[PDF][PDF] An Approach for virtualized network slices planning in multiservice communication environment
2019•ela.kpi.ua
Background. Nowadays we face a huge growth in traffic of mobile networks due to the
increased usage of smartphones and other mobile devices. To overcome these challenges
and improve the efficiency of the network telecom operators use the advanced architectural
solutions. These solutions are based on the concept of network slices. Objective. In this
paper the improving of the efficiency of mobile networks by forming and mapping slices of
multi-service communication network based on network functions virtualization (NFV) is …
increased usage of smartphones and other mobile devices. To overcome these challenges
and improve the efficiency of the network telecom operators use the advanced architectural
solutions. These solutions are based on the concept of network slices. Objective. In this
paper the improving of the efficiency of mobile networks by forming and mapping slices of
multi-service communication network based on network functions virtualization (NFV) is …
Background. Nowadays we face a huge growth in traffic of mobile networks due to the increased usage of smartphones and other mobile devices. To overcome these challenges and improve the efficiency of the network telecom operators use the advanced architectural solutions. These solutions are based on the concept of network slices. Objective. In this paper the improving of the efficiency of mobile networks by forming and mapping slices of multi-service communication network based on network functions virtualization (NFV) is considered as an effective approach to resolve the mentioned above issues.
Methods. In order to find the optimal organization of slices the modified algorithm was proposed and performed for several different thresholds of functional losses.
Results. The algorithm solves the task of services grouping by their similarity and defines functional costs for services provision with minimum functional losses. Number of slices and functional losses in accordance with various threshold values were considered.
Conclusions. The results showed the possibility to rationally allocate system resources, especially when comparing to the similar approach. The further researches will be dedicated to more detailed analysis of the proposed approach with the aim of defining the optimal threshold values of functional losses.
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