Publication | Closed Access
Perspectives on network calculus
98
Citations
40
References
2012
Year
Unknown Venue
Network ScienceGraph TheoryEngineeringNetwork Traffic ControlStatistical Multiplexing GainStochastic NetworkNetwork CalculusNetwork AnalysisAcm Sigcomm 2006Network ModelProbabilistic ComputationProbability TheoryComputer ScienceNetwork TheoryUnderlying ProbabilitiesNon-deterministic Game
ACM Sigcomm 2006 published a paper [26] which was perceived to unify the deterministic and stochastic branches of the network calculus (abbreviated throughout as DNC and SNC) [39]. Unfortunately, this seemingly fundamental unification---which has raised the hope of a straightforward transfer of all results from DNC to SNC---is invalid. To substantiate this claim, we demonstrate that for the class of stationary and ergodic processes, which is prevalent in traffic modelling, the probabilistic arrival model from [26] is quasi-deterministic, i.e., the underlying probabilities are either zero or one. Thus, the probabilistic framework from [26] is unable to account for statistical multiplexing gain, which is in fact the raison d'être of packet-switched networks. Other previous formulations of SNC can capture statistical multiplexing gain, yet require additional assumptions [12], [22] or are more involved [14], [9] [28], and do not allow for a straightforward transfer of results from DNC. So, in essence, there is no free lunch in this endeavor.
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