Titlebook: Wired/Wireless Internet Communications; 15th IFIP WG 6.2 Int Yevgeni Koucheryavy,Lefteris Mamatas,Panagiotis Pa Conference proceedings 2017

碎片

掙扎

Olfa Chabbouh,Nazim Agoulmine,Sonia Ben Rejeb,Zied Choukair

閃光東本

Artem Volkov,Abdukodir Khakimov,Ammar Muthanna,Ruslan Kirichek,Andrei Vladyko,Andrey Koucheryavy

天空

Vsd168

Task Scheduling Scheme Based on Cost Optimization in 5G/Hetnets C-RANinto account deployment cost, deadline and available resources in order to make offloading decisions more efficient and to increase user experience. The solution was implemented in a simulator to highlight the benefit of the approach compared to existing approach.

樂(lè)意

Energy Efficiency Performance for 5G Cellular Networkso improve the EE while meeting the required capacity. The EE analytical expression is derived based on the stochastic geometry theory. Through the simulation results, the performance of the suggested scheme are conducted.

Capitulate

Evaluation of Geocast Routing Trees on Random and Actual Networksmost wired networks, Shortest Path forwarding efficiency can come close to an ideal Steiner Tree. We also identify a correlation between the forwarding efficiency and network characteristics such as the node degree and betweenness. This information could be useful in deciding on a choice of routing method or even help with network design.

吼叫

antiandrogen

Analysis and Performance Evaluation of SDN Queue Model monitor change of average packet processing time for various network parameters. Using presented in this work SDN model, network administrators and planners can better predict likely performance changes arising from traffic variation. This allows them to make prompt decisions to prevent seemingly small issues from becoming major bottlenecks.

可觸知

Analysis of a Retrial Queue with Limited Processor Sharing Operating in the Random Environmentce later. The stationary distribution of the system states (including the number of customers in orbit and in service) is computed and expressions for the key performance measures of the system are derived. Numerical example illustrates possibility of optimal adjustment of the server capacity to the state of the random environment.