Abstract
The integration of Software Defined Networking (SDN) and Network Function Virtualization (NFV) is considered to be an efficient solution that enables the forecasting of highly scalable, optimal performance of 5G networks by providing an effective means of network functionality. The distributed multi-controller architecture approach is an emerging strategy that primarily aims to support network functions performed through the application of a control plane, to provide versatile network traffic management. However, the management of resource allocations across multiple data centers is an important issue that still affects 5G core networks. Using such a strategy in 5G core networks requires the controllers to be correctly located, in order to improve network reliability and cost-effectiveness. Thus, to address the controller placement problem (CPP) in a distributed 5G network, we proposed an efficient, heuristic multi-objective optimization approach, using dynamic capacitated controller placement problem (DCCPP). It is based on the K -center problem, to solve the capacitated controller placement problem (CCPP), which acts as a resource location problem, in which the location and number of controllers can be allocated to maximize resources. A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. The design of the heuristic method provides proper load balancing, efficient cost management, and network resource management, as compared to the basic CCPP model. The results indicate that the allocation and the optimum number of controllers under an effective decentralized policy could achieve a higher degree of efficiency through resource assignment in such a densified network.
Highlights
The advent of the fifth generation (5G) has created an exponential increase in traffic volume, accompanied by the immense use of applications and various service characteristics, which have added to the complexity of network management and orchestration
We focus on a distributed model applied to a specified multi-control layer that demonstrates the efficiency of Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies in 5G
THE CONTROLLER PLACEMENT AND DYNAMIC ALLOCATION PROBLEM FORMULATION Throughout this section, we introduce a general optimization framework for describing controller placement problem (CPP) in a distributed system compatible with the mapping of controllers for large-scale implementation of the SDN and NFV in the 5G core network architecture (5G-CN), as set out in Section (II) above
Summary
The advent of the fifth generation (5G) has created an exponential increase in traffic volume, accompanied by the immense use of applications and various service characteristics, which have added to the complexity of network management and orchestration. This improvement includes the high processing capacity of the controller clusters equipped with advanced multi-threading technologies and constructive traffic management systems [32] In this regard, the deployment of the multi-layer architecture of a cloud orchestrator, or a distributed DC infrastructure, enables automated deployment and coordination of new systems, resources, and end-to-end services across edge networks [33]. In a multi-controller architecture, different flow configuration models are feasible, as the controller-based core network has precisely a robust network vision It is responsible for determining the rules for the maintenance and management of thousands of sub-layer DCs for providing optimized solutions for the overall productivity of high-capacity resources and functions [40]. The optimization model was used to only optimized the minimum number of controllers without considering the analysis of traffic for load balancing
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