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全业务经营时代,为应对竞争,运营商纷纷推出移动互联网的新产品和新业务,聚焦客户和市场的数据分析与挖掘手段的应用越来越普遍。运营商在数据分析领域愈加需要高性能计算的能力和面临着更加严格的时限要求。首先,数据量大、运算量大的系统如企业数据仓库、运营数据存储等对高性能计算有需求。现有数据统计分析类系统一般都架构在小型机上,CPU资源不够,目前主要通过不断扩容应对压力,扩容及日常运维成本非
In the era of full-service operation, in response to competition, operators have introduced new products and services for the mobile Internet. Applications of data analysis and mining tools focusing on customers and the market are becoming more and more popular. Operators are increasingly demanding HPC capabilities in the area of data analytics and are facing more stringent deadlines. First of all, there is a demand for high performance computing in systems with large amounts of data and large amounts of computation, such as enterprise data warehouses and operational data storage. Existing data statistical analysis systems are generally based on the structure of the minicomputer, CPU resources are not enough, at present mainly through continuous expansion to deal with the pressure, capacity expansion and daily operation and maintenance costs