BE) bandwidth allocation of each optical network unit (ONU) in the optical line terminal (OLT) side. Simulation results indicate the benefits of utilizing the proposed resource allocation technique in terms of fair bandwidth distribution. © 2013 IEEE.},
keywords = {downstream, Fairness, Max-Min fairness, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
Address
Internet of Things and Applications Lab
Department of Electrical and Computer Engineering
University of Western Macedonia Campus
ZEP Area, Kozani 50100
Greece
Contact Information
tel: +30 2461 056527
Email: ithaca@uowm.gr