CN111142777A - Big data storage system - Google Patents
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- CN111142777A CN111142777A CN201811303926.2A CN201811303926A CN111142777A CN 111142777 A CN111142777 A CN 111142777A CN 201811303926 A CN201811303926 A CN 201811303926A CN 111142777 A CN111142777 A CN 111142777A
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- 238000013500 data storage Methods 0.000 title claims abstract description 63
- 238000001514 detection method Methods 0.000 claims abstract description 30
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims description 8
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/0671—In-line storage system
- G06F3/0683—Plurality of storage devices
- G06F3/0689—Disk arrays, e.g. RAID, JBOD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/08—Error detection or correction by redundancy in data representation, e.g. by using checking codes
- G06F11/10—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3037—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a memory, e.g. virtual memory, cache
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0662—Virtualisation aspects
- G06F3/0664—Virtualisation aspects at device level, e.g. emulation of a storage device or system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
Abstract
The invention discloses a big data storage system, a big data storage module and a big data storage module, wherein the big data storage module is used for providing data storage; the shared virtual machine is used for supporting a storage sharing function; the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and the detection standby virtual machine is used for monitoring the shared virtual machine, and replacing the shared virtual machine to work when detecting that the shared virtual machine cannot work normally. The big data storage module comprises: a first storage device, a second storage device, a data receiver, and a storage controller configured to determine whether to store data on the first storage device or the second storage device based on an indicator; the big data storage system has good use stability.
Description
Technical Field
The invention relates to a big data storage system.
Background
Big data refers to a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth-rate and diversified information asset which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode. Big data includes structured, semi-structured, and unstructured data, with unstructured data becoming an increasingly dominant part of the data. The existing society is a society with high-speed development, developed science and technology and information circulation, people communicate with each other more and more closely, the life is more and more convenient, and big data is a product of the high-tech era.
Stability of big data storage systems is one of the important performance indicators, and those skilled in the art expect that big data storage systems can be more stable.
Disclosure of Invention
The invention aims to provide a big data storage system with stable performance.
In order to solve the problems, the invention adopts the following technical scheme:
a big data storage system comprises
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
Preferably, the big data storage module comprises:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
Preferably, the working method for detecting the standby virtual machine includes the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
Preferably, the first storage device is a RAID 5-based hard disk group and the second storage device is a RAID 0-based hard disk group.
RAID5 is a storage solution that addresses storage performance, data security, and storage cost. RAID5 may provide data security for the system, but the security level is lower than that of Mirror and the utilization rate of disk space is higher than that of Mirror. RAID5 writes data at a slightly slower rate than a single disk write operation. Meanwhile, as a plurality of data correspond to one parity check information, the RAID5 has high utilization rate of disk space and relatively low storage cost. RAID5 does not back up data, but stores data and parity information corresponding thereto on the individual disks making up RAID5, and the parity information and corresponding data are stored on different disks, respectively. When one disk of RAID5 is damaged, the damaged data is recovered by using the remaining data and the corresponding parity information, and the data storage security is good.
The principle behind RAID0 for improving storage performance is to distribute consecutive data across multiple disks for access so that a system with data requests can be executed by multiple disks in parallel, each disk executing its own portion of the data request. The parallel operation on the data can fully utilize the bandwidth of the bus and obviously improve the overall access performance of the disk; RAID0 has the characteristics that make it be particularly useful for the field that has higher performance requirement, and is not too much concerned with data security, such as graphic workstation. For individual users, RAID0 is also an excellent choice to improve hard disk storage performance.
The RAID 5-based hard disk group and the RAID 0-based hard disk group are adopted integrally, and can be selectively stored in two different hard disk groups according to the property of data, so that the effect of data stabilization can be achieved and the data storage rate can be improved when a user performs his own job.
Preferably, the hard disk group of RAID0 is connected to a NAS network storage through a physical link and a network, and the NAS network storage is configured to backup data on the hard disk group of RAID0, and directly provide user data for the application virtual machine when the hard disk group of RAID0 is damaged.
The NAS has an automatic log function and can automatically record access information of all users. Continuous resource service can be ensured, and the safety of resource data can be effectively protected. An environment for online backup of data is provided. The NAS supports an external tape drive, can effectively transmit data from a server to the external tape drive, ensures the safety and quick backup of the data, and can effectively make up for the defect of a hard disk set of the RAID 0.
Preferably, the shared virtual machine, the application virtual machine and the detection standby virtual machine belong to the same physical server.
Preferably, each application virtual machine reads data of the first storage disk through the shared virtual machine.
The invention has the beneficial effects that: the shared virtual machine is monitored by configuring the detection standby virtual machine, and once the shared virtual machine is detected to be incapable of working normally, the shared virtual machine is replaced immediately to work, so that the stability of the system can be greatly guaranteed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram of a big data storage system according to the present invention.
