RAID: Difference between revisions
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=== Comparison === |
=== Comparison === |
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The following table provides an overview of |
The following table provides an overview of some considerations for standard RAID levels. In each case: |
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* Array space efficiency is given as an expression in terms of the number of drives, <math>n</math>; this expression designates a fractional value between zero and one, representing the fraction of the sum of the drives' capacities that is available for use. For example, if three drives are arranged in RAID 3, this gives an array space efficiency of <math>1 - (1/n) = 1 - (1/3) = 2/3 \approx 67%</math> thus, if each drive in this example has a capacity of 250 GB, then the array has a total capacity of 750 GB but the capacity that is usable for data storage is only 500 GB. |
* Array space efficiency is given as an expression in terms of the number of drives, <math>n</math>; this expression designates a fractional value between zero and one, representing the fraction of the sum of the drives' capacities that is available for use. For example, if three drives are arranged in RAID 3, this gives an array space efficiency of <math>1 - (1/n) = 1 - (1/3) = 2/3 \approx 67%</math> thus, if each drive in this example has a capacity of 250 GB, then the array has a total capacity of 750 GB but the capacity that is usable for data storage is only 500 GB. |
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* Array failure rate is given as an expression in terms of the number of drives, <math>n</math>, and the drive failure rate, <math>r</math> (which is assumed to be identical and independent for each drive). For example, if each of three drives has a failure rate of 5% over the next three years, and these drives are arranged in RAID 3, then this gives an array failure rate of <math>1-(1-r)^{(n-2)/2} = 1-(1-5%)^{(3-2)/2} = 1-(0.95)^{(1)/2} = 1-(0.95)^{(0.5)} \approx 1-(0.975) \approx 0.025 \approx 2.5%</math> over the next 3 years. |
* Array failure rate is given as an expression in terms of the number of drives, <math>n</math>, and the drive failure rate, <math>r</math> (which is assumed to be identical and independent for each drive). For example, if each of three drives has a failure rate of 5% over the next three years, and these drives are arranged in RAID 3, then this gives an array failure rate of <math>1-(1-r)^{(n-2)/2} = 1-(1-5%)^{(3-2)/2} = 1-(0.95)^{(1)/2} = 1-(0.95)^{(0.5)} \approx 1-(0.975) \approx 0.025 \approx 2.5%</math> over the next 3 years. |
Revision as of 19:23, 16 April 2013
RAID (redundant array of independent disks, originally redundant array of inexpensive disks[1][2]) is a storage technology that combines multiple disk drive components into a logical unit. Data is distributed across the drives in one of several ways called "RAID levels", depending on the level of redundancy and performance required.
The term "RAID" was first defined by David Patterson, Garth A. Gibson, and Randy Katz at the University of California, Berkeley in 1987.[3] Marketers representing industry RAID manufacturers later attempted to reinvent the term to describe a redundant array of independent disks as a means of disassociating a low-cost expectation from RAID technology.[4][5]
RAID is now used as an umbrella term for computer data storage schemes that can divide and replicate data among multiple physical drives: RAID is an example of storage virtualization and the array can be accessed by the operating system as one single drive.[note 1] The different schemes or architectures are named by the word RAID followed by a number (e.g. RAID 0, RAID 1). Each scheme provides a different balance between the key goals: reliability and availability, performance and capacity. RAID levels greater than RAID 0 provide protection against unrecoverable (sector) read errors, as well as whole disk failure.
History
Norman Ken Ouchi at IBM was awarded a 1978 U.S. patent 4,092,732[6] titled "System for recovering data stored in failed memory unit." The claims for this patent describe what would later be termed RAID 5 with full stripe writes. This 1978 patent also mentions that drive mirroring or duplexing (what would later be termed RAID 1) and protection with dedicated parity (that would later be termed RAID 4) were prior art at that time.
