企业,特别是在制造业以及金融业已经认知到分布式智能计算技术可以应用到十分广泛的层面,包括数据挖掘、金融经济预测、以及模式化仿真。这新一浪的分布式计算工具集中在释放被投闲置散的计算机计算能力,以其来处理天文数字的巨型庞大数据,把数据加以咀嚼研磨;分布式智能计算技术的工作原理其实十分简单易明,只不过是把所有系统内的计算能力加以充分利用,不管系统的主人使用者在做什么,是睡觉、在开会或是在用餐。利用分布式智能计算方案,总计算能力可以是级数式递增。举个例子,如果公司里面的办公室系统有着2,000多台比较旧型的166MHz 的桌面计算机,但同时也有着100多台的比较新型的1GHz 的服务器的话,把他们的计算能力总和加起来的话就可以是240GigaFlops(1个 GigaFlops 等于每一秒钟计算 Businesses, especially in the manufacturing and financial industries, have recognized that distributed intelligent computing technologies can be applied to a very wide range of topics including data mining, financial and economic forecasting, and modeling simulation. This new wave of distributed computing tools has focused on freeing scattered computing power to handle astronomical giant huge data and chew data; distributed intelligent computing technology works in a very easy The idea is to take full advantage of the computing power of all systems, regardless of what the system’s owner user is doing, sleeping, meeting or eating. The use of distributed intelligent computing solutions, the total computing power can be incremental. For example, if the company’s office system has more than 2,000 older 166MHz desktop computers and more than 100 newer 1GHz servers, adding up their computing power may be 240GigaFlops (1 GigaFlops equals every second count