FIG. 2 is a flowchart illustrating a process of detecting a standby virtual machine in a big data storage system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example 1
As shown in FIG. 1, a big data storage system comprises
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
In this embodiment, the big data storage module includes:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
Example 2
1-2, a big data storage system includes
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
In this embodiment, the big data storage module includes:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
In this embodiment, the working method for detecting a standby virtual machine includes the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
Example 3
1-2, a big data storage system includes
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
In this embodiment, the big data storage module includes:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
In this embodiment, the working method for detecting a standby virtual machine includes the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
In this embodiment, the first storage device is a hard disk group based on RAID5, and the second storage device is a hard disk group based on RAID 0.
Example 4
1-2, a big data storage system includes
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
In this embodiment, the big data storage module includes:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
In this embodiment, the working method for detecting a standby virtual machine includes the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
In this embodiment, the first storage device is a hard disk group based on RAID5, and the second storage device is a hard disk group based on RAID 0.
In this embodiment, the hard disk group of RAID0 is connected to a NAS network storage through a physical link and a network, and the NAS network storage is used to backup data on the hard disk group of RAID0, and when the hard disk group of RAID0 is damaged, user data is directly provided for the application virtual machine.
Example 5
1-2, a big data storage system includes
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
In this embodiment, the big data storage module includes:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
In this embodiment, the working method for detecting a standby virtual machine includes the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
In this embodiment, the first storage device is a hard disk group based on RAID5, and the second storage device is a hard disk group based on RAID 0.
In this embodiment, the hard disk group of RAID0 is connected to a NAS network storage through a physical link and a network, and the NAS network storage is used to backup data on the hard disk group of RAID0, and when the hard disk group of RAID0 is damaged, user data is directly provided for the application virtual machine.
In this embodiment, the shared virtual machine, the application virtual machine, and the detection standby virtual machine belong to the same physical server.
Example 6
1-2, a big data storage system includes
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
In this embodiment, the big data storage module includes:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
In this embodiment, the working method for detecting a standby virtual machine includes the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
In this embodiment, the first storage device is a hard disk group based on RAID5, and the second storage device is a hard disk group based on RAID 0.
In this embodiment, the hard disk group of RAID0 is connected to a NAS network storage through a physical link and a network, and the NAS network storage is used to backup data on the hard disk group of RAID0, and when the hard disk group of RAID0 is damaged, user data is directly provided for the application virtual machine.
In this embodiment, the shared virtual machine, the application virtual machine, and the detection standby virtual machine belong to the same physical server.
In this embodiment, each application virtual machine reads data of the first storage disk through the shared virtual machine.
The invention has the beneficial effects that: the shared virtual machine is monitored by configuring the detection standby virtual machine, and once the shared virtual machine is detected to be incapable of working normally, the shared virtual machine is replaced immediately to work, so that the stability of the system can be greatly guaranteed.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that are not thought of through the inventive work should be included in the scope of the present invention.
Claims (7)
1. A big data storage system, comprising: comprises that
The big data storage module is used for providing data storage;
the shared virtual machine is used for supporting a storage sharing function;
the application virtual machine is connected with the shared virtual machine through an internal bus and used for receiving a user request and reading data of the storage disk through the shared virtual machine according to the user request; and
and the detection standby virtual machine is used for monitoring the shared virtual machine, and when the shared virtual machine is detected to be incapable of working normally, the detection standby virtual machine replaces the shared virtual machine to work.
2. A big data storage system as in claim 1, wherein: the big data storage module comprises:
the first storage device is used for storing important resources;
the second storage device is used for storing temporary resources and resources needing to be stored quickly;
a data receiver configured to receive data to be stored in a data storage device and an indicator indicating a storage profile for the data; and
a storage controller configured to determine whether to store data on the first storage device or to store the data on the second storage device based on an indicator.
3. A big data storage system according to claim 2, wherein: the working method for detecting the standby virtual machine comprises the following steps:
1) monitoring the shared virtual machine;
2) when the shared virtual machine is detected to be incapable of working normally, applying for registration to the application virtual machine, so that the detection standby virtual machine obtains the access right of the storage resource corresponding to the shared virtual machine;
3) and restarting the shared virtual machine and performing alarm processing.
4. A big data storage system according to claim 3, wherein: the first storage device is a RAID 5-based hard disk group and the second storage device is a RAID 0-based hard disk group.
5. A big data storage system according to claim 4, wherein: the hard disk group of the RAID0 is connected with an NAS network storage through a physical link and a network, the NAS network storage is used for backing up data on the hard disk group of the RAID0, and when the hard disk group of the RAID0 is damaged, user data are directly provided for the application virtual machine.
6. A big data storage system according to claim 5, wherein: the shared virtual machine, the application virtual machine and the detection standby virtual machine belong to the same physical server.
7. A big data storage system according to claim 6, wherein: and each application virtual machine reads the data of the first storage disk through the shared virtual machine.
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| CN201811303926.2A CN111142777A (en) | 2018-11-03 | 2018-11-03 | Big data storage system |
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