2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010) 2010
DOI: 10.1109/etfa.2010.5641360
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Utilization-based schedulability analysis for switched Ethernet aiming dynamic QoS management

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Cited by 16 publications
(11 citation statements)
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“…This factor should be taken into account when performing the response time analysis. This problem has been consid ered previously in [12] and the proposed solution was to inflate the transmission times of all messages by the per centage of the bandwidth resource availability, i. e. , the in flation factor is ex = (LSW -I)/ EC, where I is the idle time that is used to prevent scheduling window overrun and it is equal to the maximum packet size of messages that have priorities equal or grater than mi. All transmis sion times will be divided by ex, i. e. , OJ = Cj / ex and the response time of mi can be evaluated as follow: …”
Section: Response-time Calculationmentioning
confidence: 99%
“…This factor should be taken into account when performing the response time analysis. This problem has been consid ered previously in [12] and the proposed solution was to inflate the transmission times of all messages by the per centage of the bandwidth resource availability, i. e. , the in flation factor is ex = (LSW -I)/ EC, where I is the idle time that is used to prevent scheduling window overrun and it is equal to the maximum packet size of messages that have priorities equal or grater than mi. All transmis sion times will be divided by ex, i. e. , OJ = Cj / ex and the response time of mi can be evaluated as follow: …”
Section: Response-time Calculationmentioning
confidence: 99%
“…Therefore, an inflation factor should be taken into account when performing the response time analysis. This issue has been considered previously in [24] and the proposed solution was to inflate the transmission time of the message by a percentage of the bandwidth availability.…”
Section: Algorithm 1 Response Time Calculation For M Imentioning
confidence: 99%
“…For example, resource management and load balance can affect the performance of parallel software greatly [15] [16]. These attributes somewhere referred as QoS (Quality of Service) [9] [10], are orthogonal to the scientific functions of parallel components. We defined these attributes as non-functional attributes of parallel component.…”
Section: Extended Component Architecturementioning
confidence: 99%
“…But some attributes of parallel components orthogonal to the scientific function need to be paid more attention. These attributes are somewhere referred as QoS (Quality of Service) [9] [10]. Sometimes, they can affect the performance of parallel components.…”
Section: Introductionmentioning
confidence: 99%