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Research on Performance Enhancement of Cloud Based on Scheduling and Management Mode

机译:基于调度和管理模式的云性能增强研究

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Job dispatching and resource management are the most import factors which decide the performance of the cloud computing environment. Job dispatching can be devide into User dispatching and Task dispatching based on dispatching model. There are vatious significant issues in resource management, such as maximum computing performance and green computing, aim to accomplish tasks with the lowest cost. Dispatching and management objects must be collected by system statistic information as reference. The Performance Agent and Server Interface Method (PASI) has been collected the row data for the cloud. The commom security technology applied in the cloud are passive defense methods, real-time active monitoring or Deep Packets Inspection (DPI). The main purpose is to realize active inspection and defense. This study proposes an effective framework to enhance comprehensive performance guideline of cloud computing center. The framework is built based on the PASI integrate with DPI module and put forward a job dispatching and resource management module based on safe PASI. Results of the experiment indicate that the model effectively improve the efficiency of the cloud environment.
机译:作业调度和资源管理是决定云计算环境性能的最重要因素。基于调度模型,可以将作业调度分为用户调度和任务调度。资源管理中存在各种重大问题,例如最大的计算性能和绿色计算,旨在以最低的成本完成任务。必须通过系统统计信息收集调度和管理对象作为参考。性能代理和服务器接口方法(PASI)已收集到云的行数据。云中使用的公共安全技术是被动防御方法,实时主动监视或深度数据包检查(DPI)。主要目的是实现主动检查和防御。该研究提出了一个有效的框架,以增强云计算中心的综合性能指南。该框架是在PASI与DPI模块集成的基础上构建的,并提出了基于安全PASI的作业调度和资源管理模块。实验结果表明,该模型有效地提高了云环境的效率。

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