2015
DOI: 10.1016/j.optcom.2015.03.039
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Statistical analysis of blocking probability and fragmentation based on Markov modeling of elastic spectrum allocation on fiber link

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Cited by 14 publications
(7 citation statements)
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“…δ (S j , Sd ν ) π(S j ), ν = 1, ..., N D (12) In Eq. (12), the function δ (S j , Sd ν ) selects the corresponding fragmented states S j ∈ FB(k) with related rate λ k .…”
Section: Blocking and Security Analysismentioning
confidence: 99%
“…δ (S j , Sd ν ) π(S j ), ν = 1, ..., N D (12) In Eq. (12), the function δ (S j , Sd ν ) selects the corresponding fragmented states S j ∈ FB(k) with related rate λ k .…”
Section: Blocking and Security Analysismentioning
confidence: 99%
“…With the proposed approaches, different parameters are analyzed, such as blocking probability, resource utilization rate and fragmentation rate. Rosa et al present a Markov modelling framework to calculate steady‐state probabilities and to analyse fragmentation related problems under dynamic traffic conditions. The authors investigate how different allocation request sizes contribute to fragmentation and blocking probability.…”
Section: Related Workmentioning
confidence: 99%
“…A similar fairness issue is highlighted in Rosa et al, where it is shown that bandwidth‐consuming connections are characterized by higher blocking probability. Finding larger continuous groups of unoccupied FSs is hard; contiguity exacerbates the situation.…”
Section: Introductionmentioning
confidence: 99%