A Fuzzy Cuckoo-Search Driven Methodology for Design Space Exploration of Distributed Multiprocessor Embedded Systems

2013 ◽  
pp. 131-150 ◽  
Author(s):  
Shampa Chakraverty ◽  
Anil Kumar
Keyword(s):  
Embedded Systems ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Cuckoo Search ◽  
Multiprocessor Embedded Systems

scholarly journals Model-Driven Design-Space Exploration for Software-Intensive Embedded Systems

2013 ◽  
pp. 189-244 ◽  
Author(s):  
Twan Basten ◽  
Martijn Hendriks ◽  
Nikola Trčka ◽  
Lou Somers ◽  
Marc Geilen ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Model Driven ◽  
Software Intensive

Design Space Exploration for High Availability drFPGA Based Embedded Systems

2012 ◽  
pp. 234-243 ◽  
Author(s):  
S. Chakraverty ◽  
Anubhav Agarwal ◽  
Amogh Agarwal ◽  
Anil Kumar ◽  
Abhinav Sikri
Keyword(s):  
Embedded Systems ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
High Availability

Optimization Algorithms for Design Space Exploration of Embedded Systems

2011 ◽  
pp. 51-74
Author(s):  
Enrico Rigoni ◽  
Carlos Kavka ◽  
Alessandro Turco ◽  
Gianluca Palermo ◽  
Cristina Silvano ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Optimization Algorithms

Model-Driven Design-Space Exploration for Embedded Systems: The Octopus Toolset

2010 ◽  
pp. 90-105 ◽  
Author(s):  
Twan Basten ◽  
Emiel van Benthum ◽  
Marc Geilen ◽  
Martijn Hendriks ◽  
Fred Houben ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Model Driven

scholarly journals A Case for Security-Aware Design-Space Exploration of Embedded Systems

2020 ◽  
Vol 10 (3) ◽  
pp. 22
Author(s):  
Andy D. Pimentel
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Systems Design ◽  
Design System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Trade Offs

As modern embedded systems are becoming more and more ubiquitous and interconnected, they attract a world-wide attention of attackers and the security aspect is more important than ever during the design of those systems. Moreover, given the ever-increasing complexity of the applications that run on these systems, it becomes increasingly difficult to meet all security criteria. While extra-functional design objectives such as performance and power/energy consumption are typically taken into account already during the very early stages of embedded systems design, system security is still mostly considered as an afterthought. That is, security is usually not regarded in the process of (early) design-space exploration of embedded systems, which is the critical process of multi-objective optimization that aims at optimizing the extra-functional behavior of a design. This position paper argues for the development of techniques for quantifying the ’degree of secureness’ of embedded system design instances such that these can be incorporated in a multi-objective optimization process. Such technology would allow for the optimization of security aspects of embedded systems during the earliest design phases as well as for studying the trade-offs between security and the other design objectives such as performance, power consumption and cost.

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