CN107087031B - Storage resource load balancing method and device - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
Abstract
The invention discloses a storage resource load balancing method and device, which are applied to a storage management server in a data storage system, wherein the storage management server acquires equipment information carried in a write task of application equipment, calculates a task hash value corresponding to the write task according to the equipment information, compares the task hash value with node hash values of virtual nodes in a storage virtualization component, and selects physical storage resources corresponding to the virtual nodes meeting set rules as physical storage resources of the write task to be stored according to a comparison result. The device corresponding to the invention comprises a task receiving module and a task distributing module. The method and the device of the invention improve the performance of the services such as read-write retrieval and the like by ensuring the stability and the balance of the load.
Description
Technical Field
The invention belongs to the technical field of data storage, and particularly relates to a storage resource load balancing method and device.
Background
With the development of monitoring services, the monitoring scale is larger and larger, and the bearing of storage resources is examined. In order to improve the read-write performance of the monitoring service, the load of the storage resource needs to be balanced, and the pressure of a single resource is reduced. For example, as shown in fig. 1, a cloud storage system generally mounts a plurality of SAN storage resources on a CDV, and the traffic on each CDV needs to be evenly distributed to each storage resource to provide various service performances.
In the prior art, load balancing is often performed according to the number of read-write tasks and the capacity of a single storage resource, and when the capacity is sufficient, the storage resource with the least number of tasks is selected for use. The scheme is simple and easy to use, the load is balanced under the general condition, one task count is maintained on each storage resource, and the task number on each storage resource can be opened and closed according to the read-write task and can be updated in time. However, with the increase of storage services, the scheme has a complex network environment and has obvious disadvantages:
In the case of instantaneous intensive service, the task number can not be completely guaranteed to be balanced, so that load balance is achieved;
The complexity of the network environment, for example, when the file is failed to be closed, the number of tasks may be left, and at this time, the resources are selected according to the fewest number of tasks, which is actually not balanced;
Resources are selected according to the number of tasks, namely the distribution of files has great randomness, so that the number of directories on the resources is increased, and the performance of retrieval and reading services is reduced.
Disclosure of Invention
The invention aims to provide a storage resource load balancing method and a storage resource load balancing device, which avoid the defects when load balancing is carried out according to the number of tasks.
In order to achieve the purpose, the technical scheme of the invention is as follows:
A storage resource load balancing method is applied to a storage management server in a data storage system, the data storage system further comprises an application device and a storage virtualization component, the storage virtualization component comprises at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, each virtual node corresponds to virtual node information managed by the storage management server, and a node hash value calculated according to the virtual node information, the storage resource load balancing method comprises the following steps:
The method comprises the steps that a storage management server obtains equipment information carried in a writing task of application equipment, and a task hash value corresponding to the writing task is calculated according to the equipment information;
And comparing the task hash value with the node hash value of each virtual node in the storage virtualization component, and selecting the physical storage resource corresponding to the virtual node meeting the set rule as the physical storage resource of the write task to store according to the comparison result.
Preferably, the device information is a user directory code corresponding to the write task.
Preferably, the selecting a physical storage resource corresponding to a virtual node that meets a set rule as a physical storage resource of the write task for storage includes:
Selecting a virtual node with a first node hash value larger than a task hash value from virtual nodes sorted according to the node hash values;
And storing the physical storage resource where the virtual node is located as the physical storage resource of the write task.
Further, the method for load balancing of storage resources further includes:
And if the selected physical storage resources are not available or insufficient in capacity, calculating the number of the write tasks on all the available physical storage resources with enough capacity, and selecting the physical storage resource with the minimum number of the write tasks as the physical storage resource of the write task for storage.
Preferably, the total number of virtual nodes virtualized by the physical storage resources under the single storage virtualization component is not less than the maximum number of storage ways of the single storage virtualization component.
The present invention further provides a storage resource load balancing apparatus, which is applied to a storage management server in a data storage system, wherein the data storage system further includes an application device and a storage virtualization component, the storage virtualization component includes at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, each virtual node corresponds to virtual node information managed by the storage management server, and a node hash value calculated according to the virtual node information, and the storage resource load balancing apparatus includes:
The task receiving module is used for acquiring equipment information carried in a writing task of the application equipment and calculating a task hash value corresponding to the writing task according to the equipment information;
And the task allocation module is used for comparing the task hash value with the node hash value of each virtual node in the storage virtualization component, and selecting the physical storage resource corresponding to the virtual node meeting the set rule as the physical storage resource of the write task to store according to the comparison result.
