Abstract
The concept of network slicing (NS) has been proposed for flexible resource provisioning where a physical resource is partitioned into logically independent networks on demand. The NS resource allocation implies the definition of a feasible path in the infrastructure network with adequate resource availability. However, due to complex structural characteristics of the backhaul transport network, a number of issues arise when fast deploying the end-to-end (E2E) slices onto network infrastructures. In this paper, a pair-decision resource allocation model is firstly formulated to construct the mapping relationship between logical networks and substrate networks in a coordinated way. In order to improve extreme quality of service (QoS) and user experiment, latency-optimal virtual resource allocation problem is defined, subject to the backhaul capacity and bandwidth constraints. The problem is formulated as an integer linear programming (ILP) and solved with the branch-and-bound scheme, whose resolution yields an optimal virtual network function (VNF) placement and traffic routing policy. Numerical results reveal that the proposed scheme can enable the transport network latency optimization with a reduction of up to 30% and 41.6% compared to the Network Slice Design Problem (NSDP) and Random Fit Placement Algorithm (RFPA) schemes respectively. In the meanwhile, the network load balance and serviceability have been improved efficiently with better resource utilization as well.
Highlights
The fifth-generation (5G) communications systems are facing the challenge to support a wide range of industrial applications [1] such as mobile broadband and massive machine type communications, mission-critical applications as well as traditional voice and data
The mapping objects are substrate network resources and SCs of E2E slices, and the problem model encloses the formulation of integer linear programming (ILP), whose resolution yields the optimal path for virtual network function (VNF) and virtual links mapping and traffic routing
VNUs can be implemented as a set of VNFs running on general x86 hardware in DCs, while each logical slice corresponds to an abstraction of a subset of physical substrate network resources tailored to meet the specific customer quality of service (QoS)/resilience requirements [14]
Summary
The fifth-generation (5G) communications systems are facing the challenge to support a wide range of industrial applications [1] such as mobile broadband and massive machine type communications, mission-critical applications as well as traditional voice and data. To optimize the transport network latency and improve load-balance, a pair-decision resource allocation model for backhaul transport NS is introduced on account of mapping virtual nodes and links in a coordinated way. The mapping objects are substrate network resources and SCs of E2E slices (i.e., including VNUs and their interconnections), and the problem model encloses the formulation of ILP, whose resolution yields the optimal path for VNFs and virtual links mapping and traffic routing. For further improving extreme QoS (such as 5G ultra-reliable low-latency communications (URLLC)), the above resource allocation problem is formulated to minimize the transport network latency with considering the transmission time and propagation time, subject to the network capacity and link bandwidth constraints.
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