数据密集型的英文

• data-intensive

• 数据    data; record; information
• 地图数据密集区    mablack clouds
• 密集型    knowledge-intensive; network-intensive
• 票据密集交收    paper intensive settlement
• 读密集型    read-intensive
• 技术密集型    skill-inte ive; skill-intensive; technology intensive; technology-intensive type
• 科技密集型    wissenschafts- und technikintensiv
• 劳动密集型    arbeitsintensiv; labor inte ive; labor intensive; labor-intensive
• 密集型产业    intensive / knowledge-intensive industries
• 密集型分销    inte ivedistribution; intensive distribution
• 写密集型    write-intensive
• 知识密集型    concentration of brain power knowledge-intensive; knowledge technology intensive
• 智力密集型    concentration of brain power knowledge-intensive; concentration of brain power; knowledge-intensive; knowledge-intensive / concentration of brain power
• 资本密集型    capital-intensive; technology knowledge or capital intensive; technology, knowledge or capital intensive
• 数据密匙    data encryption key
• 数据密度    data de ity; data density; packing de ity; packing density
• 数据密钥    dek data encryption key
• 劳动力密集型    labor-intensive
• 能源密集型的    energy-intensive
• 知识密集型的    knowledge-intensive
• 数据密度选择    dds data density select
• 出口密集型产业    export intensive industry; export-intensive industry
• 技术密集型产品    skill-intensive product; technological-intensive product; technology-intensive product
• 技术密集型产业    skill-intensive industry; technology-intensive industries; technology-intensive industry
• 技术密集型工业    high technology industry; technology intensive industry

• As internet technology is widely applied , a variety of disciplines , especially data - intensive and computing - intensive applications , require the analytic and collaborative ability more and more highly . therefore , grid computing technology is put forward . in grid technology , schedule algorithm is the hotspot in numerous research domains
  由于internet技术的广泛应用,各门学科应用特别是数据密集型、计算密集型的应用对广域网络中海量数字信息分析处理和协同合作能力的要求越来越高,为此人们提出网格计算技术,在网格技术中调度算法是众多研究领域中的热点。
• The development of the internet and communication equipment has enabled new applications which include : finance analysis , network monitoring , telecommunication data management , sensor networks , etc . in these applications , the data which we called data stream is multidimensional , continuous , rapid , and time - varying , which should not only meet the needs of traditional ad - hoc query , but also continuous one for special
  随着网络的发展,通讯设备的普及,一种新的数据密集型应用逐渐浮出水面,这主要包括:金融分析、网络监控、通讯数据管理、传感器网络数据处理等。在这些应用中数据是多维的、连续的、快速的、随时间变化的,同时,这些应用除了传统的即席查询,更可能需要连续查询。