11 research outputs found
Designing reliable cyber-physical systems overview associated to the special session at FDL’16
CPS, that consist of a cyber part – a computing system – and a physical part – the system in the physical environment – as well as the respective interfaces between those parts, are omnipresent in our daily lives. The application in the physical environment drives the overall requirements that must be respected when designing the computing system. Here, reliability is a core aspect where some of the most pressing design challenges are: • monitoring failures throughout the computing system, • determining the impact of failures on the application constraints, and • ensuring correctness of the computing system with respect to application-driven requirements rooted in the physical environment. This paper provides an overview of techniques discussed in the special session to tackle these challenges throughout the stack of layers of the computing system while tightly coupling the design methodology to the physical requirements.</p
The Three-Machine No-Wait Flow Shop Is NP-Complete
The three-machine, minimum makespan, permutation flow shop with no walt in process Is shown to be NP-hard in the strong sense. This settles a well-known open question in scheduling theory
Quantitative analysis of mouse urine volatiles: in search of MHC-dependent differences.
Genes of the major histocompatibility complex (MHC), which play a critical role in immune recognition, influence mating preference and other social behaviors in mice. Training experiments using urine scent from mice differing only in the MHC complex, from MHC class I mutants or from knock-out mice lacking functional MHC class I molecules (beta2m-deficient), suggest that these behavioral effects are mediated by differences in MHC-dependent volatile components. In search for the physical basis of these behavioral studies, we have conducted a comparison of urinary volatiles in three sub-strains of C57BL/6 mice, a beta2m-deficient mutant lacking functional MHC class I expression and two unrelated inbred strains, using the technique of sorptive extraction with polydimethylsiloxan and subsequent analysis by gas chromatography/mass spectrometry. We show (i) that qualitative differences occur between different inbred strains but not in mice with the C57BL/6 background, (ii) that the individual variability in abundance in the same mouse strain is strongly component-dependent, (iii) that C57BL/6 sub-strains obtained from different provenance show a higher fraction of quantitative differences than a sub-strain and its beta2m-mutant obtained from the same source and (iv) that comparison of the spectra of beta2m mice and the corresponding wild type reveals no qualitative differences in close to 200 major and minor components and only minimal differences in a few substances from an ensemble of 69 selected for quantitative analysis. Our data suggest that odor is shaped by ontogenetic, environmental and genetic factors, and the gestalt of this scent may identify a mouse on the individual and population level; but, within the limits of the ensemble of components analysed, the results do not support the notion that functional MHC class I molecules influence the urinary volatile composition
Designing Reliable Cyber-Physical Systems
Cyber-physical systems, that consist of a cyber part a computing System and a physical part the system in the physical environment as well as the respective interfaces between those parts, are omnipresent in our daily lives. The application in the physical environment drives the overall requirements that must be respected when designing the computing system. Here, reliability is a core aspect where some of the most pressing design challenges are:
*monitoring failures throughout the computing system,
*determining the impact of failures on the application constraints, and
*ensuring correctness of the computing system with respect to application-driven requirements rooted in the physical environment.
*This chapter gives an overview of the state-of-the-art techniques developed within the Horizon 2020 project IMMORTAL that tackle these challenges throughout the stack of layers of the computing system while tightly coupling the design methodology to the physical requirements. (The chapter is based on the contributions of the special session Designing Reliable Cyber-Physical Systems of the Forum on Specification and Design Languages (FDL) 2016.