A Multi-Query Optimization Algorithm Based on the Data Flow Processing Model
The current data processing is more and more complex,and the number of data increases more and more quickly.So the data flow processing model can process this effectively.The model is used for the main on-line and real-time data processing,which needs the timely returned results of the data processing.A new multi-query optimization algorithm called INCO is proposed based on the model,and the algorithm operates simply and does not involve other queries.The experiments prove that the algorithm is obviously better than other algorithms in connection queries.
Although MFA and MPA techniques have been mainly used for metabolic engineering [1], they may also be useful in other phases of the bioprocess development cycle, namely for advanced bioreactor monitoring and control [2,3]. A number of methods have been developed to study the structure of biochemical networks. From a process optimisation and control point of view, the elementary flux modes (EFMs) method is particularly attractive since it reduces network complexity to a minimal set of reactions. EFMs are unique for a given network and can be considered as nondecomposable steady state flux distributions using a minimal set of reactions.