Published February 21, 2021 | Version PrePrint
Preprint Open

Modeling and Accomplishing the BEREC Network Neutrality Policy

Creators

  • 1. Salvador University - UNIFACS
  • 2. IFBA

Description

Network neutrality (NN) is a principle of equal treatment of data in network infrastructures with fairness and universality being the primary outcomes of the NN management practice. For networks, the accomplishment of NN management practice is essential to deal with heterogeneous user requirements and the ever-increasing data traffic. Current tools and methods address the NN problem by detecting network neutrality violations and detecting traffic differentiation. This paper proposes the NN-PCM (Network Neutrality Policy Conformance Module) that deploys the BEREC network neutrality policy using a bandwidth allocation model (BAM). The NN-PCM new approach allocates bandwidth to network users and accomplishes the BEREC NN policy concomitantly. Network neutrality is achieved by grouping users with similar traffic requirements in classes and leveraging the bandwidth allocation model's characteristics. The conceptual analysis and simulation results indicate that NN-PCM allocates bandwidth to users and accomplishes BEREC network neutrality conformance \emph{by design} with transparent, non-discriminatory, exceptional, and proportional management practices.

Files

2020_Net_Neutrality_IJNM_Zenodo_PrePrint.pdf

Files (1.3 MB)

Name Size Download all
md5:9310b96f0e5ee19e356fae10851fcfc3
1.3 MB Preview Download

