A design process of switched Ethernet architectures according to real-time application constraints

Abstract

Ethernet networks are based on a medium access method which is not deterministic. The use of such networks in factory environments (which are strongly time constraints) can absolutely not guarantee that the applications requirements will be respected. This paper presents a method based on genetic algorithms to minimize end-to-end delays by providing a good distribution of the devices on the network switches. The objective function is defined by using the network calculus which is a deterministic theory and enables to determine bounded delays. In this paper, a case study is described : theoretical results are verified by a real experimentation and compared with results obtained with a network simulator.

Formal verification of redundant media extension of Ethernet PowerLink

“…The ability to mix copper and optic fiber media is also necessary. It implies that topology cannot be optimized like proposed in [7].…”

Evolving Robust Networks for Systems-of-Systems

“…The requirements we are concerned with are (a) the ability of each safety-related service to work at all (to make the connections that it needs) and (b) for such services to get a tolerable level of network latency (each service specifies a maximum endto-end delay that is acceptable to it). We follow Georges et al [11] in treating the latency specification as a hard deadline which must not be exceeded.…”

“…Georges et al [10,11] use network calculus as a tool to evaluate the performance of switched networks. In [11] they couple network calculus with a genetic algorithm to create a network configuration that is capable of meeting a requirement under worst case performance.…”

“…In [11] they couple network calculus with a genetic algorithm to create a network configuration that is capable of meeting a requirement under worst case performance. However, this work takes no account of the robustness of the network created (its resilience to failures and disruptions).…”

Communications reliability analysis in networked embedded systems

“…The results of these works are methods to assess time performances (Marsal 2007) (Georges, Krommenacker, Divoux, & Rondeau 2006) (Bauer, Scharbarg, & Fraboul 2010) or reliability (Ghasemzadeh, Meinel, & Khanji 2008) of these systems. This paper focuses only on this latter feature, which is a fundamental dependability attribute when the network is embedded in a critical system.…”