ARES: an adaptive, resilient, estimation scheme for enforcing bandwidth allocation in XG-PON systems

Panagiotis Sarigiannidis, Georgios Papadimitriou, Petros Nicopolitidis, Vasiliki Kakali, Emmanouel Varvarigos, Konstantinos Yiannopoulos

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

Passive Optical Networks (PONs) constitute the dominant architecture in the last mile that effectively realize the Fiber To The Home/Building/Curve (FTTH/B/C) paradigm. It combines a cost- effective infrastructure with an effective data delivering, where multi- ple users are able to use high-quality services. The latest new generation PON (NG-PON) standard, known as 10-gigabit-capable passive opti- cal network (XG-PON), stands a very promising framework that incor-porates 10 Gbps nominal speed in the downstream direction. In the opposite, all users have to share the upstream channel, where multiple upstream traffic flows are delivered to the Central Office (CO), using a channel of 2.5 Gbps rate. Having in mind that in dense, urban areas the number of users is quite large, an efficient Dynamic Bandwidth Alloca-tion (DBA) scheme is mandatory to guarantee unhindered high-quality service delivery. In this work, a resilient coordination scheme is presented that intends to ensure high-efficient traffic delivery under pressing traffic conditions. In order to achieve that, a sophisticated machine learning model is proposed that coordinates the Optical Networks Units (ONUs) based on their traffic profile. The proposed, Adaptive Resilient Estima-tion Scheme (ARES), contributes in a twofold way. First, it succeeds to provide balanced resource allocation, under heavy traffic circumstances, by isolating idle ONUs. Second, it manages to effectively adjust the amount of fixed bandwidth allocated to Alloc-IDs based on their traf-fic behavior. Simulation results demonstrate that ARES offers consider-able improvements in terms of average upstream packet delay and traffic received, while the estimation accuracy attains at high levels.

Original languageEnglish
Title of host publicationE-Business and Telecommunications
Subtitle of host publication11th International Joint Conference, ICETE 2014 Vienna, Austria, August 28–30, 2014, Revised Selected Papers
EditorsMohammad S. Obaidat, Andreas Holzinger, Joaquim Filipe
Place of PublicationCham Switzerland
PublisherSpringer
Pages131-151
Number of pages21
Edition1st
ISBN (Electronic)9783319259154
ISBN (Print)9783319259147
DOIs
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume554
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Keywords

  • Dynamic bandwidth allocation
  • Machine learning
  • Passive optical networks
  • XG-PON

Cite this