Additional details

References

  • Stocker V, Smaragdakis G, Lehr W. The State of Network Neutrality Regulation. ACM SIGCOMM Computer Communication Review 2020; 50(1): 45–59.
  • Schewick Bv. Network Neutrality and Quality of Service: What a Non-Discrimination Rule Should Look Like. Stanford Law Review 2015; 67(1): 1–129.
  • Wu T. Network Neutrality, Broadband Discrimination. Journal of Telecom. and High Technology Law 2005; 2: 141–180.
  • Maille P, Simon G, Tuffin B. Toward a Net Neutrality Debate That Conforms to the 2010s. IEEE Communications Magazine 2016; 54(3): 94–99.
  • Valletti T, Peitz M, Greenstein S. Net Neutrality: A Fast Lane to Understanding the Trade-offs.Working Paper 16- 01, University of Mannheim; : 2016.
  • Webb M. Net Neutrality: A Regulatory Perspective. In: ITU; 2012; Sri Lanka.
  • BEREC . Guidelines on the Implementation by National Regulators of European Net Neutrality Rules.; 2016. BoR (16) 127.
  • Commission FC. Protecting and Promoting the Open Internet. Tech. Rep. 15-24, ; Washington: 2015.
  • Brazil CD. Decreto No 8.771.; 2016.
  • Belli L, Bergen vM. A Discourse-Principle Approach to Network Neutrality: A Model Framework and its Application. tech. rep., ; : 2013.
  • Marsden C. Comparative Case Studies in Implementing Net Neutrality: A Critical Analysis of Zero Rating. SCRIPTed 2016; 13(1): 1–39.
  • Garrett T, Setenareski LE, Peres LM, Bona LCE, Duarte EP. Monitoring Network Neutrality: A Survey on Traffic Differentiation Detection. IEEE Communications Surveys Tutorials 2018: 1–1.
  • Bourreau M, Kourandi F, Valletti T. Net Neutrality with Competing Internet Platforms. The Journal of Industrial Electronics 2015; 63(1): 30–73.
  • Peitz M, Schuett F. Net Neutrality and Inflation of Traffic. Int. Journal of Industrial Organization 2016; 46: 16–62.
  • Li F, Niaki AA, Choffnes D, Gill P, Mislove A. A Large- Scale Analysis of Deployed Traffic Differentiation Practices. In: Proceedings of the ACM Special Interest Group on Data Communication - SIGCOMM. ; 2019; Beijing, China: 130–144.
  • Wójcik R. Net Neutral Quality of Service Differentiation in Flow-Aware Networks. PhD thesis. AGH University of Science and Technology, Kraków, Poland; 2011.
  • Ravaioli R, Urvoy-Keller G, Barakat C. Towards a General Solution for Detecting Traffic Differentiation at the Internet Access. In: Proceedings of the 27th International Teletraffic Congress (ITC). ; 2015: 1–9
  • Zhang Z, Mara O, Argyraki K. Network Neutrality Inference. In: SIGCOMM '14. Association for Computing Machinery; 2014; Chicago, Illinois, USA: 63–74.
  • Maltinsky A, Giladi R, Shavitt Y. On Network Neutrality Measurements. ACM Transactions on Intelligent Systems and Technology 2017; 8(4): 56:1–56:22.
  • MayerW, Schreiber T,Weippl E. A Framework for Monitoring Net Neutrality. In: Proceedings of the 13th International Conference on Availability, Reliability and Security (ARES); 2018; Hamburg, Germany: 1–10.
  • SivaramanV, Madanapalli SC,Kumar H, Gharakheili HH. OpenTD: Open Traffic Differentiation in a Post-Neutral World. In: SOSR '19. Association for Computing Machinery; 2019; San Jose, CA, USA: 119–126.
  • Stocker V, Smaragdakis G, LehrW. The State of Network Neutrality Regulation.; 2020.
  • Bauer JM, Knieps G. Complementary Innovation and Network Neutrality. Telecommunications Policy 2018; 42(2): 172 – 183.
  • Glass V, Tardiff T. A New Direction for the Net Neutrality Debate. Telecommunications Policy 2019; 43(3): 199 – 212.
  • Abiteboul S, Stoyanovich J. Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation.; 2019.
  • Ma RT, Misra V. Routing Money, Not Packets: A Tutorial on Internet Economics. In: SIGMETRICS '17 Abstracts. Association for Computing Machinery; 2017; Urbana- Champaign, Illinois, USA: 69–70.
  • Choi JP, Jeon DS, Kim BC. Net Neutrality, Business Models, and Internet Interconnection. American Economic Journal: Microeconomics 2015; 7(3): 104–141.
  • Reale R, Bezerra R, Martins J. G-BAM: A Generalized Bandwidth Allocation Model for IP/MPLS/DS-TE Networks. International Journal of Computer Information Systems and Industrial Management Applications 2014; 6: 635–643. doi: 10.5281/zenodo.1292771
  • Reale RF. Orquestração Cognitiva e Dinâmica da Alocação de Recursos para Redes MPLS/DSTE. PhD thesis. Salvador University - UNIFACS, Salvador, Brazil; 2019.
  • Faucher FL, Lai W. Maximum Allocation Bandwidth Constraints Model for DiffServ-aware MPLS Traffic Engineering. Request for Comments RFC 4125, IETF; : 2005.
  • Le Faucheur F, Boyle J, Kompella K, Townsend W, Nadeau TD, Skalecki D. Russian Dolls Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering. Request for Comments - RFC RFC 4127, Internet Engineering Task Force - IETF; : 2005.
  • Tata C, Kadoch M. CAM: Courteous bandwidth constraints allocation model. In: Proceedings of the 20th International Conference on Telecommunications - ICT; 2013: 1–5
  • Neto WCP, Martins JSB. Adapt-RDM - A Bandwidth Management Algorithm suitable for DiffServ Services Aware Traffic Engineering. In: IEEE/IFIP Network Operations and Management Symposium; 2008: 975–978.
  • Reale RF, Neto WCP, Martins JSB. AllocTC-Sharing: A New Bandwidth Allocation Model for DS-TE Networks. In: Proceedings of the VII Latin American Network Operations and Management Symposium; 2011; Quito, Equador: 1–4
  • Bahnasse A, Louhab FE, Oulahyane HA, Talea M, Bakali A. Smart Bandwidth Allocation for Next Generation Networks Adopting Software-Defined Network Approach. Data in Brief 2018; 20: 840–845. doi: 10.1016/j.dib.2018.08.091
  • Oliveira EM, Reale RF, Martins JSB. Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning - Evidences Towards Dynamic BAMReconfiguration. In: Proceedings of the IEEE International Symposium on Computers and Communications (ISCC); 2018; Natal, Brazil: 1–7
  • Sadon SK, Din NM, Al-Mansoori MH, et al. Dynamic Hierarchical Bandwidth Allocation Using Russian Doll Model in Epon. Computers & Electrical Engineering 2012; 38(6): 1480–1489. doi: 10.1016/j.compeleceng.2012.05.002
  • Trivisonno R, Guerzoni R, Vaishnavi I, Frimpong A. Network Resource Management and QoS in SDN-Enabled 5G Systems. In: Proceedings of the IEEE Globecom; 2015: 1–7.
  • Durães G, Reale R, Bezerra R, Fontinele A, Soares A, Martins JSB. Evaluating the Applicability of Bandwidth Allocation Models for EON Slot Allocation. In: Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEEANTS); 2017; Bhubaneswar, Odisha, India: 1–6.
  • Hesselbach X, Dantas J, Amazonas JR, Botero JF, Piney JR. Management of Resources under Priorities in EON Using a Modified RDM Based on the Squatting-Kicking Approach. In: IEEE; 2016; Trento, Italy: 1–5
  • Reale RF, Bezerra RM, Martins JSB. Analysis of Bandwidth Allocation Models Reconfiguration Impacts. In: Proceedings of the III International Workshop on ICT Infrastructures and Services (ADVANCE); 2014; Florida, US: 67–76
  • BEREC . All You Need to Know about Net Neutrality Rules in the EU.; 2020.
  • Belli L. Net Neutrality Reloaded: Zero Rating, Specialised Service, Ad Blocking and Traffic Management. Fundação Getulio Vargas - Direito . 2016.
  • Belli L, De Filippi P. The Value of Network Neutrality for the Internet of Tomorrow. tech. rep., CERSA - Centre d'Etudes et de Recherches de Sciences Administratives et Politiques; : 2013.
  • Barreto D, Reale R, Martins J. Neutralidade de Rede com Modelos de Alocação de Banda e Comportamentos G-BAM Análise de Compatibilidade. In: Proceedings of the XXXV Computer Networks and Distributed Systems Brazilian Symposium (SBRC); 2017; Belém, Brazil: 702–715.
  • Kreutz D, Ramos FMV, Verissimo P, Rothenberg CE, Azodolmolky S, Uhlig S. Software-Defined Networking: A Comprehensive Survey. Proceedings of the IEEE 2014; 103(1): 14–76.
  • Mendiola A, Astorga J, Jacob E, Higuero M. A Survey on the Contributions of Software-Defined Networking to Traffic Engineering. IEEE Communications Surveys Tutorials 2017; 19(2): 918–953.
  • ITU-T . Y.1541: Network Performance Objectives for IPBased Services.; 2002.
  • ITU-T . Y.1221: Traffic Control and Congestion Control in IP-Based Networks.; 2002.