LBFA: A LOAD-BALANCED AND FRAGMENTATION-AWARE RESOURCE ALLOCATION ALGORITHM IN SPACE-DIVISION MULTIPLEXING ELASTIC OPTICAL NETWORKS

LBFA: A Load-Balanced and Fragmentation-Aware Resource Allocation Algorithm in Space-Division Multiplexing Elastic Optical Networks

We consider a space-division multiplexing elastic optical network (SDM-EON) product that supports super-channels (SChs).A Sch comprises a set of contiguous frequency slots on multiple cores in a multi-core fiber.The problem of finding a lightpath using SChs involves routing, modulation, spectrum and core assignment (RMSCA).To minimize the request b

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Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study

Objectives To develop and validate tests to assess the risk of any cancer for patients referred to the NHS Urgent Suspected Cancer (2-week wait, 2WW) clinical pathways.Setting Primary and secondary care, one participating regional centre.Participants Retrospective analysis of data from 371 799 consecutive 2WW referrals in the Leeds region from 2011

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Remarks on Dynamic Monopolies with Given Average Thresholds

kicker pro comp 10 Dynamic monopolies in graphs have been studied as a model for spreading processes within networks.Together with their dual notion, the generalized degenerate sets, they form the immediate generalization of the classical notions of vertex covers and independent sets in a graph.We present results concerning dynamic monopolies in gr

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