数据中心分层存储技术探究及实践
发布时间：2018-08-20 13:19
【摘要】：正在IT运营过程中,应用系统时常会出现热点数据(如数据库发生IO性能瓶颈产生业务影响),且往往只有在问题发生后才能被动发现,并经常依靠技术人员将热点数据迁移到后端带宽更大的盘组来消除热点。近年来,随着云技术和大数据的广泛应用,数据中心的数据量呈爆发式增长,数据热点出现日益频繁,但因底层磁盘机上的冷热数据难以被有效、快速评估,导致影响业务正常运行的情况时有发生。分层存储是建立在存储池基础上发展而来的一种新
[Abstract]:In the process of IT operation, application systems often have hot data (such as IO performance bottleneck in database to produce business impact), and they can only be found passively only after the problem has occurred. And often rely on technicians to migrate hot data to backend bandwidth greater disk groups to eliminate hot spots. In recent years, with the extensive application of cloud technology and big data, the amount of data in data center increases explosively, and data hot spots appear more and more frequently. However, the cold and hot data on the underlying disk machine are difficult to be effectively evaluated. Causes the normal operation of the business to occur from time to time. Hierarchical storage is a new kind of storage developed on the basis of storage pool.
【作者单位】： 中国工商银行数据中心(上海);
【分类号】：TP333
[Abstract]:In the process of IT operation, application systems often have hot data (such as IO performance bottleneck in database to produce business impact), and they can only be found passively only after the problem has occurred. And often rely on technicians to migrate hot data to backend bandwidth greater disk groups to eliminate hot spots. In recent years, with the extensive application of cloud technology and big data, the amount of data in data center increases explosively, and data hot spots appear more and more frequently. However, the cold and hot data on the underlying disk machine are difficult to be effectively evaluated. Causes the normal operation of the business to occur from time to time. Hierarchical storage is a new kind of storage developed on the basis of storage pool.
【作者单位】： 中国工商银行数据中心(上海);
【分类号】：TP333
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