Preferably, the device information is a user directory code corresponding to the write task.
Preferably, the task allocation module selects a physical storage resource corresponding to a virtual node that meets a set rule as a physical storage resource of the write task to store, and executes the following operations:
Selecting a virtual node with a first node hash value larger than a task hash value from virtual nodes sorted according to the node hash values;
And storing the physical storage resource where the virtual node is located as the physical storage resource of the write task.
Further, the task allocation module is further configured to:
And if the selected physical storage resources are not available or insufficient in capacity, calculating the number of the write tasks on all the available physical storage resources with enough capacity, and selecting the physical storage resource with the minimum number of the write tasks as the physical storage resource of the write task for storage.
Preferably, the total number of virtual nodes virtualized by the physical storage resources under the single storage virtualization component is not less than the maximum number of storage ways of the single storage virtualization component.
According to the storage resource load balancing method and device, the storage management server compares the task hash value with the node hash value of the virtual node in the storage virtualization component according to the task hash value corresponding to the write task, and selects the physical storage resource where the virtual node meeting the set rule is located from the virtual node as the physical storage resource of the write task to be stored according to the comparison result. Because the task hash value corresponding to the write task is fixed, the stability of load balancing is ensured, and a single application device is stored on a certain physical storage resource as much as possible. By adding the virtual nodes, the physical storage resources are dispersed as much as possible, the load balance is improved, the application devices are dispersed and stored on the physical storage resources as much as possible, and under the abnormal condition, the load balance adjustment is carried out by calculating the number of the writing tasks on the physical storage resources. And the performance of the services such as read-write retrieval and the like is improved by ensuring the stability and the balance of the load.
Drawings
Fig. 1 is a schematic structural diagram of a cloud storage system commonly used in video surveillance;
FIG. 2 is a schematic diagram of a storage virtualization component;
FIG. 3 is a flow chart of a method for load balancing of storage resources according to the present invention;
FIG. 4 is a graph of experimental data distribution;
Fig. 5 is a schematic structural diagram of a storage resource load balancing apparatus according to the present invention.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the drawings and examples, which should not be construed as limiting the present invention.
As shown in fig. 1, a commonly used scheme of a Cloud Direct Storage CDS (Cloud Direct Storage) in video monitoring is disclosed, in the Cloud Storage system, application devices include a webcam IPC, an encoder EC, or other data source devices, and video data shot by the IPC needs to be stored in a Storage resource. The Cloud storage Management server CDM (Cloud Direct Management) centrally and uniformly manages the underlying storage virtualization components CDV (Cloud Direct Virtual) to form a globally uniform Virtual storage space. Generally, a plurality of IP SAN/FC SAN/NAS storage devices are mounted on one CDV, and in this embodiment, one IP SAN/FCSAN/NAS storage device is referred to as one physical storage resource, that is, a plurality of physical storage resources are mounted on one CDV.
In the cloud storage system shown in fig. 1, when an application device is to perform reading and writing, a storage space which can be accessed is requested from CDM, video data is stored discretely in physical storage resources of each underlying standard, and when a certain physical storage resource fails, CDM automatically reallocates a new storage space to access the application device, thereby implementing reading and writing without service suspension, supporting dynamic capacity expansion and capacity reduction, and providing uninterrupted video and picture storage service. Meanwhile, various video services such as video live, video on demand playback, alarm management, defense deployment and withdrawal, map application and the like can be provided.
In this embodiment, a cloud storage commonly used in video monitoring shown in fig. 1 is taken as an example to describe in detail the storage resource load balancing method of the present invention, which is applied to a storage management server in a data storage system. In the technical scheme, the data storage system further comprises application equipment and a storage virtualization component, wherein the storage virtualization component comprises at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, each virtual node corresponds to virtual node information managed by the storage management server, and a node hash value calculated according to the virtual node information.
For example, as shown in FIG. 2, the physical storage resource has three Res1, Res2 and Res3, Res1 corresponds to virtual nodes Res1-1, Res1-2 and Res1-3, Res2 corresponds to virtual nodes Res2-1, Res2-2 and Res2-3, and Res3 corresponds to virtual nodes Res3-1, Res3-2 and Res 3-3. Res1-1, Res1-2, Res1-3, Res2-1, Res2-2, Res2-3, Res3-1, Res3-2 and Res3-3 are assumed to be node hash values corresponding to the virtual nodes, and are arranged in the size sequence of the node hash values in FIG. 2.
