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In Figure3, we depict SUs blocking probability as a function of arrival rate of SUs to the first WSP.
They first determine the blocking probability as a function of the own cell interference and the other cell interference.
Figure 13 Parallel migration request blocking probability as a function of the arrival rate, for different values of the number of resource set instances available per request.
Figure 7 Parallel migration request blocking probability as a function of the arrival rate, for different values of the total network pipe capacity.
Figure 12 Sequential migration request blocking probability as a function of the arrival rate, for different values of the number of resource set instances available per request.
Figure 6 Sequential migration request blocking probability as a function of the arrival rate, for different values of the total network pipe capacity.
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Simulation results show that compared with the traditional algorithms, our proposed algorithm can obtain lower blocking probability as the restoration time can be satisfied.
To compare the performance of new architecture and the traditional one, the user uses the flooding suppression, routing delay, resource utilization and traffic blocking probability as performance simulation parameters and taking the verification simulation on objective modular network testbed (OMNeT) platform against to source-node routing architecture.
Last, given load balancing index and call blocking probability as metrics, numerical results evaluate the performance of the proposed algorithms, which demonstrates the accuracy of the theoretical analysis and provides further insights into the design and operation of the energy-aware load balancing system.
From the steady-state probability we can calculate the blocking probability as follows [31]: p_{b}=frac{sumlimits_{d=0}^{D} pi_{d,U}~ lambda_{u} + sumlimits_{u=0}^{U} lambda_{D,u}~ ulambda_{d}} {sumlimits_{u=0}^{U} sumlimits_{d=0}^{D} pi_{d,u}~ (ulambda_{d} +lambda_{u})}.
Given a fixed number of resources, in comparison to a fixed FSO architecture, the proposed architecture reduces the blocking probability further as well as increases the percentage recovery of traffic affected by a single link failure.
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Justyna Jupowicz-Kozak
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