The term RAID was first defined by David A. Patterson, Garth A. Gibson and Randy Katz at the University of California, Berkeley, in 1987. They studied the possibility of using two or more drives to appear as a single device to the host system and published a paper: "A Case for Redundant Arrays of Inexpensive Disks (RAID)" in June 1988 at the SIGMOD conference.[3]
Standard levels
A number of standard schemes have evolved which are referred to as levels. There were five RAID levels originally conceived, but many more variations have evolved, notably several nested levels and many non-standard levels (mostly proprietary). RAID levels and their associated data formats are standardized by the Storage Networking Industry Association (SNIA) in the Common RAID Disk Drive Format (DDF) standard:[7][8]
RAID 0
RAID 0 (block-level striping without parity or mirroring) has no (or zero) redundancy. It provides improved performance and additional storage but no fault tolerance. Any drive failure destroys the array, and the likelihood of failure increases with more drives in the array.[5]
RAID 1
In RAID 1 (mirroring without parity or striping), data is written identically to two drives, thereby producing a "mirrored set"; the read request is serviced by either of the two drives containing the requested data, whichever one involves least seek time plus rotational latency. Similarly, a write request updates the stripes of both drives. The write performance depends on the slower of the two writes (i.e. the one that involves larger seek time and rotational latency). At least two drives are required to constitute such an array. While more constituent drives may be employed, many implementations deal with a maximum of only two. The array continues to operate as long as at least one drive is functioning.[5]
RAID 2
In RAID 2 (bit-level striping with dedicated Hamming-code parity), all disk spindle rotation is synchronized, and data is striped such that each sequential bit is on a different drive. Hamming-code parity is calculated across corresponding bits and stored on at least one parity drive.[5] This theoretical RAID level is not used in practice.[citation needed]
RAID 3
In RAID 3 (byte-level striping with dedicated parity), all disk spindle rotation is synchronized, and data are striped so each sequential byte is on a different drive. Parity is calculated across corresponding bytes and stored on a dedicated parity drive.[5] Although implementations exist,[9] RAID 3 is not commonly used in practice.
RAID 4
RAID 4 (block-level striping with dedicated parity) is equivalent to RAID 5 (see below) except that all parity data are stored on a single drive. In this arrangement files may be distributed between multiple drives. Each drive operates independently, allowing I/O requests to be performed in parallel.[citation needed]
RAID 4 was previously used primarily by NetApp, but has now been largely replaced by an implementation of RAID 6 (RAID-DP).[10]
RAID 5
RAID 5 (block-level striping with distributed parity) distributes parity along with the data and requires all drives but one to be present to operate; the array is not destroyed by a single drive failure. Upon drive failure, any subsequent reads can be calculated from the distributed parity such that the drive failure is masked from the end user. RAID 5 requires at least three disks.[5]
RAID 6
RAID 6 (block-level striping with double distributed parity) provides fault tolerance up to two failed drives. This makes larger RAID groups more practical, especially for high-availability systems. This becomes increasingly important as large-capacity drives lengthen the time needed to recover from the failure of a single drive. Like RAID 5, a single drive failure results in reduced performance of the entire array until the failed drive has been replaced and the associated data rebuilt.[5]
RAID 10
In RAID 10, often referred to as RAID 1+0 (mirroring and striping), data is written in stripes across primary disks that have been mirrored to the secondary disks.[citation needed]
Comparison
The following table provides an overview of some considerations for standard RAID levels. In each case:
- Array space efficiency is given as an expression in terms of the number of drives, ; this expression designates a fractional value between zero and one, representing the fraction of the sum of the drives' capacities that is available for use. For example, if three drives are arranged in RAID 3, this gives an array space efficiency of thus, if each drive in this example has a capacity of 250 GB, then the array has a total capacity of 750 GB but the capacity that is usable for data storage is only 500 GB.
- Array failure rate is given as an expression in terms of the number of drives, , and the drive failure rate, (which is assumed to be identical and independent for each drive). For example, if each of three drives has a failure rate of 5% over the next three years, and these drives are arranged in RAID 3, then this gives an array failure rate of over the next 3 years.
