Couples corporate object storage capabilities with a flexible policy language for customization of access control, retention, and storage of data within the same system.
Ceph将自己描述为“分布式对象存储和旨在提供高性能、高可靠性和扩展性的文件系统”。
Ceph describes itself as a"distributed object store and file system designed to provide excellent performance, reliability and scalability.".
对象存储擅长并行读取I/O处理,因为不需要管理对象锁或属性。
Object stores are good at parallel read I/O processing because there are no object locking or attributes to manage.
对象存储在基于云的存储方案中非常常见,可用于以极高的可伸缩性和可靠性管理,处理和分发内容。
Object storage is quite common in cloud-based storage scenarios and can be used to manage, process and distribute content with very high scalability and reliability.
OpenStack Object Storage(swift) is used for redundant, scalable data storage using clusters of standardized servers to store petabytes of accessible data.
在查看对象存储时,有一个警告:由于两个主要原因,数据量可能会显著增加。
One word of warning, though, when looking at object stores: data volumes can increase significantly, for two main reasons.
对象必须存储在容器中,所以您必须至少拥有一个容器来使用对象存储。
Objects must be stored in a container,so you must have at least one container to use the Object store.
许多对象存储产品现在提供本机功能来构建全局集群,并将数据复制到遍布全球的不同站点。
Many object storage products now offer the native functionality to build global clusters and to replicate data across different sites spread around the globe.
最后,对象存储-如雨燕,在OpenStack对象存储和亚马逊S3-现在可以用来作为主存储。
Finally, object stores- such as Swift, the OpenStack Object Storage, and Amazon S3- can now be used as primary storage.
Ceph包含实施集群映射管理的监视器,但是故障管理的一些要素是在对象存储本身中执行的。
Ceph includes monitors that implement management of the cluster map,but some elements of fault management are implemented in the object store itself.
Owing to its simplicity, scalability and cost-efficiency object storage, including Ceph, has increasingly become a popular alternative to traditional file systems.
Ozone是Hadoop的可扩展、冗余和分布式对象存储。
Hadoop Ozone: It is a scalable, redundant, and distributed object store for Hadoop.
基于云的对象存储速度太慢,跟不上机器学习的I/O需求;.
Cloud-based object stores are too slow to keep up with the I/O demands of machine learning;
Balancing the apparent cost savings of object storage against the functionality of files and databases requires careful consideration of exactly what functionality is required.
关系数据库、图形数据库、时间序列数据库、HDF和对象存储都有各自的优缺点。
Relational database, graph databases, time-series databases, HDFS, and object stores all have their respective strengths and weakness.
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