In an actual monitoring system, assuming that the maximum number of CDV storage paths is 512 paths, in this embodiment, each physical storage resource is virtualized into 32 virtual nodes, and when the total number of all virtual nodes is not greater than 512, the number of virtual nodes of each physical storage resource is increased, for example, 5 physical storage resources are provided, each physical storage resource is virtualized into 32 virtual nodes, and the total number of virtual nodes is only 160, at this time, the number of virtual nodes virtualized out of each physical storage resource needs to be increased, for example, the number of virtual nodes increased to each physical storage resource is 105, so that the total number of virtual nodes is greater than 512. By means of the setting, the total number of virtual nodes virtualized by physical storage resources under a single storage virtualization component is not less than the maximum storage path number of the single storage virtualization component, and each path of storage always has a virtual node which can be selected, so that subsequent load balancing is facilitated.
Only 3 physical storage resources are shown in fig. 2, and the virtual nodes are placed on a virtual line to indicate that the hash values of the virtual nodes are arranged from small to large, so that the virtual nodes are easier to select in the subsequent selection process. More physical storage resources can be configured as needed, and are not described herein again. Because the maximum number of the storage paths of a single CDV is limited, the total number of virtual nodes virtualized by physical storage resources under a single storage virtualization component in this embodiment is not less than the maximum number of the storage paths of the single storage virtualization component, and a virtual node can be selected for each path of storage, so that subsequent load balancing is facilitated.
In this embodiment, the storage management server may manage a plurality of storage virtualization components, each storage virtualization component includes at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, the total number of the virtual nodes is not less than the number of storage paths of the storage virtualization components, each virtual node corresponds to virtual node information managed by the storage management server, the virtual node information is usually a name of the virtual node, or other unique information such as a virtual path, where the virtual path is a path that is carried by the virtual node and used for pointing to a corresponding physical storage resource, and the storage management server may find a corresponding physical storage resource according to the virtual path of the virtual node. For example, according to the virtual path of the virtual node, a corresponding node HASH value is calculated by a HASH (HASH) function, and each virtual node records the virtual path and the node HASH value of its own virtual node.
As shown in fig. 3, a method for load balancing of storage resources in this embodiment includes:
The storage management server acquires equipment information carried in the writing task of the application equipment, and calculates a task hash value corresponding to the writing task according to the equipment information;
Comparing the task hash value with the node hash value of each virtual node in the storage virtualization component;
And according to the comparison result, selecting the physical storage resource corresponding to the virtual node meeting the set rule as the physical storage resource of the write task for storage.
Taking a cloud storage CDS commonly used in video monitoring in fig. 1 as an example, video data output by IPC needs to be written into a physical storage resource, a write task is sent to CDM, and CDM calculates a task hash value corresponding to the write task hash value through a set hash function. For example, the adopted hash functions are MD5, SHA and the like, and the MD5 algorithm is selected in the embodiment, so that MD5 has a very low collision probability and a good hash uniformity. And calculating the device information corresponding to the write task to obtain a task hash value, wherein the device information can be information such as the name and the serial number of the IPC or unique information such as user directory code. For example, each task in a video monitoring system corresponds to a respective user directory code, the user directory code is unique, and the task hash value is calculated by adopting the user directory code.
For example, a typical user directory code is as follows:
256GB001#1885365065_47640
Because each user directory code in the video monitoring system is unique, different hash values can be obtained through a hash function, and in the service with the general scale (the maximum storage number of each CDV is 512 paths, and the maximum physical storage resource number is 128), the write task can be ensured to be dispersed to each physical storage resource. And the user directory is fixed and stable, the task hash value obtained by the hash function is the same every time, the physical storage resource can be selected every time under the condition that the physical storage resource is available, and when the physical storage resource is recovered from the abnormal state, the resource can be selected again. Therefore, the stability of resource selection is ensured, namely the same write task is written into the same physical storage resource. Therefore, other services such as subsequent playback and the like can be read more conveniently, and the service performance in the system is improved.
