为提高庞大且复杂数据的处理速度和降低成本, 将应用由原来高端的服务器转向了由中低端硬件构成的机群平台, 即松耦合多处理机系统。在松耦合多处理机系统中利用集中式工作池技术和分布式工作池技术, 及时给系统中处于空闲状态的处理器分派工作任务。仿真实验表明, 该系统与非工作池方式的多处理机系统相比, 提高了大数据的处理速度。
In order to improve the data processing speed and reduce costs,many business users have turned from a high-end server platform to low-end hardware (i.e.loosely coupled multiprocessor systems).We propose a loosely coupled multiprocessor system using a centralized work pool and distributed work pool technology in a timely manner to assign work tasks to idle processors.Through simulation experiments,large data processing speed has been efficiently improved compared with non-work pool multiprocessor system.