Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers

Research Article

Self-management in Future Internet Wireless Networks: Dynamic Resource Allocation and Traffic Routing for Multi-service Provisioning

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  • @INPROCEEDINGS{10.1007/978-3-642-03819-8_22,
        author={Ioannis Chochliouros and Nancy Alonistioti and Anastasia Spiliopoulou and George Agapiou and Andrej Mihailovic and Maria Belesioti},
        title={Self-management in Future Internet Wireless Networks: Dynamic Resource Allocation and Traffic Routing for Multi-service Provisioning},
        proceedings={Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers},
        proceedings_a={MOBILIGHT},
        year={2012},
        month={6},
        keywords={Autonomic communications cognitive networks Future Internet generic cognitive cycle model self-configuration self-management self-organization spectrum re-allocation traffic routing WiMAX},
        doi={10.1007/978-3-642-03819-8_22}
    }
    
  • Ioannis Chochliouros
    Nancy Alonistioti
    Anastasia Spiliopoulou
    George Agapiou
    Andrej Mihailovic
    Maria Belesioti
    Year: 2012
    Self-management in Future Internet Wireless Networks: Dynamic Resource Allocation and Traffic Routing for Multi-service Provisioning
    MOBILIGHT
    Springer
    DOI: 10.1007/978-3-642-03819-8_22
Ioannis Chochliouros1,*, Nancy Alonistioti2,*, Anastasia Spiliopoulou3,*, George Agapiou1, Andrej Mihailovic4,*, Maria Belesioti1
  • 1: Research Programs Section
  • 2: University of Athens
  • 3: Hellenic Telecommunications Organization (O.T.E.) S.A.
  • 4: King’s College London (KCL)
*Contact email: ichochliouros@oteresearch.gr, nancy@di.uoa.gr, aspiliopoul@ote.gr, andrej.mihailovic@kcl.ac.uk

Abstract

Evolution towards the Future (Internet) networks necessitates inclusion of self-management capabilities in modern network infrastructures, for a satisfactory provision of related services and for preserving network performance. We have considered a specific targeted methodology, in the form of the which includes three distinct processes (i.e. ), known as the “MDE” model, able to support dynamic resource allocation and traffic routing schemes. For further understanding of the issue we have examined two essential use-cases of practical interest, both in the context of modern wireless infrastructures: The former was about dynamic spectrum re-allocation for efficient use of traffic, while the latter has examined intelligent dynamic traffic management for handling network overloads, to avoid congestion.