scholarly journals Applying Trajectory approach for computing worst-case end-to-end delays on an AFDX network

2011 ◽  
Vol 15 ◽  
pp. 2555-2560 ◽  
Author(s):  
Ning Hu ◽  
Tangqi Lv ◽  
Ning Huang
Keyword(s):  
Worst Case ◽  
Trajectory Approach ◽  
End To End

scholarly journals Analysing AFDX Networks Using End-to-end Response Time Analysis

2013 ◽  
Vol 14 (04) ◽  
pp. 1350017
Author(s):  
MAGNUS JONSSON ◽  
KRISTINA KUNERT ◽  
ANDERS KALLERDAHL
Keyword(s):  
Response Time ◽  
Good Choice ◽  
Full Duplex ◽  
Response Time Analysis ◽  
Time Analysis ◽  
Worst Case ◽  
Delay Bounds ◽  
Real Time Analysis ◽  
Trajectory Approach ◽  
End To End

In this paper, we present a novel real-time analysis framework for AFDX (Avionics Full Duplex Switched Ethernet) networks. The framework, based on end-to-end response time analysis, calculates not only delay bounds, but also the maximum jitter for each VL (Virtual Link) at each hop, which is necessary according to the AFDX standard. Moreover, the framework supports multicasting, i.e., VLs with several paths, and VLs with arbitrary delay bounds, i.e., shorter, longer, or equal to their periods. An analysis method to calculate the worst-case buffer population is included in the framework, as it is important to guarantee that no buffer-overflow occurs. With a performance surpassing that of Network Calculus and comparable with Trajectory Approach, our framework presents a good choice due to its many features and its foundation in well-accepted analysis methods.

scholarly journals A Revised Trajectory Approach for the Worst-Case Delay Analysis of an AFDX Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 142564-142573
Author(s):  
Xueqian Tang ◽  
Qiao Li ◽  
Guangshan Lu ◽  
Huagang Xiong
Keyword(s):  
Delay Analysis ◽  
Worst Case ◽  
Trajectory Approach

Moving towards a fully probabilistic, end-to-end, impact-based, flood forecasting and warning system

2020 ◽  
Author(s):  
Charlie Pilling
Keyword(s):  
Warning System ◽  
Flood Forecasting ◽  
Incident Management ◽  
Probabilistic Forecasting ◽  
Worst Case ◽  
Forecasting System ◽  
End To End ◽  
Forecasting And Warning ◽  
Environment Agency ◽  
The Uk

<p>Set up in 2009, the UK Flood Forecasting Centre (FFC), is a successful partnership between the Environment Agency and the Met Office to provide national, operational, flood risk guidance. At the same time, we have a development programme to continuously improve flood forecasting. Operational for over a decade, the FFC has a strong portfolio and reputation amongst its users and customers. For example, the 2019 Responder Survey reported that 94% of those who have had contact with the FFC within the last 12 months are satisfied with the services provided.  </p><p>High impact, low probability events have been a feature of the first 10 years of the Flood Forecasting Centre. Probabilistic forecasting and risk-based approaches provide approaches to identify, forecast and warn for such events. Indeed, whilst these are currently successfully employed by various National Meteorological Hydrological Centres, there is also recognition (for example, World Meteorological Organisation) that effective forecasting and warning systems should be:</p><ul><li>‘<strong>impact-based’</strong>;</li> <li>driven by ensembles or realistic scenarios through an <strong>‘end-to-end’</strong> system (rather than precipitation ranges being simplified);</li> <li>more <strong>objective</strong>, so using new tools such as ensemble ‘sub-setting’, pattern recognition and machine learning to extract most value.</li> </ul><p>The Environment Agency is implementing a new Delft-FEWS forecasting system this year, termed Incident Management Forecasting System (IMFS). This will introduce a step change in capability for probabilistic impact-based forecasting. Initially, rainfall and coastal scenarios (termed ‘best-estimate’ and ‘reasonable worst case’) will be used to drive end-to-end forecasting, which includes for example impact data bases for property, infrastructure and communities. This is very much a stepping stone in the technical (systems) and adaptive (people, culture) transformation to a <strong>fully probabilistic, end-to-end, impact-based, flood forecasting. </strong></p><p>I will share some of our recent approaches to:</p><ul><li>objective, ensemble based, forecasting, including the Natural Hazards Partnership surface water hazard impact model (driven by the Met Office MOGREPS precipitation ensembles) which goes live this year;</li> <li>scenario generation and ensemble sub-setting to provide input to end-to-end, impact-based forecasting (IMFS);</li> <li>next steps in moving to a fully probabilistic, end-to-end, impact-based, flood forecasting and warning system</li> </ul><p>I will also highlight some of our current challenges that we would love to work with others to solve.</p>

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