Level | Description | Minimum # of drives** | Space efficiency | Fault tolerance | Array failure rate*** | Read performance | Write performance | Figure |
---|---|---|---|---|---|---|---|---|
RAID 0 | Block-level striping without parity or mirroring | 2 | 1 | 0 (none) | 1−(1−r)n | nX | nX | ![]() |
RAID 1 | Mirroring without parity or striping | 2 | 1/n | n−1 drives | rn | nX***** | 1X | ![]() |
RAID 2 | Bit-level striping with dedicated Hamming-code parity | 3 | 1 − 1/n ⋅ log2(n-1) | RAID 2 can recover from one drive failure or repair corrupt data or parity when a corrupted bit's corresponding data and parity are good. | Variable | Variable | Variable | ![]() |
RAID 3 | Byte-level striping with dedicated parity | 3 | 1 − 1/n | 1 drive | 1-(1-r)(n-2)/2 | (n−1)X | (n−1)X* | ![]() |
RAID 4 | Block-level striping with dedicated parity | 3 | 1 − 1/n | 1 drive | 1-(1-r)(n-2)/2 | (n−1)X | (n−1)X* | ![]() |
RAID 5 | Block-level striping with distributed parity | 3 | 1 − 1/n | 1 drive | 1-(1-r)(n-2)/2 | (n−1)X* | (n−1)X* | ![]() |
RAID 6 | Block-level striping with double distributed parity | 4 | 1 − 2/n | 2 drives | 1-(1-r)(n-3)/2 | (n−2)X* | (n−2)X* | ![]() |
RAID 10 | Mirroring without parity, and block-level striping | 4 | 2/n | 1 drive / span **** | nX | (n/2)X | ||
Level | Description | Minimum # of drives** | Space efficiency | Fault tolerance | Array failure rate*** | Read performance | Write performance | Figure |
* Assumes hardware is fast enough to support
** Assumes a non-degenerate minimum number of drives
*** Assumes independent, identical rate of failure amongst drives
**** Raid 10 can only lose 1 drive per span up to the max of 2/n drives
***** Theoretical maximum, as low as 1X in practice
Nested (hybrid) RAID
In what was originally termed hybrid RAID,[11] many storage controllers allow RAID levels to be nested. The elements of a RAID may be either individual drives or RAIDs themselves. However, if a RAID is itself an element of a larger RAID, it is unusual for its elements to be themselves RAIDs.
As there is no basic RAID level numbered larger than 9, nested RAIDs are usually clearly described by attaching the numbers indicating the RAID levels, sometimes with a "+" in between. The order of the digits in a nested RAID designation is the order in which the nested array is built: For a RAID 1+0, drives are first combined into multiple level 1 RAIDs that are themselves treated as single drives to be combined into a single RAID 0; the reverse structure is also possible (RAID 0+1).[citation needed]
The final RAID is known as the top array. When the top array is a RAID 0 (such as in RAID 1+0 and RAID 5+0), most vendors omit the "+" (yielding RAID 10 and RAID 50, respectively).
- RAID 0+1: striped sets in a mirrored set (minimum four drives; even number of drives) provides fault tolerance and improved performance but increases complexity.
- The key difference from RAID 1+0 is that RAID 0+1 creates a second striped set to mirror a primary striped set. The array continues to operate with one or more drives failed in the same mirror set, but if drives fail on both sides of the mirror the data on the RAID system is lost.
- RAID 1+0: (a.k.a. RAID 10) mirrored sets in a striped set (minimum four drives; even number of drives) provides fault tolerance and improved performance but increases complexity.
- The key difference from RAID 0+1 is that RAID 1+0 creates a striped set from a series of mirrored drives. The array can sustain multiple drive losses so long as no mirror loses all its drives.[12]
- RAID 5+3: mirrored striped set with distributed parity (some manufacturers label this as RAID 53)[citation needed]
RAID parity
Many RAID levels employ an error protection scheme called "parity", a widely used method in information technology to provide fault tolerance in a given set of data. Most use the simple XOR parity described in this section, but RAID 6 uses two separate parities based respectively on addition and multiplication in a particular Galois Field or Reed–Solomon error correction.[13]
Non-standard levels
Many configurations other than the basic numbered RAID levels are possible, and many companies, organizations, and groups have created their own non-standard configurations, in many cases designed to meet the specialized needs of a small niche group. Most non-standard RAID levels are proprietary:
- Linux MD RAID10 (RAID 10) implements a general RAID driver that defaults to a standard RAID 1 with two drives, and a standard RAID 1+0 with four drives, but can have any number of drives, including odd numbers. MD RAID 10 can run striped and mirrored, even with only two drives with the f2 layout (mirroring with striped reads, giving the read performance of RAID 0; normal Linux software RAID 1 does not stripe reads, but can read in parallel).[12][14][15]
- Hadoop has a RAID system that generates a parity file by xor-ing a stripe of blocks in a single HDFS file.[16]
Data backup
A RAID system used as secondary storage is not an alternative to backing up data. In RAID levels > 0, a RAID protects from catastrophic data loss caused by physical damage or errors on a single drive within the array (or two drives in, say, RAID 6). However, a true backup system has other important features such as the ability to restore an earlier version of data, which is needed both to protect against software errors that write unwanted data to secondary storage, and also to recover from user error and malicious data deletion. A RAID can be overwhelmed by catastrophic failure that exceeds its recovery capacity and, of course, the entire array is at risk of physical damage by fire, natural disaster, and human forces, while backups can be stored off-site. A RAID is also vulnerable to controller failure because it is not always possible to migrate a RAID to a new, different controller without data loss.[17]
Implementations
The distribution of data across multiple drives can be managed either by dedicated computer hardware or by software. A software solution may be part of the operating system, or it may be part of the firmware and drivers supplied with a hardware RAID controller.
