云计算环境下资源调度系统设计与实现

在云计算环境下,对开放的网络大数据库信息系统中的数据进行优化调度,提高数据资源的利用效率和配置优化能力。传统的资源调度算法采用资源信息的自相关匹配方法进行资源调度,当数据传输信道中的干扰较大及资源信息流的先验数据缺乏时,资源调度的均衡性不好,准确配准度不高。提出一种基于云计算资源负载均衡控制和信道自适应均衡的资源调度算法,并进行调度系统的软件开发和设计。首先构建了云计算环境下开放网络大数据库信息资源流的时间序列分析模型,采用自适应级联滤波算法对拟合的资源信息流进行滤波降噪预处理,提取滤波输出的资源信息流的关联维特征,通过资源负载均衡控制和信道自适应均衡算法实现资源调度改进。仿真结果表明,采用资源调度算法进行资源调度系统的软件设计,提高了资源调度的信息配准能力和抗干扰能力,计算开销较小,技术指标具有优越性。

Design and Implementation of Resource Scheduling System in Cloud Computing Environment

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.