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Policy-Based Management for Green Mobile Networks Through Software-Defined Networking

  • Alberto Huertas Celdrán
  • Manuel Gil Pérez
  • Félix J. García Clemente
  • Gregorio Martínez Pérez
Article

Abstract

Traditional networks are characterized by wasting considerable amount of energy that could be reduced drastically. The challenge of energy saving should be managed efficiently, where the mobility of users and services are nominated to play a significant role as well as the use of the Software Defined Networking (SDN) paradigm. Besides the network management supported by the SDN paradigm, we highlight the management of the network infrastructure at run-time, considering aspects like the energy efficiency. In this paper, we present an energy-aware and policy-based system oriented to the SDN paradigm, which allows managing the network infrastructure dynamically at run-time and on demand through policies. With these policies, any network using our solution will be able to reduce energy consumption by switching on/off its resources when they are inefficient, and creating virtualized network resources like proxies to reduce the network traffic. The experiments conducted demonstrate how the energy consumption is reduced when enforcing the proposed policies, considering aspects such as the number of base stations, their cell sizes, and the number of active devices in a given time, among other.

Keywords

Energy-aware policies Software defined networking Users’ mobility Virtualization 

Notes

Acknowledgments

This work has been supported by a Séneca Foundation grant within the Human Resources Researching Training Program 2014, the European Commission Horizon 2020 Programme under grant agreement number H2020-ICT-2014-2/671672 - SELFNET (Framework for Self-Organized Network Management in Virtualized and Software Defined Networks), the Spanish MINECO (project DHARMA, Dynamic Heterogeneous Threats Risk Management and Assessment, with code TIN2014-59023-C2-1-R; and project TecMASAS, Techniques to Improve the Architecture of Servers, Applications and Services, with code TIN2015-66972-C5-3-R), and the European Commission (FEDER/ERDF).

