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Primary areas to investigate will be the effect of codon optimization, the utility of other selection markers, and cassette development for other useful tags such as the FRET partners YFP and CFP.
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The main objective of the adaptive framework is the optimization of the utility for a specific job which is achieved by adaptive configuration of these layers.
In this work, an approach towards an adaptive configuration of the Cloud stack regarding the optimization of the utility for a specific job is described.
One point that should be stressed is that the above decision is based on the short-term optimization of the utility value but does not consider the long-term utility value accumulation that can result from utility values of overload states that are less than live migration SLA violation penalties but over time can accumulate to bigger values.
Game theory, as a powerful mathematical tool, helps to solve such an optimization problem where the utility function is the EE which is a function of the users powers.
The main contribution of this paper is that we demonstrate by development of the time scale control method and the application within the Meppel case that the number of variables and equations which are part of the large-scale optimization problem on the utility level can be reduced considerably while the control objective of minimizing the peak consumption is still reached.
Following seeding optimization, we compared the utility of (i) KO-DMEM plus KO-SR, supplemented with LIF and (ii) GMEM supplemented with serum and LIF to support expansion of pluripotent mESCs on three types of microcarrier.
The system optimization with accordance to the utility theory is based on case-specific utility functions.
The approach uses utility-based resource management and QoS architecture enabling an optimization system where only the utility function has to be changed for new applications.
On average, the proposed optimization manages to increase the utility by a factor of more than 2 compared to the EEP solution.
Huang [15] studies the utility optimization problem in energy harvesting networks under limited average network congestion constraint and develops a close-to-optimal algorithm using the Lyapunov optimization theory, which jointly manages the power allocation and the data access control.
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