Assuming that the calculated task hash value is hash (UsrDirCode), comparing the task hash value with node hash values of virtual nodes in the storage virtualization component, selecting the virtual nodes for writing the task according to a set rule, for example, selecting a virtual node with a first node hash value larger than the hash (UsrDirCode) from the virtual nodes sorted according to the node hash values, and sorting the virtual nodes according to the node hash values to facilitate searching. Assuming that the node is res2-2 and the corresponding physical storage resource is res2, a write operation is performed on res 2. The set rule can be adjusted during selection, and the selection is not limited to the selection of a virtual node with the hash value of the first node larger than the hash (UsrDirCode), but also can be the selection of a virtual node with the hash value of the first node smaller than the hash (UsrDirCode).
Further, if the physical storage resource is unavailable or insufficient in capacity, the number of write tasks on all available physical storage resources with sufficient capacity is calculated, the physical storage resource with the minimum number of write tasks is selected as the physical storage resource of the write task to be stored, and the balance can be dynamically adjusted under the abnormal condition. In addition, if the physical storage resource is not available or the capacity is insufficient, the number of write tasks on all available physical storage resources with sufficient capacity can be calculated, and the virtual node on the physical storage resource with the number of write tasks lower than the set threshold value can be selected. The capacity of the physical storage resource can be automatically detected and reported to the storage management server, when the capacity of the physical storage resource is smaller than a set threshold value, the capacity of the physical storage resource is considered to be insufficient, or when the capacity of the physical storage resource is smaller than the storage space capacity required by the write task, the capacity of the physical storage resource is considered to be insufficient, otherwise, the capacity is considered to be sufficient. The specific selection is based on the equipartition principle, and is selected on the available physical storage resources with sufficient capacity, which is not described herein again.
It should be noted that the technical solution of this embodiment is also applicable to load balancing of storage resources in other storage systems, for example, in a television program storage system, an application device is a recording front end of each radio station, and a storage management server of the application device is a storage management server that manages storage resources instead of CDM in this embodiment. Namely, the technical scheme is suitable for all data storage systems for data storage management.
As shown in fig. 4, in one embodiment, 92 ways of storage are configured, the number of physical storage resources is 20, and the obtained storage distribution result has a vertical axis representing the number of storage write tasks on the physical storage resources and a horizontal axis representing the physical storage resources. The storage result meets the requirement that the deviation of the number of the storage writing tasks on all resources (the maximum storage number-the minimum storage number) is within 5, and the overall distribution is balanced.
As shown in fig. 5, a storage resource load balancing apparatus according to this embodiment is applied to a storage management server in a data storage system. The data storage system of the embodiment further includes an application device and a storage virtualization component, where the storage virtualization component includes at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, and each virtual node corresponds to virtual node information managed by the storage management server, and a node hash value calculated according to the virtual node information. The storage resource load balancing device of the embodiment comprises:
The task receiving module is used for acquiring equipment information carried in a writing task of the application equipment and calculating a task hash value corresponding to the writing task according to the equipment information;
And the task allocation module is used for comparing the task hash value with the node hash value of each virtual node in the storage virtualization component, and selecting the physical storage resource corresponding to the virtual node meeting the set rule as the physical storage resource of the write task to store according to the comparison result.
Corresponding to the storage resource load balancing method of fig. 3, the storage resource load balancing apparatus of this embodiment:
Preferably, the device information is a user directory code corresponding to the write task.
Preferably, the task allocation module selects a physical storage resource corresponding to a virtual node that meets a set rule as a physical storage resource of the write task to store, and executes the following operations:
Selecting a virtual node with a first node hash value larger than a task hash value from virtual nodes sorted according to the node hash values;
And storing the physical storage resource where the virtual node is located as the physical storage resource of the write task.
Preferably, when the selected physical storage resource is not available or has insufficient capacity, the task allocation module is further configured to:
And if the selected physical storage resources are not available or insufficient in capacity, calculating the number of the write tasks on all the available physical storage resources with enough capacity, and selecting the physical storage resource with the minimum number of the write tasks for storage.
Similarly, in this embodiment, the total number of virtual nodes virtualized by physical storage resources under a single storage virtualization component is not less than the maximum number of storage ways of the single storage virtualization component, so that a virtual node can be selected for each storage way, and the virtual node can be selected conveniently according to the task hash value of the write task, thereby realizing load balancing.
The above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and the essence of the present invention, but these corresponding changes and modifications should fall within the protection scope of the appended claims.
