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In the cloud computing environment, the data of the open network large database information system is optimized to improve the efficiency of data resource utilization and configuration optimization. Information resources of autocorrelation matching method for resource scheduling, when the lack of data transmission channel in large disturbance and resource information flow of the prior data using traditional resource scheduling algorithm, scheduling resource balance is not good, accurate alignment degree is not high. A resource scheduling algorithm based on cloud computing resources load balancing control and channel adaptive equalization is proposed, and the software development and design of the scheduling system is proposed. First constructed in the cloud computing environment open network database information resource stream time series analysis model, adaptive cascade filtering algorithm using filtering and denoising preprocessing flow on the fitting of information resources, extraction filter output information flow characteristics of correlation dimensions, resources load balancing control and channel adaptive equalization algorithm to achieve an improvement in resource scheduling. The simulation results show that the resource scheduling algorithm software design of system resource scheduling, improve the resource scheduling information registration ability and anti-interference ability, low computational overhead, technical indicators has superiority.