Publication | Closed Access
A novel approach to virtual networks embedding for SDN management and orchestration
83
Citations
9
References
2014
Year
Unknown Venue
EngineeringDynamic Resource AllocationNetwork PlanningNovel ApproachNetwork AnalysisSdn ManagementOperations ResearchSystems EngineeringNetwork ManagementNetwork OptimizationCombinatorial OptimizationAdvanced NetworkingOptimizationNetwork VirtualizationNetwork FlowsSoftware-defined NetworkingComputer EngineeringNetwork FunctionsComputer ScienceNetwork Function VirtualizationInteger ProgrammingNetwork ScienceEdge ComputingCloud ComputingNetwork IntegrationOptimal LocationVirtual NetworksVirtualised Resources
Methodologies for managing and orchestrating virtualised resources and network functions enable optimal use of physical ICT infrastructures, while edge‑location algorithms for network functions, IT and CT resources, services, and states create new business models and competitive advantages. This paper proposes a novel Mixed Integer Programming formulation for coordinated node and link mapping onto the underlying network infrastructure. The MIP framework allows operators to flexibly define constraints and objectives, making it applicable to a range of relevant use cases. Simulations demonstrate two‑digit improvements in resource utilisation, embedding, revenues, and convergence time compared to prior formulations.
The development of methodologies to manage and orchestrate virtualised resources and network functions is a fundamental enabler for optimally utilising physical ICT infrastructures. Algorithms for optimal location (embedding) of network functions, IT and CT resources, services and corresponding states, especially at the network edge, will enable new business models and provide a key competitive advantage to network administrators. This paper introduces a novel Mixed Integer Programming (MIP) formulation for a coordinated node and link mapping onto the underlying network infrastructure. Extensive simulation results show that the proposed algorithm outperforms prior art formulations: two digit gains were attained in terms of resources utilisation, embedding, revenues and, especially convergence time. The proposed methodology is applicable to a number of relevant use cases, as constraints and objective functions can be flexibly defined by network operators.
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