Claims (10)
1. A storage resource load balancing method is applied to a storage management server in a data storage system, the data storage system further comprises an application device and a storage virtualization component, the storage virtualization component comprises at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, each virtual node corresponds to virtual node information managed by the storage management server, and a node hash value calculated according to the virtual node information, the storage resource load balancing method comprises the following steps:
The method comprises the steps that a storage management server obtains equipment information carried in a writing task of application equipment, and a task hash value corresponding to the writing task is calculated according to the equipment information;
And comparing the task hash value with the node hash value of each virtual node in the storage virtualization component, and selecting the physical storage resource corresponding to the virtual node meeting the set rule as the physical storage resource of the write task to store according to the comparison result.
2. The storage resource load balancing method according to claim 1, wherein the device information is a user directory code corresponding to the write task.
3. The method for load balancing of storage resources according to claim 1, wherein the selecting the physical storage resources corresponding to the virtual nodes that satisfy the set rule as the physical storage resources of the write task for storage comprises:
Selecting a virtual node with a first node hash value larger than a task hash value from virtual nodes sorted according to the node hash values;
And storing the physical storage resource where the virtual node is located as the physical storage resource of the write task.
4. The storage resource load balancing method according to claim 1, further comprising:
And if the selected physical storage resources are not available or insufficient in capacity, calculating the number of the write tasks on all the available physical storage resources with enough capacity, and selecting the physical storage resource with the minimum number of the write tasks as the physical storage resource of the write task for storage.
5. The storage resource load balancing method according to claim 1, wherein a total number of virtual nodes virtualized by the physical storage resources under a single storage virtualization component is not less than a maximum number of storage ways of the single storage virtualization component.
6. A storage resource load balancing device is applied to a storage management server in a data storage system, the data storage system further comprises an application device and a storage virtualization component, the storage virtualization component comprises at least two physical storage resources, each physical storage resource virtualizes at least two virtual nodes, each virtual node corresponds to virtual node information managed by the storage management server, and a node hash value calculated according to the virtual node information, the storage resource load balancing device comprises:
The task receiving module is used for acquiring equipment information carried in a writing task of the application equipment and calculating a task hash value corresponding to the writing task according to the equipment information;
And the task allocation module is used for comparing the task hash value with the node hash value of each virtual node in the storage virtualization component, and selecting the physical storage resource corresponding to the virtual node meeting the set rule as the physical storage resource of the write task to store according to the comparison result.
7. The storage resource load balancing apparatus according to claim 6, wherein the device information is a user directory code corresponding to the write task.
8. The storage resource load balancing device according to claim 6, wherein the task allocation module selects a physical storage resource corresponding to a virtual node that meets a set rule as a physical storage resource of the write task to store, and executes the following operations:
Selecting a virtual node with a first node hash value larger than a task hash value from virtual nodes sorted according to the node hash values;
And storing the physical storage resource where the virtual node is located as the physical storage resource of the write task.
9. The storage resource load balancing apparatus of claim 6, wherein the task allocation module is further configured to:
And if the selected physical storage resources are not available or insufficient in capacity, calculating the number of the write tasks on all the available physical storage resources with enough capacity, and selecting the physical storage resource with the minimum number of the write tasks as the physical storage resource of the write task for storage.
10. The storage resource load balancing apparatus according to claim 6, wherein a total number of virtual nodes virtualized by the physical storage resources under a single storage virtualization component is not less than a maximum number of storage ways of the single storage virtualization component.
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| CN109684080A (en) * | 2018-12-10 | 2019-04-26 | 平安科技（深圳）有限公司 | Centralized method for scheduling task, system and storage medium |
| CN109669775A (en) * | 2018-12-10 | 2019-04-23 | 平安科技（深圳）有限公司 | Distributed task dispatching method, system and storage medium |
| CN112291292B (en) * | 2019-07-26 | 2023-04-07 | 浙江宇视科技有限公司 | Data storage method, device, equipment and medium |
| CN111031567B (en) * | 2020-01-14 | 2022-06-24 | 南通先进通信技术研究院有限公司 | Flow statistical method for core network equipment |
| CN111708606A (en) * | 2020-06-16 | 2020-09-25 | 杨海朝 | Virtual computer storage service system and use method thereof |
| CN112468590B (en) * | 2020-11-27 | 2023-02-07 | 杭州海康威视系统技术有限公司 | Storage resource mounting method and device |
| CN117194439B (en) * | 2023-11-07 | 2024-03-22 | 杭州优云科技有限公司 | Method for creating resource storage system, electronic equipment and storage medium |
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