References

  1. 1.
    Horvath R, Nedbal D, Stieninger M (2015) A literature review on challenges and effects of software defined networking. Procedia Comput Sci 64:552–561CrossRefGoogle Scholar
  2. 2.
    Huertas Celdrán A, Gil Pérez M, García Clemente FJ, Martínez Pérez G. Enabling highly dynamic mobile scenarios with software defined networking. IEEE Communications Magazine, Feature Topics Issue on SDN Use Cases for Service Provider Networks, In PressGoogle Scholar
  3. 3.
    Jimenez JM, Romero O, Rego A, Dilendra A, Lloret J (2015) Study of multimedia delivery over software defined networks. Netw Protoc Algorithm 7(4):37–62CrossRefGoogle Scholar
  4. 4.
    Molina E, Jacob E, Astarloa A (2016) Using OpenFlow to control redundant paths in wireless networks. Netw Protoc Algorithm 8(1):90–103CrossRefGoogle Scholar
  5. 5.
    Jingjin W, Yujing Z, Zukerman M, Yung EKN (2015) Energy-efficient base-stations sleep-mode techniques in green cellular networks A survey. IEEE Commun Surv Tutor 17(2):803–826CrossRefGoogle Scholar
  6. 6.
    Auer G, Giannini V, Desset C, Godor I, Skillermark P, Olsson M, Imran MA, Sabella D, Gonzalez MJ, Blume O, Fehske A (2011) How much energy is needed to run a wireless network?. IEEE Wirel Commun 18(5):40–49CrossRefGoogle Scholar
  7. 7.
    Yun W, Staudinger J, Miller M (2012) High efficiency linear GaAs MMIC amplifier for wireless base station and Femto cell applications. In: IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications, pp 49–52Google Scholar
  8. 8.
    Marsan MA, Chiaraviglio L, Ciullo D, Meo M (2009) Optimal energy savings in cellular access networks. In: IEEE International Conference on Communications Workshops, pp 1–5Google Scholar
  9. 9.
    Claussen H, Ashraf I, Ho LTW (2010) Dynamic idle mode procedures for femtocells. Bell Labs Tech J 15(2):95–116CrossRefGoogle Scholar
  10. 10.
    Rongpeng L, Zhifeng Z, Xianfu C, Palicot J, Honggang Z (2014) TACT: A transfer actor-critic learning framework for energy saving in cellular radio access networks. IEEE Trans Wirel Commun 13(4):2000–2011CrossRefGoogle Scholar
  11. 11.
    Zhisheng N, Yiqun W, Jie G, Zexi Y (2010) Cell zooming for cost-efficient green cellular networks. IEEE Commun Mag 48(11):74–79CrossRefGoogle Scholar
  12. 12.
    Bhaumik S, Narlikar G, Chattopadhyay S, Kanugovi S (2010) Breathe to stay cool: Adjusting cell sizes to reduce energy consumption. In: First ACM SIGCOMM Workshop on Green Networking, pp 41–46Google Scholar
  13. 13.
    Richter F, Fehske AJ, Fettweis GP (2009) Energy efficiency aspects of base station deployment strategies for cellular networks. In: IEEE Vehicular Technology Conference Fall, pp 1–5Google Scholar
  14. 14.
    Yulong Z, Jia Z, Rui Z (2013) Exploiting network cooperation in green wireless communication. IEEE Trans Commun 61(3):999–1010CrossRefGoogle Scholar
  15. 15.
    Ming L, Pan L, Xiaoxia H, Yuguang F, Glisic S (2015) Energy consumption optimization for multihop cognitive cellular networks. IEEE Trans Mob Comput 14(2):358–372CrossRefGoogle Scholar
  16. 16.
    Andrade S, Ruiz E, Granell E, Lloret J (2013) Energy consumption of wireless network access points. In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 113, pp 81– 91Google Scholar
  17. 17.
    Chang L, Jun Z, Letaief KB (2013) Energy efficiency analysis of small cell networks. In: International Conference on Communications, pp 4404–4408Google Scholar
  18. 18.
    Chia Y-K, Sun S, Zhang R (2013) Energy cooperation in cellular networks with renewable powered base stations, pp 2542– 2547Google Scholar
  19. 19.
    Kejiang Y, Dawei H, Xiaohong J, Huajun C, Shuang W (2010) Virtual machine based energy-efficient data center architecture for cloud computing: A performance perspective. In: Conference on Cyber, Physical and Social Computing, pp 171–178Google Scholar
  20. 20.
    Hyojoon K, Feamster N (2013) Improving network management with software defined networking. IEEE Commun Mag 51(2):114–119CrossRefGoogle Scholar
  21. 21.
    Wang X, Vasilakos AV, Chen M, Liu Y, Kwon TT (2012) A survey of green mobile networks Opportunities and challenges. Mob Netw Appl 17(1):4–20CrossRefGoogle Scholar
  22. 22.
    Huaping S, Kumar M, Das SK, Wang Z (2004) Energy-efficient caching and prefetching with data consistency in mobile distributed systems. In: International Parallel and Distributed Processing Symposium 2004, p 67Google Scholar
  23. 23.
    Aligrudic A, Pejanovic-Djurisic M (2014) Energy efficiency metrics for heterogenous wireless cellular networks. In: 2014 Wireless Telecommunications Symposium, pp 1–4Google Scholar
  24. 24.
    Motik B, Patel-Schneider PF, Parsia B (2012) OWL 2 web ontology language: Structural specification and functional-style syntax, 2nd edn. W3C RecommendationGoogle Scholar
  25. 25.
    Stanford Center for Biomedical Informatics Research. The Protégé tool: A free, open source ontology editor and knowledge-base framework. Available at http://protege.stanford.edu
  26. 26.
    Distributed Management Task Force, Inc. The CIM standard: Common Information Model. Available at http://www.dmtf.org/standards/cim
  27. 27.
    Linux Foundation. OpenDaylight: Open source SDN platform. Available at http://www.opendaylight.org
  28. 28.
    Horrocks I, Patel-Schneider PF, Boley H, Tabet S, Grosof B, Dean M (2004) SWRL: A semantic web rule language combining OWL and RuleML, W3C Member SubmissionGoogle Scholar
  29. 29.
    Sirin E, Parsia B, Cuenca Grau B, Kalyanpur A, Katz Y (2007) Pellet: A practical OWL-DL reasoner. Web Semant Sci Serv Agents World Wide Web 5(2):51–53CrossRefGoogle Scholar
  30. 30.
    Prud’hommeaux E, Seaborne A (eds) (2008) SPARQL query language for RDF, W3C RecommendationGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Alberto Huertas Celdrán
    • 1
  • Manuel Gil Pérez
    • 1
  • Félix J. García Clemente
    • 2
  • Gregorio Martínez Pérez
    • 1
  1. 1.Departamento Ingeniería de la Información y las ComunicacionesUniversity of MurciaMurciaSpain
  2. 2.Departamento Ingeniería y Tecnología de ComputadoresUniversity of MurciaMurciaSpain

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