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The B-dot equation is an extended form of the Debye-Huckel equation and was used in this study because it can be applied to NaCl based solutions with high ionic strengths (3 molal) over a wide range of temperature.
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Moreover, individual based solutions with a longer genome (coding for the solution) cannot persist under such severe mutation rates and the individual based solutions will be lost completely or recoded to a shorter solution.
However, the greater the XG concentration brought about base solution with higher viscosity, the more difficult it became to generate stable CGA.
The diversity of attainable genomes, coding for an individual based solution, decreases under higher mutation rates.
In comparing this technique to the network-condition based solutions, a significant performance gain is seen with the tradeoff resulting in an increased handover delay due to the high complexity of the solution [5].
Only under higher mutation rates, the ecosystem based solutions become a stable evolutionary attractor.
We showed that under high mutation rates our system does switch from individual based solutions to-wards the generation of an ecosystem based solution.
When an individual based solution cannot be attained due to high mutation rates, spatial structuring of the ecosystem can accommodate the evolution of ecosystem based solutions.
High-availability system solutions can be divided into two categories, namely hardware based and software based solutions.
Hardware and software based solutions are available.
We study how such a system copes with high mutation rates, ie. whether an ecosystem based solution can replace an individual based solution when the latter is not attained.
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