Software-based RAID
Software RAID implementations are now provided by many operating systems. Software RAID can be implemented as:
- A layer that abstracts multiple devices, thereby providing a single virtual device (e.g. Linux's md)
- A more generic logical volume manager (provided with most server-class operating systems, e.g. Veritas or LVM)
- A component of the file system (e.g. ZFS or Btrfs)
Volume manager support
Server class operating systems typically provide logical volume management, which allows a system to use logical[jargon] volumes which can be resized or moved. Often, features like RAID or snapshots are also supported.
- Vinum is a logical volume manager supporting RAID 0, RAID 1, and RAID 5. Vinum is part of the base distribution of the FreeBSD operating system, and versions exist for NetBSD, OpenBSD, and DragonFly BSD.
- Solaris SVM supports RAID 1 for the boot filesystem, and adds RAID 0 and RAID 5 support (and various nested combinations) for data drives.
- Linux LVM supports RAID 0 and RAID 1.
- HP's OpenVMS provides a form of RAID 1 called "Volume shadowing", giving the possibility to mirror data locally and at remote cluster systems.
File-system support
Some advanced file systems are designed to organize data across multiple storage devices directly (without needing the help of a third-party logical volume manager).
- ZFS supports equivalents of RAID 0, RAID 1, RAID 5 (RAID Z), RAID 6 (RAID Z2) and a triple parity version RAID Z3 and any nested combination of those like 1+0. ZFS is the native file system on Solaris and also available on FreeBSD.
- Btrfs supports RAID 0, RAID 1 and RAID 10 (RAID 5 and 6 are under development).
Operating-system support
Many operating systems provide basic RAID functionality independently of volume management:
- Apple's OS X and OS X Server support RAID 0, RAID 1, and RAID 1+0.[18][19]
- FreeBSD supports RAID 0, RAID 1, RAID 3, and RAID 5, and all nestings via GEOM modules and ccd.[20][21][22]
- Linux's md supports RAID 0, RAID 1, RAID 4, RAID 5, RAID 6, and all nestings.[23][24] Certain reshaping/resizing/expanding operations are also supported.[25]
- Microsoft's server operating systems support RAID 0, RAID 1, and RAID 5. Some of the Microsoft desktop operating systems support RAID. For example, Windows XP Professional supports RAID level 0, in addition to spanning multiple drives, but only if using dynamic disks and volumes. Windows XP can be modified to support RAID 0, 1, and 5.[26] Windows 8 and Windows Server 2012 introduces a RAID-like feature known as Storage Spaces, which also allows users to specify mirroring, parity, or no redundancy on a folder-by-folder basis.[27]
- NetBSD supports RAID 0, 1, 4, and 5 via its software implementation, named RAIDframe.[28]
Over time, the increase in commodity CPU speed has been consistently greater than the increase in drive throughput;[29] the percentage of host CPU time required to saturate a given number of drives has decreased. For instance, under 100% usage of a single core on a 2.1 GHz Intel "Core2" CPU, the Linux software RAID subsystem (md) as of version 2.6.26 is capable of calculating parity information at 6 GB/s; however, a three-drive RAID 5 array using drives capable of sustaining a write operation at 100 MB/s only requires parity to be calculated at the rate of 200 MB/s, which requires the resources of just over 3% of a single CPU core.
