• DocumentCode
    1781086
  • Title

    MORSA: A multi-objective resource scheduling algorithm for NFV infrastructure

  • Author

    Yoshida, Manabu ; Shen, Wei ; Kawabata, Tsutomu ; Minato, Kenji ; Imajuku, Wataru

  • Author_Institution
    NTT Network Innovation Labs., Yokosuka, Japan
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Capital expenditure (CAPEX) and operating expenses (OPEX) have been practical concerns for telecommunication companies, and Network Function Virtualization (NFV) has attracted significant attention in recent years. However, the NFV Infrastructure (NFVI) includes a wide variety of resource types and stakeholders. Hence, there is still a need for the existing resource scheduling approaches, but they are no longer sufficient. In this paper, we propose a Multi-objective Resource Scheduling Algorithm (MORSA) to optimize the NFVI resources. In the development of the MORSA, we designed a plug-in architecture to satisfy various requirements related to NFVI resources and stakeholder policies. The MORSA allows the NFVI Resource Scheduler to optimize simultaneously the combination of possibly conflicting objectives with multifaceted constraints in complex real world situations. Evaluation results show that the MORSA obtains approximate solutions among conflicting objectives in a reasonable computation time.
  • Keywords
    Pareto optimisation; computer network management; resource allocation; virtualisation; CAPEX; MORSA; NFV infrastructure; OPEX; capital expenditure; multiobjective resource scheduling algorithm; network function virtualization; operating expenses; plug-in architecture; Genetic algorithms; Hardware; Linear programming; Pareto optimization; Processor scheduling; Quality of service; Software; Genetic Algorithm; NFV-MANO; NFV-Orchestrator; OpenStack; Resource Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/APNOMS.2014.6996545
  • Filename
    6996545