Object Storage Metadata

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

Cloud storage is a concept that extends and develops in the concept of cloud computing (Cloud Computing). Its goal is to combine application software with storage devices to transform storage devices into storage services through application software. In short, cloud storage is not storage, it's a service. This service can provide virtual storage on demand on the network, also known as data storage as a service (Storage, DaaS). The customer pays for the storage capacity that is actually required to purchase. Any reference to the amount of fixed capacity added ...

OpenStack Object Storage (Swift) is one of the subprojects of the OpenStack Open source Cloud project, known as Object storage, which provides powerful extensibility, redundancy, and durability. This article will describe swift in terms of architecture, principles, and practices. Swift is not a file system or a real-time data storage system, which is called object storage and is used for long-term storage of permanent types of static data that can be retrieved, adjusted, and updated as necessary. Examples of data types that are best suited for storage are virtual machine mirroring, picture saving ...

1, metadata (Metadata): Maintenance of HDFs file System file and directory information, divided into memory metadata and metadata file two kinds. Namenode maintains the entire metadata. HDFs implementation, the method of periodically exporting metadata is not adopted, but the backup mechanism of metadata mirroring file (fsimage) + day file (edits) is adopted. 2, Block: The contents of the file. Search path Flow: &http://www.aliyun.com/zixun/aggregation/37 ...

Cloud providers have realized that cloud object storage services are a powerful way to turn "big data" market hype into cash. Large data analysis extracts information from unstructured data, which is too clumsy for the traditional block storage technology offered by most cloud providers. Many enterprise customers are struggling to adjust their existing internal IT infrastructures and traditional data warehouses, and cloud providers are finding the services that are based on cloud object storage, offering not only cost reductions, but also technical challenges for customers and large data management. Cloud Object storage: Enables unstructured data collection and storage of large datasets ...

Das, San, and NAS-oriented storage architectures have been the main forms of storage in the data center for a long time, but with the advent of the large data age, unstructured data has become an important part of the enterprise storage System, and the subset of XML in Office documents, texts, pictures, standard Universal markup languages , HTML, all kinds of reports, images and audio/video information, and so on, are unstructured data, even the development of very mature SAN and NAS is still not good for the requirements of unstructured data, it can be said that object storage is in such a ...

There is a concept of an abstract file system in Hadoop that has several different subclass implementations, one of which is the HDFS represented by the Distributedfilesystem class. In the 1.x version of Hadoop, HDFS has a namenode single point of failure, and it is designed for streaming data access to large files and is not suitable for random reads and writes to a large number of small files. This article will explore the use of other storage systems, such as OpenStack Swift object storage, as Ha ...

Hortonworks a new Hadoop object storage environment--ozone to extend HDFs from file systems to more complex enterprise tiers. Some members of the Hadoop community today proposed adding a new object storage environment to Hadoop, which would enable Hadoop to store data in the same way as cloud storage services such as Amazon S3, Microsoft Azure, and OpenStack Swift. Hadoop publisher Hortonworks This Tuesday at the official website ...

Hortonworks a new Hadoop object storage environment--ozone to extend HDFs from file systems to more complex enterprise tiers. Some members of the Hadoop community today proposed adding a new object storage environment to Hadoop, which would enable Hadoop to store data in the same way as cloud storage services such as Amazon S3, Microsoft Azure, and OpenStack Swift. Hortonworks, a Hadoop publisher, issued a blog in Tuesday ...

In recent years, with the rapid growth of mass video information, traditional security technology is more and more difficult to meet the needs of some industries in transmission, storage and large data calculation and analysis, or it is difficult to meet these needs with lower cost, more flexible extensibility, more robust, more reliable and more secure system architecture. Therefore, the concept of cloud computing in the two years began more and more infiltration into the field of security. The breakthrough application of cloud storage is particularly noticeable. 　　This article will mainly on the application of cloud storage in the field of security analysis. The popularization of network technology makes the network sharing of video resources become ...