Another concern with software implementations is the process of booting the associated operating system. For instance, consider a computer being booted from a RAID 1 (mirrored drives); if the first drive in the RAID 1 fails, then a first-stage boot loader might not be sophisticated enough to attempt loading the second-stage boot loader from the second drive as a fallback. The second-stage boot loader for FreeBSD is capable of loading a kernel from a RAID 1.[30]
Hardware-based RAID
Hardware RAID controllers use proprietary data layouts, so it is not usually possible to span controllers from different manufacturers.[citation needed] They do not require processor resources, the BIOS can boot from them, and tighter integration with the device driver may offer better error handling.
On a desktop system, a hardware RAID controller may be an expansion card connected to a bus (e.g. PCI or PCIe), a component integrated into the motherboard; there are controllers for supporting most types of drive technology, such as IDE/ATA, SATA, SCSI, SSA, Fibre Channel, and sometimes even a combination. The controller and drives may be in a stand-alone enclosure, rather than inside a computer, and the enclosure may be directly attached to a computer, or connected via a SAN.
Firmware/driver-based RAID
A RAID implemented at the level of an operating system is not always compatible with the system's boot process, and it is generally impractical for desktop versions of Windows (as described above). However, hardware RAID controllers are expensive and proprietary. To fill this gap, cheap "RAID controllers" were introduced that do not contain a dedicated RAID controller chip, but simply a standard drive controller chip with special firmware and drivers; during early stage bootup, the RAID is implemented by the firmware, and once the operating system has been more completely loaded, then the drivers take over control. Consequently, such controllers may not work when driver support is not available for the host operating system.[31]
Data scrubbing / Patrol read
Data scrubbing is periodic reading and checking by the RAID controller of all the blocks in a RAID, including those not otherwise accessed. This allows bad blocks to be detected before they are used.[32]
An alternate name for this is patrol read. This is defined as a check for bad blocks on each storage device in an array, but which also uses the redundancy of the array to recover bad blocks on a single drive and reassign the recovered data to spare blocks elsewhere on the drive.[33]
Problems with RAID
Correlated failures
In practice, the drives are often the same age (with similar wear) and subject to the same environment. Since many drive failures are due to mechanical issues (which are more likely on older drives), this violates those assumptions; failures are in fact statistically correlated.[5] In practice, the chances of a second failure before the first has been recovered (causing data loss) is not as unlikely as four random failures. In a study including about 100,000 drives, the probability of two drives in the same cluster failing within one hour was observed to be four times larger than was predicted by the exponential statistical distribution which characterizes processes in which events occur continuously and independently at a constant average rate. The probability of two failures within the same 10-hour period was twice as large as that which was predicted by an exponential distribution.[34]
A common assumption is that "server-grade" drives fail less frequently than consumer-grade drives. Two independent studies (one by Carnegie Mellon University and the other by Google) have shown that the "grade" of a drive does not relate to the drive's failure rate.[35][36]
Unrecoverable Read Errors (URE) during rebuild
Unrecoverable Read Errors present as sector read failures. The UBE (Unrecoverable Bit Error) rate is typically specified at 1 bit in 1015 for enterprise class drives (SCSI, FC, SAS), and 1 bit in 1014 for desktop class drives (IDE/ATA/PATA, SATA). Increasing drive capacities and large RAID 5 redundancy groups have led to an increasing inability to successfully rebuild a RAID group after a drive failure because an unrecoverable sector is found on the remaining drives.[5][37] Parity schemes such as RAID 5 when rebuilding are particularly prone to the effects of UREs as they will affect not only the sector where they occur but also reconstructed blocks using that sector for parity computation; typically an URE during a RAID 5 rebuild will lead to a complete rebuild failure.[38]
Double protection schemes such as RAID 6 are attempting to address this issue, but suffer from a very high write penalty. Non-parity (mirrored) schemes such as RAID 10 have a lower risk from UREs.[39] Background scrubbing can be used to detect and recover from UREs (which are latent and invisibly compensated for dynamically by the RAID controller) as a background process, by reconstruction from the redundant RAID data and then re-writing and re-mapping to a new sector; and so reduce the risk of double-failures to the RAID system[40][41] (see Data scrubbing above).
