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Figure 4: Decrease of failure rate 7. CONCLUSION

Figure 4 Decrease of failure rate 7. CONCLUSION

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Figure 2. AC Scheme Proposed Comparing to classical scheme, when traffic is busy as mentioned in figure 1, we propose adaptations according to request group and type. We preempt resources from serv ices having the most relative utility in GB R (RUgBR=[GBRserveq/GBRs_a]). unlike existing work [11] which preempt resources from lo west priority service, we prempt resources from hig hest RUcppr service.
Figure 2. AC Scheme Proposed Comparing to classical scheme, when traffic is busy as mentioned in figure 1, we propose adaptations according to request group and type. We preempt resources from serv ices having the most relative utility in GB R (RUgBR=[GBRserveq/GBRs_a]). unlike existing work [11] which preempt resources from lo west priority service, we prempt resources from hig hest RUcppr service.
Figure 3. Improvement of blocking rate With our solution algo2 and algo3, the figure 3 shows decrease in blocking rate, figure 4 presents improvement of outage rate and figure 5 indicates improvement in system dependability .
Figure 3. Improvement of blocking rate With our solution algo2 and algo3, the figure 3 shows decrease in blocking rate, figure 4 presents improvement of outage rate and figure 5 indicates improvement in system dependability .
Related topics:
Artificial IntelligenceBiomedical EngineeringGenetic Fuzzy SystemsFuture of artificial intelligenceElectronics and biomedical engineeringArtificial Intelligence and LawFuzzy and Neuro-Fuzzy SystemsPhilosophy of Artificial IntelligenceAdaptive Neuro-Fuzzy Inference Systems
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