Delay analysis of real-time data dissemination

Gershinsky, Gidon; Harpaz, Avi; Naaman, Nir; Paz, Harel; Shagin, Konstantin

doi:10.1145/1400713.1400748

Cited by 5 publications

(1 citation statement)

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“…The quantification over these four kinds of delays in T d capture the uncertainties of network delay. The way T d is calculated is highly dependent on the model of the network and the environments [3,6,17,44,49,57,58]. The quotient is the quality measure: P r network ∈ (0, 1], where the larger P r network is, the more predictable the network input is.…”

Section: Time Predictability Of Network Inputmentioning

confidence: 99%

Definitions of predictability for Cyber Physical Systems

Sun

Wan

et al. 2016

Journal of Systems Architecture

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With the recent proliferation of different types of Cyber Physical Systems (CPS), it is critically important to investigate the predictability of such systems. Along with functional correctness of the components, these systems must also ensure that timing and delay constraints of components are properly for the entire system to behave in a predictable manner in presence of various kinds of uncertainties. While the functional correctness of the CPS components has been investigated in the past, very little is available about the timing issues. The objective of this paper is to conduct an investigation of key issues involved to ensure the predictability of the system, introduce rigorous definitions of performance parameters, and propose metrics for their evaluation and analyze their suitability to be used in the presence of uncertainties in which CPS operate. The results are expected to provide greater insight into the time critical behavior of CPS components.

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