Design-time verification of component-based embedded systems with respect to extra-functional properties

2011 ◽  
Author(s):  
Juraj Feljan
Keyword(s):  
Embedded Systems ◽  
Functional Properties ◽  
Design Time

A Neuron Library for Rapid Realization of Artificial Neural Networks on FPGA: A Case Study of Rössler Chaotic System

2016 ◽  
Vol 26 (01) ◽  
pp. 1750015 ◽  
Author(s):  
İsmail Koyuncu ◽  
İbrahim Şahin ◽  
Clay Gloster ◽  
Namık Kemal Sarıtekin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Embedded Systems ◽  
Neural Cells ◽  
Activation Functions ◽  
Design Time ◽  
Software Implementations ◽  
Artificial Neural ◽  
Automation Tools

Artificial neural networks (ANNs) are implemented in hardware when software implementations are inadequate in terms of performance. Implementing an ANN as hardware without using design automation tools is a time consuming process. On the other hand, this process can be automated using pre-designed neurons. Thus, in this work, several artificial neural cells were designed and implemented to form a library of neurons for rapid realization of ANNs on FPGA-based embedded systems. The library contains a total of 60 different neurons, two-, four- and six-input biased and non-biased, with each having 10 different activation functions. The neurons are highly pipelined and were designed to be connected to each other like Lego pieces. Chip statistics of the neurons showed that depending on the type of the neuron, about 25 selected neurons can be fit in to the smallest Virtex-6 chip and an ANN formed using the neurons can be clocked up to 576.89[Formula: see text]MHz. ANN based Rössler system was constructed to show the effectiveness of using neurons in rapid realization of ANNs on embedded systems. Our experiments with the neurons showed that using these neurons, ANNs can rapidly be implemented as hardware and design time can significantly be reduced.

scholarly journals Quality attribute trade-offs in the embedded systems industry: an exploratory case study

2019 ◽  
Vol 28 (2) ◽  
pp. 505-534 ◽  
Author(s):  
Darius Sas ◽  
Paris Avgeriou
Keyword(s):  
Embedded Systems ◽  
Ad Hoc ◽  
Quality Attributes ◽  
Tool Support ◽  
Exploratory Case Study ◽  
Design Time ◽  
Trade Offs ◽  
Run Time ◽  
Automated Tools

AbstractThe embedded systems domain has grown exponentially over the past years. The industry is forced by the market to rapidly improve and release new products to beat the competition. Frenetic development rhythms thus shape this domain and give rise to several new challenges for software design and development. One of them is dealing with trade-offs between run-time and design-time quality attributes. To study practices, processes and tools concerning the management of run-time and design-time quality attributes as well as the trade-offs among them from the perspective of embedded systems software engineers. An exploratory case study with two qualitative data collection steps, namely interviews and a focus group, involving six different companies from the embedded systems domain with a total of twenty participants. The interviewed subjects showed a preference for run-time over design-time qualities. Trade-offs between design-time and run-time qualities are very common, but they are often implicit, due to the lack of adequate monitoring tools and practices. Practitioners prefer to deal with trade-offs in the most lightweight way possible, by applying ad-hoc practices, thus avoiding any overhead incurred. Finally, practitioners have elaborated on how they envision the ideal tool support for dealing with trade-offs. Although it is notoriously difficult to deal with trade-offs, constantly monitoring the quality attributes of interest with automated tools is key in making explicit and prudent trade-offs and mitigating the risk of incurring technical debt.

Think: View-Based Support of Non-functional Properties in Embedded Systems

2009 ◽  
Author(s):  
Matthieu Anne ◽  
Ruan He ◽  
Tahar Jarboui ◽  
Marc Lacoste ◽  
Olivier Lobry ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Functional Properties

scholarly journals Development and Evaluation of Collaborative Embedded Systems using Simulation

2020 ◽  
pp. 255-268
Author(s):  
Emilia Cioroaica ◽  
Karsten Albers ◽  
Wolfgang Boehm ◽  
Florian Pudlitz ◽  
Christian Granrath ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Simulation Methods ◽  
New Class ◽  
Design Time ◽  
Collaborative System ◽  
Simulation Techniques ◽  
Unknown Environments ◽  
Strategic Goals ◽  
New Perspective ◽  
Testing And Evaluation

AbstractEmbedded systems are increasingly equipped with open interfaces that enable communication and collaboration with other embedded systems, thus forming collaborative embedded systems (CESs). This new class of embedded systems, capable of collaborating with each other, is planned at design time and forms collaborative system groups (CSGs) at runtime. When they are part of a collaboration, systems can negotiate tactical goals, with the aim of achieving higher level strategic goals that cannot be achieved otherwise. The design and operation of CESs face specific challenges, such as operation in an open context that dynamically changes in ways that cannot be predicted at design time, collaborations with systems that dynamically change their behavior during runtime, and much more. In this new perspective, simulation techniques are crucially important to support testing and evaluation in unknown environments. In this chapter, we present a set of challenges that the design, testing, and operation of CESs face, and we provide an overview of simulation methods that address those specific challenges.

scholarly journals Tool Support for Co-Simulation-Based Analysis

2020 ◽  
pp. 269-282
Author(s):  
Karsten Albers ◽  
Benjamin Bolte ◽  
Max-Arno Meyer ◽  
Axel Terfloth ◽  
Anna Wißdorf
Keyword(s):  
Embedded Systems ◽  
Best Practices ◽  
Tool Support ◽  
Tool Integration ◽  
Simulation Tools ◽  
Design Time ◽  
Simulation Based ◽  
Methodological Aspects ◽  
Context Simulation ◽  
General Tool

AbstractThe development of collaborative embedded systems (CESs) requires the validation of their runtime behavior during design time. In this context, simulation-based analysis methods play a key role in the development of such systems. Simulations of CESs tend to become complex. One cause is that CESs work in collaborative system groups (CSGs) within a dynamic context., which is why CESs must be simulated as participants of a CSG. Another cause stems from the fact that CES simulations cover various cyber-physical domains. The models incorporated are often managed by different tools that are specialized for specific simulation disciplines and must be jointly executed in a cosimulation. Besides the methodological aspects, the interoperability of models and tools within such a co-simulation is a major challenge. This chapter focusses on the tool integration aspect of enabling co-simulations. It motivates the need for co-simulation for CES development and describes a general tool architecture. The chapter presents the advantages and limitations of adopting existing standards such as FMI and DCP, as well as best practices for integrating simulation tools and models for CESs and CSGs.

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