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Analyzing the Efficiency of Sporadic Reservations on Ethernet with FTT-SE

Iqbal, Z. ; Almeida, L. ; Ashjaei, M.

Analyzing the Efficiency of Sporadic Reservations on Ethernet with FTT-SE, Proc Emerging Technologies & Factory Automation , Limassol, Cyprus, Vol. , pp. - , September, 2017.

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Abstract
Ethernet is a promising candidate for networking
real-time embedded systems such as automobiles, and it is already used in several embedded scopes, such as airplanes and trains.
Moreover, its higher bandwidth enables applications made of dispersed embedded systems that exchange large amounts of data through the so-called Internet-of-Things, such as wide-area video sensing. In this realm, network reservations are an important design element that favor composability in the time domain thereby supporting the design of complex systems.
However, reservations may impact negatively on the network bandwidth efficiency due to over-specification, particularly when they are designed to meet worst-case delay constraints. In this work, we use a specific Ethernet protocol that provides real-time reservations, namely FTT-SE, and we assess through extensive
simulations the efficiency of a worst-case network delay analysis for sporadic reservations associated to asynchronous messages.
Essentially, we compare the analytical worst-case delay with the one observed in the simulations using two data sets comprising
up to 20000 and 100000 message sets, respectively, and we change the system configuration, namely properties of the message sets and network and protocol configuration parameters. We find that the analysis is accurate, i.e. matches observations, for a significant percentage of messages in the message sets (up to 60% on average). Conversely, we found that a small percentage of message sets (below 6%) generated rather pessimistic analytic
estimates exceeding the observations by 6 times, thus with a negative impact on efficiency. The results we present in the paper, particularly their distributions, inform system designers of how
to tune their designs to improve network bandwidth efficiency under strict timing constraints.