Computer systems may include different resources used by one or more host processors. Resources and host processors in a computer system may be interconnected by one or more communication connections. These resources may include, for example, data storage systems, such as the Symmetrix™ or CLARiiON™ family of data storage systems manufactured by EMC Corporation. These data storage systems may be coupled to one or more host processors and provide storage services to each host processor. An example data storage system may include one or more data storage devices, such as those of the Symmetrix™ family, that are connected together and may be used to provide common data storage for one or more host processors in a computer system.
A host processor may perform a variety of data processing tasks and operations using the data storage system. For example, a host processor may perform basic system I/O operations in connection with data requests such as data read and write operations. Host processor systems may store and retrieve data using a storage device containing a plurality of host interface units, disk drives, and disk interface units. Such storage devices are provided, for example, by EMC Corporation of Hopkinton, Mass. and disclosed in U.S. Pat. No. 5,206,939 to Yanai et al., 5,778,394 to Galtzur et al., U.S. Pat. No. 5,845,147 to Vishlitzky et al., and U.S. Pat. No. 5,857,208 to Ofek. The host systems access the storage device through a plurality of channels provided therewith. Host systems provide data and access control information through the channels to the storage device and storage device provides data to the host systems also through the channels. The host systems do not address the disk drives of the storage device directly, but rather, access what appears to the host systems as a plurality of logical disk units. The logical disk units may or may nor correspond to the actual physical disk drives. Allowing multiple host systems to access the single storage device unit allows the host systems to share data stored therein.
It is desirable to copy or replicate data for a variety of different reasons, such as, for example, database-related data may be critical to a business so it is important to make sure is not lost due to problems with the computer systems, such as for example, a software virus that corrupts the data. Typically, there are costs associated with backing up or otherwise copying or replicating data.
For example, a file server is a computer that provides file services relating to the organization of information on storage devices, such as disks. The file server includes a storage operating system that implements a file system to logically organize the information as a hierarchical structure of directories and files on the disks. Each “on-disk” file may be implemented as a set of data structures, e.g., disk blocks, configured to store information. A directory, on the other hand, may be implemented as a specially formatted file in which information about other files and directories are stored.
A file server may be further configured to operate according to a client/server model of information delivery to thereby allow many clients to access files stored on a server. In this model, the client may comprise an application, such as a database application, executing on a computer that “connects” to the file server over a direct connection or computer network, such as a point-to-point link, shared local area network (LAN), wide area network (WAN), or virtual private network (VPN) implemented over a public network such as the Internet. Each client may request the services of the file system on the file server by issuing file system protocol messages (in the form of packets) to the file server over the network.
A common type of file system is a “write in-place” file system. By “file system” it is meant generally a structuring of data and metadata on a storage device, such as disks, which permits reading/writing of data on those disks. In a write in-place file system, the locations of the data structures, such as inodes and data blocks, on disk are typically fixed. An inode is a data structure used to store information, such as metadata, about a file, whereas the data blocks are structures used to store the actual data for the file. The information contained in an inode may include, e.g., ownership of the file, access permission for the file, size of the file, file type and references to locations on disk of the data blocks for the file. The references to the locations of the file data are provided by pointers in the inode, which may further reference indirect blocks that, in turn, reference the data blocks, depending upon the quantity of data in the file. Changes to the inodes and data blocks are made “in-place” in accordance with the write in-place file system. If an update to a file extends the quantity of data for the file, an additional data block is allocated and the appropriate inode is updated to reference that data block. Another type of file system is a write-anywhere file system that does not overwrite data on disks. If a data block on disk is retrieved (read) from disk into memory and “dirtied” with new data, the data block is stored (written) to a new location on disk to thereby optimize write performance. A write-anywhere file system may initially assume an optimal layout such that the data is substantially contiguously arranged on disks. The optimal disk layout results in efficient access operations, particularly for sequential read operations, directed to the disks.
Disk storage is typically implemented as one or more storage “volumes” that comprise physical storage disks, defining an overall logical arrangement of storage space. The disks within a volume are typically organized as one or more groups of Redundant Array of Independent (or Inexpensive) Disks (RAID). RAID implementations enhance the reliability/integrity of data storage through the redundant writing of data “stripes” across a given number of physical disks in the RAID group, and the appropriate caching of parity information with respect to the striped data. A RAID 4 implementation specifically entails the striping of data across a group of disks, and separate parity caching within a selected disk of the RAID group.
More particularly, RAID groups are logical representations of disk arrays created by binding individual physical disks together to form the RAID groups. RAID groups represent a logically contiguous address space distributed across a set of physical disks. Each physical disk is subdivided into pieces used to spread the address space of the RAID group across the group (along with parity information if applicable to the RAID level). The physically contiguous pieces of the physical disks that are joined together to create the logically contiguous address space of the RAID group are called stripes.
Applications access and store data incrementally by use of logical storage array partitions, known as logical units (LUNs). LUNs are exported from a RAID array for use at the application level. For conventional systems, LUNs always map to logically provisioned contiguous storage space within the RAID groups. This contiguous provisioning results from the fact that traditional LUN mapping technologies bind LUNs from RAID groups using static mapping. Static mapping provides that a LUN is defined by a start position in a RAID group and that the LUN extends for its size from that position contiguously in the RAID group's address space. This static mapping yields a logical unit mapping of 1:1 for logical to contiguous mapping of blocks from some start point in the RAID group's address space on the array.
In order to improve reliability and facilitate disaster recovery in the event of a failure of a file server, its associated disks or some portion of the storage infrastructure, it is common to “mirror” or replicate some or all of the underlying data and/or the file system that organizes the data. In one example, a mirror is established and stored at a remote site, making it more likely that recovery is possible in the event of a true disaster that may physically damage the main storage location or its infrastructure (e.g., a flood, power outage, act of war). The mirror is updated at regular intervals, typically set by an administrator, in an effort to catch the most recent changes to the file system traded off against cost.
The complete recopying of the entire file system to a remote (destination) site over a network may be quite inconvenient where the size of the file system is measured in tens or hundreds of gigabytes (even terabytes). This full-backup approach to remote data replication may severely tax the bandwidth of the network and also the processing capabilities of both the destination and source file server.
USPTO Backgrounds
USPTO Backgrounds