QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks
Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, and Zhi-Quan Luo

TL;DR
This paper introduces a flexible network slicing approach that ensures QoS guarantees by transforming a complex nonlinear problem into a linear one, enabling efficient large-scale solutions.
Contribution
It proposes a novel MILP formulation for network slicing that allows multi-path routing and guarantees QoS, along with a specialized column generation algorithm for large-scale problems.
Findings
The MILP formulation is equivalent to the original MINLP but easier to solve.
The continuous relaxation of the MILP is a polynomial-time solvable LP.
Numerical results confirm the effectiveness of the proposed methods.
Abstract
In this paper, we consider the network slicing (NS) problem which attempts to map multiple customized virtual network requests (also called services) to a common shared network infrastructure and manage network resources to meet diverse quality of service (QoS) requirements. We propose a mixed-integer nonlinear programming (MINLP) formulation for the considered NS problem that can flexibly route the traffic flow of the services on multiple paths and provide end-to-end delay and reliability guarantees for all services. To overcome the computational difficulty due to the intrinsic nonlinearity in the MINLP formulation, we transform the MINLP formulation into an equivalent mixed-integer linear programming (MILP) formulation and further show that their continuous relaxations are equivalent. In sharp contrast to the continuous relaxation of the MINLP formulation which is a nonconvex…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Energy Efficient Wireless Sensor Networks · Wireless Body Area Networks