Recovery time is increasing
Drive capacity has grown at a much faster rate than transfer speed, and error rates have only fallen a little in comparison. Therefore, larger capacity drives may take hours, if not days, to rebuild. The re-build time is also limited if the entire array is still in operation at reduced capacity.[42] Given a RAID with only one drive of redundancy (RAIDs 3, 4, and 5), a second failure would cause complete failure of the array. Even though individual drives' mean time between failure (MTBF) have increased over time, this increase has not kept pace with the increased storage capacity of the drives. The time to rebuild the array after a single drive failure, as well as the chance of a second failure during a rebuild, have increased over time.[43] Mirroring schemes such as RAID 10 have a bounded recovery time as they require the copy of a single failed drive, compared with parity schemes such as RAID 6 which require the copy of all blocks of the drives in an array set. Triple parity schemes, or triple mirroring, have been suggested as one approach to improve resilience to an additional drive failure during this large rebuild time.[44]
Atomicity: including parity inconsistency due to system crashes
A system crash or other interruption of a write operation can result in states where the parity is inconsistent with the data due to non-atomicity of the write process, such that the parity cannot be used for recovery in the case of a disk failure (the so-called RAID 5 write hole).[5]
This is a little understood and rarely mentioned failure mode for redundant storage systems that do not utilize transactional features. Database researcher Jim Gray wrote "Update in Place is a Poison Apple" during the early days of relational database commercialization.[45]
RAID write hole
The RAID write hole is a known data corruption issue in older and low-end RAIDs, caused by interrupted destaging of writes to disk.[46]
Write cache reliability
A concern about write cache reliability exists, specifically regarding devices equipped with a write-back cache—a caching system which reports the data as written as soon as it is written to cache, as opposed to the non-volatile medium.[47]
Drive error recovery algorithms
Many modern drives have internal error recovery algorithms that can take upwards of a minute to recover and re-map data that the drive fails to read easily. Frequently, a RAID controller is configured to drop a component drive (that is, to assume a component drive has failed) if the drive has been unresponsive for 8 seconds or so; this might cause the array controller to drop a good drive because that drive has not been given enough time to complete its internal error recovery procedure. Consequently, desktop drives can be quite risky when used in a RAID, and so-called enterprise class drives limit this error recovery time in order to obviate the problem.
A fix specific to Western Digital's desktop drives used to be known: A utility called WDTLER.exe could limit a drive's error recovery time; the utility enabled TLER (time limited error recovery), which limits the error recovery time to 7 seconds. Around September 2009, Western Digital disabled this feature in their desktop drives (e.g. the Caviar Black line), making such drives unsuitable for use in a RAID.[48]
However, Western Digital enterprise class drives are shipped from the factory with TLER enabled. Similar technologies are used by Seagate, Samsung, and Hitachi. Of course, for non-RAID usage, an enterprise class drive with a short error recovery timeout that cannot be changed is therefore less suitable than a desktop drive.[48]
In late 2010, the Smartmontools program began supporting the configuration of ATA Error Recovery Control, allowing the tool to configure many desktop class hard drives for use in a RAID.[48]
Scenarios other than disk failure
While RAID may protect against physical drive failure, the data are still exposed to operator, software, hardware, and virus destruction. Many studies cite operator fault as the most common source of malfunction,[49] such as a server operator replacing the incorrect drive in a faulty RAID, and disabling the system (even temporarily) in the process.[50]
RAID 5 in enterprise environments
Rebuilding a RAID 5 array after a failure will add additional stress to all of the working drives, because every area on every disc marked as being "in use" must be read to rebuild the redundancy that has been lost. If drives are close to failure, the stress of rebuilding the array can be enough to cause another drive to fail before the rebuild has been finished, and even more so if the server is still accessing the drives to provide data to clients, users, applications, etc. Even without complete loss of an additional drive during rebuild, an unrecoverable read error (URE) is likely for large arrays which will typically lead to a failed rebuild.[37] Thus, it is during this rebuild of the "missing" drive that the entire RAID 5 array is at risk of a catastrophic failure. The rebuild of an array on a busy and large system can take hours and sometimes days.[37] Therefore, it is not surprising that, when systems need to be highly available and highly reliable or fault tolerant, other levels, including RAID 6 or RAID 10, are chosen.[37]
With a RAID 6 array, using drives from multiple sources and manufacturers, it is possible to mitigate most of the problems associated with RAID 5. The larger the drive capacities and the larger the array size, the more important it becomes to choose RAID 6 instead of RAID 5.[37] RAID 10 also minimises these problems.[39]
As of August 2012, Dell, Hitachi, Seagate, Netapp, EMC, HDS, SUN Fishworks and IBM have current advisories against the use of RAID 5 with high capacity drives and in large arrays.[51]
Non-RAID drive architectures
![]() | It has been suggested that Non-RAID drive architectures be merged into this article. (Discuss) Proposed since February 2013. |
Non-RAID drive architectures also exist, and are often referred to, similarly to RAID, by standard acronyms, several tongue-in-cheek. A single drive is referred to as a SLED (Single Large Expensive Disk/Drive), by contrast with RAID, while an array of drives without any additional control (accessed simply as independent drives) is referred to, even in a formal context such as equipment specification, as a JBOD (Just a Bunch Of Disks). Simple concatenation is referred to as a "span".
