Performance evaluation of switched Ethernet for real-time industrial communications

Lee, Kyung Chang; Lee, Suk

doi:10.1016/s0920-5489(02)00070-3

Cited by 108 publications

(35 citation statements)

References 10 publications

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“…The second kind of evaluation method aims to evaluate the performances of a system during its running phase, i.e. when it already exists, and consequently it consists of measurements [11], [6].…”

Section: Introductionmentioning

confidence: 99%

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Denis

Ruel

Faure

et al. 2007

2007 IEEE Conference on Emerging Technologies &Amp; Factory Automation (EFTA 2007)

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Section: Introductionmentioning

confidence: 99%

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Denis

Ruel

Faure

et al. 2007

2007 IEEE Conference on Emerging Technologies &Amp; Factory Automation (EFTA 2007)

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“…The reactivity of NAS or the response time is the delay between the date of generation of an event by a sensor and the date of arrival of its consequence, issued by a controller, to an actuator. A number of investigations have been undertaken to assess delays caused by networks but they are in their majority limited to the delays experienced while crossing the communication network and ignore the field devices effects [2], [3], [4], [5], [6], [7]. Among the investigations that consider the whole NAS, we find methods based on models simulation [8], [9], [10], others based on model checking [11], [12] and obviously experimental methods [13].…”

Section: Introductionmentioning

confidence: 99%

Client-Server Networked Automation Systems Reactivity: Deterministic and Probabilistic Analysis

Addad

Amari

Lesage

2011

IEEE Trans. Automat. Sci. Eng.

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-In this paper, we present an analytic approach to evaluate the reactivity of client-server networked automation systems (NAS). Both deterministic and probabilistic analyses are provided while modeling the NAS using Timed Event Graphs (TEG). Since many results with regard to the deterministic approach have already been published, we recall only its main steps that prove useful while exposing the probabilistic method. Thereby, we provide the density of probability distribution of the response time (or reactivity) using the probability densities of the local delays, experienced at the different stages of the NAS. Furthermore, a case study is presented to compare the results of the study to measures taken from a real platform.Note to Practitioners-As a matter of fact, client-server networked automation systems are largely used in industry and therefore the efforts to deal with their performances evaluation are necessary. In the current work, we propose an analytic approach to evaluate their reactivity. Analytic formulae are provided to calculate directly and deterministically the bounds of response time along with others to assess its probability density distribution. Moreover, the results of these formulae turn out to be complying with a lot of experimental measurements carried out under different circumstances.

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“…With such a protocol therefore, resource scheduling is unavailable and considerable delays due to unsynchronized or unavailable resources are caused, complicating the evaluation of message delay encountered in each system component and consequently impeding an evaluation of the entire system response time. A number of research efforts have been undertaken to assess these NAS delays through the use, for example, of widely-accepted network calculus [3], [4], [5], worst case methods [6], [7] and simulation [8], [9]. Like the majority of studies however, these efforts have focused on just the end-to-end delays or network effect and neglect both the controllers (e.g.…”

Section: Introductionmentioning

confidence: 99%

Analytic Calculus of Response Time in Networked Automation Systems

Addad¹,

Amari²,

Lesage³

2010

IEEE Trans. Automat. Sci. Eng.

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-This paper presents a novel approach to evaluate the response time in networked automation systems (NAS) that use a client/server protocol. The developments introduced are derived from modeling the entire architecture in the form of timed event graphs (TEGs), as well as from the resulting state representation in Max-Plus algebra. The various architectural stages are actually modeled in a very abstract pattern, which yields just those TEG models where local delays are sufficient to perform the overall evaluation. In this manner, linear Max-Plus equations are obtained. A thorough analysis of these equations has led to analytical formulas for direct calculus of NAS response time. As a final step, experimental measurements taken on a laboratory facility have been used to verify the validity of the results. In conclusion, the benefit and effectiveness of this novel method have been demonstrated.Note to Practitioners-In this work, we present an overall study of networked automation systems working according to client/server paradigm. Unlike systems where a global scheduling of the shared resources is available and the delays well handled, in such systems it is not the case and the investigations to evaluate their real-time performances are required. Actually, these systems are very present in industry but the efforts to deal with this issue are rare and often informal, based on simulation of particular cases. In our work, we assess a major criterion of their time performances, the response time. We give a formal evaluation of this feature through an analytic approach. The results we present are generic and fit the experimental observations in different cases.

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Performance evaluation of switched Ethernet for real-time industrial communications

Cited by 108 publications

References 10 publications

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Client-Server Networked Automation Systems Reactivity: Deterministic and Probabilistic Analysis

Analytic Calculus of Response Time in Networked Automation Systems

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