Sources of IIU | Effect | Dealing with IIU |
---|---|---|
High complexity of the routing problem | Inaccuracy (the | Different mechanisms of the heuristic |
P-M2-S2 | solutions are | resolution in its present version (HMOR-S2 PAS) |
inherently | ||
approximate) | ||
Simplifications and approximations | Imprecision | The focus is on the relative value of the results |
assumed in the stochastic model for | of the traffic model; small differences between o.f. | |
the traffic in the links, leading to an | values can be disregarded when comparing solutions | |
approximate model, unavoidable for | (this is a achieved by using adequate numerical traffic | |
computational tractability reasons | calculation procedures); scenario evaluation with | |
different traffic matrices | ||
Instability phenomenon potentially | Imprecision | Criterion for choosing candidate paths for possible |
arising in the path selection procedure | and uncertainty | routing improvement, embedded in the main |
if the MMRA-S2 is applied successively to | heuristic ‘optimization’ cycle | |
all the end-to-end flows of each | ||
service type | ||
Numerical errors in the calculations of | Imprecision | ‘Robust’ and well-tested numerical algorithms |
marginal implied costs and blocking | (namely the Kaufman/Roberts algorithm and | |
probabilities of all the flows, propagating | fixed-point iterators) | |
throughout the resolution procedure | ||
Stochastic nature of the traffic offered | External | Periodical update of traffic flows means via a |
to the network | uncertainty | statistical estimate (first-order moving average) |
based on real-time measurements; sensitivity/ | ||
robustness analysis; scenarios evaluation. | ||
Uncertainties in the identification | Specific form | Definition of dynamic preference thresholds |
of the ‘virtual decision maker’ in a | of internal | in the o.f. space, combined with the use |
fully automated decision application | uncertainty | of reference points |
environment |