See also
Notes
- ^ The physical drives are said to be "in a RAID", however the more common, somewhat repetitive parlance is to say that they are "in a RAID array". See RAS syndrome.
References
- ^ Donald, L. (2003). "MCSA/MCSE 2006 JumpStart Computer and Network Basics" (2nd ed.). Glasgow: SYBEX.
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: Cite journal requires|journal=
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ignored (|name-list-style=
suggested) (help) - ^ Howe, Denis (ed.). Redundant Arrays of Independent Disks from [[Free On-line Dictionary of Computing|FOLDOC]]. Imperial College Department of Computing. Retrieved 2011-11-10.
{{cite book}}
:|work=
ignored (help); External link in
(help); URL–wikilink conflict (help)|publisher=
- ^ a b David A. Patterson, Garth Gibson, and Randy H. Katz: A Case for Redundant Arrays of Inexpensive Disks (RAID). University of California Berkeley. 1988. Cite error: The named reference "patterson" was defined multiple times with different content (see the help page).
- ^ "Originally referred to as Redundant Array of Inexpensive Disks, the concept of RAID was first developed in the late 1980s by Patterson, Gibson, and Katz of the University of California at Berkeley. (The RAID Advisory Board has since substituted the term Inexpensive with Independent.)" Storagecc Area Network Fundamentals; Meeta Gupta; Cisco Press; ISBN 978-1-58705-065-7; Appendix A.
- ^ a b c d e f g h i j Chen, Peter; Lee, Edward; Gibson, Garth; Katz, Randy; Patterson, David (1994). "RAID: High-Performance, Reliable Secondary Storage". ACM Computing Surveys. 26: 145-185.
- ^ US patent 4092732, Norman Ken Ouchi, "System for recovering data stored in failed memory unit", issued 1978-05-30
- ^ "Common RAID Disk Drive Format (DDF) standard". SNIA.org. SNIA. Retrieved 2012-08-26.
- ^ "SNIA Dictionary". SNIA.org. SNIA. Retrieved 2010-08-24.
- ^ "FreeBSD Handbook, Chapter 20.5 GEOM: Modular Disk Transformation Framework". Retrieved 2012-12-20.
- ^ White, Jay; Lueth, Chris (May 2010). "RAID-DP:NetApp Implementation of Double Parity RAID for Data Protection. NetApp Technical Report TR-3298". Retrieved 2013-03-02.
- ^ Vijayan, S. (1995). "Dual-Crosshatch Disk Array: A Highly Reliable Hybrid-RAID Architecture". Proceedings of the 1995 International Conference on Parallel Processing: Volume 1. CRC Press. pp. I–146ff. ISBN 0-8493-2615-X.
{{cite book}}
: Unknown parameter|coauthors=
ignored (|author=
suggested) (help) - ^ a b Jeffrey B. Layton: "Intro to Nested-RAID: RAID-01 and RAID-10", Linux Magazine, January 6, 2011
- ^ Dawkins, Bill and Jones, Arnold. "Common RAID Disk Data Format Specification" [Storage Networking Industry Association] Colorado Springs, 28 July 2006. Retrieved on 22 February 2011.
