250 research outputs found
Right Scaling for Right Pricing: A Case Study on Total Cost of Ownership Measurement for Cloud Migration
Cloud computing promises traditional enterprises and independent software
vendors a myriad of advantages over on-premise installations including cost,
operational and organizational efficiencies. The decision to migrate software
configured for on-premise delivery to the cloud requires careful technical
consideration and planning. In this chapter, we discuss the impact of
right-scaling on the cost modelling for migration decision making and price
setting of software for commercial resale. An integrated process is presented
for measuring total cost of ownership, taking in to account IaaS/PaaS resource
consumption based on forecast SaaS usage levels. The process is illustrated
with a real world case study
The role of mathematical modeling in VOC analysis using isoprene as a prototypic example
Isoprene is one of the most abundant endogenous volatile organic compounds
(VOCs) contained in human breath and is considered to be a potentially useful
biomarker for diagnostic and monitoring purposes. However, neither the exact
biochemical origin of isoprene nor its physiological role are understood in
sufficient depth, thus hindering the validation of breath isoprene tests in
clinical routine.
Exhaled isoprene concentrations are reported to change under different
clinical and physiological conditions, especially in response to enhanced
cardiovascular and respiratory activity. Investigating isoprene exhalation
kinetics under dynamical exercise helps to gather the relevant experimental
information for understanding the gas exchange phenomena associated with this
important VOC.
A first model for isoprene in exhaled breath has been developed by our
research group. In the present paper, we aim at giving a concise overview of
this model and describe its role in providing supportive evidence for a
peripheral (extrahepatic) source of isoprene. In this sense, the results
presented here may enable a new perspective on the biochemical processes
governing isoprene formation in the human body.Comment: 17 page
A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone
Recommended standardized procedures for determining exhaled lower respiratory
nitric oxide and nasal nitric oxide have been developed by task forces of the
European Respiratory Society and the American Thoracic Society. These
recommendations have paved the way for the measurement of nitric oxide to
become a diagnostic tool for specific clinical applications. It would be
desirable to develop similar guidelines for the sampling of other trace gases
in exhaled breath, especially volatile organic compounds (VOCs) which reflect
ongoing metabolism. The concentrations of water-soluble, blood-borne substances
in exhaled breath are influenced by: (i) breathing patterns affecting gas
exchange in the conducting airways; (ii) the concentrations in the
tracheo-bronchial lining fluid; (iii) the alveolar and systemic concentrations
of the compound. The classical Farhi equation takes only the alveolar
concentrations into account. Real-time measurements of acetone in end-tidal
breath under an ergometer challenge show characteristics which cannot be
explained within the Farhi setting. Here we develop a compartment model that
reliably captures these profiles and is capable of relating breath to the
systemic concentrations of acetone. By comparison with experimental data it is
inferred that the major part of variability in breath acetone concentrations
(e.g., in response to moderate exercise or altered breathing patterns) can be
attributed to airway gas exchange, with minimal changes of the underlying blood
and tissue concentrations. Moreover, it is deduced that measured end-tidal
breath concentrations of acetone determined during resting conditions and free
breathing will be rather poor indicators for endogenous levels. Particularly,
the current formulation includes the classical Farhi and the Scheid series
inhomogeneity model as special limiting cases.Comment: 38 page
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