@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}

}

@conference{Sarigiannidis201545,

title = {Alleviating the high propagation delays in FiWi networks: A prediction-based DBA scheme for 10G-EPON-WiMAX systems},

author = { P. Sarigiannidis and M. Louta and G. Papadimitriou and I. Moscholios and A. Boucouvalas and D. Kleftouris},

url = {https://www.researchgate.net/publication/308463668_Alleviating_the_high_propagation_delays_in_FiWi_networks_a_prediction-based_DBA_scheme_for_10G-EPON-WiMAX_systems},

doi = {10.1109/FOAN.2015.7320478},

year  = {2015},

date = {2015-01-01},

journal = {2015 International Workshop on Fiber Optics in Access Network, FOAN 2015},

pages = {45-50},

abstract = {Fiber Wireless (FiWi) networks constitute a very promising, cost-effective solution to cope with modern demanding services and applications in access networks. One of the most challenging objective lies in the design of a robust, efficient and effective bandwidth allocation. The design of such a Dynamic Bandwidth Allocation (DBA) scheme should take into account the large propagation delays between mobile users and the Central Office (CO). In this work, we endeavor to address this challenge by proposing a prediction-aware DBA scheme for FiWi networks, where the optical domain is implemented by a 10Gbps Ethernet PON (10G-EPON) and the wireless domain is supported by WiMAX access stations. In order to ensure an effective DBA scheme a hidden Markov chain model is devised for estimating the surplus traffic requests of each mobile user during the coordination message exchange between the optical and the wireless domains. In addition, a fair bandwidth distribution is applied based on the results of the prediction module. Based on the obtained simulation results the proposed scheme presents a good network performance in terms of prediction accuracy and packet delay. © 2015 IEEE.},

keywords = {bandwidth allocation, FiWi, hidden Markov chains, prediction},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{Sarigiannidis2014f,

title = {An adaptive power management scheme for Ethernet Passive Optical Networks},

author = { P. Sarigiannidis and K. Anastasiou and E. Karapistoli and V. Kakali and M. Louta and P. Angelidis},

url = {https://www.researchgate.net/publication/286812658_An_adaptive_power_management_scheme_for_Ethernet_Passive_Optical_Networks?_sg=9Zz2iY14mUeTZMc-phRI6wlWdfdweiaLCUVbz0BGxvUSnU_GRkZWSEFJrAzLqjctJX0s3ulybPAE6OQ},

doi = {10.1109/ISCC.2014.6912460},

year  = {2014},

date = {2014-01-01},

journal = {Proceedings - International Symposium on Computers and Communications},

abstract = {Undoubtedly, energy consumption in communication networks poses a significant threat to the environmental stability. Access networks contribute to this consumption by being composed of numerous energy inefficient devices and network equipment. Passive Optical Networks (PONs), one of the most promising candidates in the field of access networking, should avoid this bottleneck in the backhaul power consumption by lowering the energy use of the optical devices. In this paper, we move towards that direction by introducing an energy efficient power management scheme that encompasses two major goals: a) to reduce the energy consumption by allowing the optical devices to enter the sleep mode longer, and b) to concurrently maintain the network performance. To this end, we focus on the energy consumed by the optical network units (ONUs). The intelligence of the ONUs is stimulated by enhancing the decision making in determining the duration of the sleep period with learning from experience mechanism. Learning automata (LAs) are charged to address this challenge. The evaluation of the proposed enhanced power management scheme reveals considerable improvements in terms of energy savings, while at the same time the network performance remains in high levels. © 2014 IEEE.},

keywords = {bandwidth allocation, energy efficiency, Learning automata, Passive optical networks},

pubstate = {published},

tppubtype = {conference}

}

@conference{Sarigiannidis2011391,

title = {Towards an effective energy efficient passive optical network},

author = { P.G. Sarigiannidis and V.D. Pechlivanidou and M.D. Louta and P. Angelidis},

url = {https://www.researchgate.net/publication/221504359_Towards_an_effective_energy_efficient_passive_optical_network},

doi = {10.1109/ISCC.2011.5983869},

year  = {2011},

date = {2011-01-01},

journal = {Proceedings - IEEE Symposium on Computers and Communications},

pages = {391-396},

abstract = {Communication networks' energy consumption poses a considerable threat to the environment stability. The expansion of access networks, which constitute the main playground of the Internet backhaul, is accompanied by numerous energy inefficient devices and equipments. Passive optical networks (PONs) is a potential dominant technology on the field of access networking, hence the reduction of the consumed energy of the optical devices forms a critical issue. In this paper, an efficient green PON is introduced, having two main targets: a) to reduce the energy consumption, by allowing optical devices to operate longer in sleep mode, and b) to maintain PON's good performance. Beyond the green provisioning, the proposed scheme is able to increase occasionally the network performance in terms of mean packet delay and packet drop ratio. This is accomplished by reducing the amount of control messages between subscribers, operating in sleep mode, and central office, allowing more bandwidth to be allocated for data delivering. © 2011 IEEE.},

keywords = {bandwidth allocation, energy consumption, passive optical network},

pubstate = {published},

tppubtype = {conference}

}