- ^ [1], question 4
- ^ "Main Page - Linux-raid". Linux-raid.osdl.org. 2010-08-20. Retrieved 2010-08-24.
- ^ "Hdfs Raid". Hadoopblog.blogspot.com. 2009-08-28. Retrieved 2010-08-24.
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- ^ "Apple Mac OS X Server File Systems". Retrieved 2008-04-23.
- ^ "FreeBSD System Manager's Manual page for GEOM(8)". Retrieved 2009-03-19.
- ^ "freebsd-geom mailing list - new class / geom_raid5". Retrieved 2009-03-19.
- ^ "FreeBSD Kernel Interfaces Manual for CCD(4)". Retrieved 2009-03-19.
- ^ "The Software-RAID HOWTO". Retrieved 2008-11-10.
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- ^ "Using Windows XP to Make RAID 5 Happen". Tomshardware.com. Retrieved 2010-08-24.
- ^ Sinofsky, Steven. "Virtualizing storage for scale, resiliency, and efficiency". Microsoft.
- ^ Metzger, Perry (1999-05-12). "NetBSD 1.4 Release Announcement". NetBSD.org. The NetBSD Foundation. Retrieved 2013-01-30.
- ^ "Rules of Thumb in Data Engineering" (PDF). Retrieved 2010-01-14.
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- ^ Ulf Troppens, Wolfgang Mueller-Friedt, Rainer Erkens, Rainer Wolafka, Nils Haustein. Storage Networks Explained: Basics and Application of Fibre Channel SAN, NAS, ISCSI,InfiniBand and FCoE. John Wiley and Sons, 2009. p.39
- ^ Dell Computers, Background Patrol Read for Dell PowerEdge RAID Controllers, By Drew Habas and John Sieber, Reprinted from Dell Power Solutions, February 2006 http://www.dell.com/downloads/global/power/ps1q06-20050212-Habas.pdf
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- ^ a b c d e "Why RAID 6 stops working in 2019". ZDNet. 22 February 2010.
- ^ J.L. Hafner, V. Deenadhaylan, K. Rao, and J.A. Tomlin. "Matrix methods for lost data reconstruction in erasure codes. USENIX Conference on File and Storage Technologies, p15-30, Dec. 13-16, 2005.
- ^ a b Scott Lowe (2009-11-16). "How to protect yourself from RAID-related Unrecoverable Read Errors (UREs). Techrepublic". Retrieved 2012-12-01.
- ^ M.Baker, M.Shah, D.S.H. Rosenthal, M.Roussopoulos, P.Maniatis, T.Giuli, and P.Bungale. 'A fresh look at the reliability of long-term digital storage." EuroSys2006, Apr. 2006.
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- ^ Patterson, D., Hennessy, J. (2009). Computer Organization and Design. New York: Morgan Kaufmann Publishers. pp 604-605.
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{{cite web}}
: URL–wikilink conflict (help) - ^ Jim Gray: The Transaction Concept: Virtues and Limitations (Invited Paper) VLDB 1981: 144-154
- ^ ""Write hole" in RAID5, RAID6, RAID1, and other arrays". ZAR team. Retrieved 15 February 2012.
- ^ "Definition of write-back cache at SNIA dictionary".
- ^ a b c "Error recovery control with smartmontools". Retrieved 2011.
{{cite web}}
: Check date values in:|accessdate=
(help) - ^ These studies are: Gray, J (1990), Murphy and Gent (1995), Kuhn (1997), and Enriquez P. (2003).
- ^ Patterson, D., Hennessy, J. (2009), 574.
- ^ Mikko Peltoniemi (2012-08-07). "New RAID level recommendations from Dell". Retrieved 2012-12-01.
External links
![](http://upload.wikimedia.org/wikipedia/en/thumb/4/4a/Commons-logo.svg/30px-Commons-logo.svg.png)
- RAID at Curlie
- "Empirical Measurements of Disk Failure Rates and Error Rates", by Jim Gray and Catharine van Ingen, December 2005
- The mathematics of RAID-6, by H. Peter Anvin