| Abstract [eng] |
The purpose of this master thesis was to develop a methodology, which would assure an efficient way to use computing grids for computer models modeling biocatalytic processes. After researching possibilities to use computing grids for modeling of such processes, a methodology was presented, which can be used independently of grid middleware. Methodology was implemented on BalticGrid. By applying this methodology biocatalytic processes in biosensors were investigated. Operation of biosensor is described with mathematical model, which in general case is solved with computer model. Computer models of biosensors are commonly parameterized, and in most cases same problem is being solved only with different set of parameters. Such processes can be solved by using computational grids. Methodology presented in this paper was used to compare quasi steady state and detailed models of chemically modified biosensors. After examining methodology presented in this paper it was proved that this methodology can be used efficiently to research biocatalytic processes. Effectiveness of applying this methodology in concrete computational grid was estimated and suggestions were presented how to apply this methodology in an efficient way. |
