CN111338580B - Method and equipment for optimizing disk performance - Google Patents
Method and equipment for optimizing disk performance Download PDFInfo
- Publication number
- CN111338580B CN111338580B CN202010132619.3A CN202010132619A CN111338580B CN 111338580 B CN111338580 B CN 111338580B CN 202010132619 A CN202010132619 A CN 202010132619A CN 111338580 B CN111338580 B CN 111338580B
- Authority
- CN
- China
- Prior art keywords
- disk
- information
- node
- main control
- child
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000005457 optimization Methods 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims 2
- 238000004590 computer program Methods 0.000 description 6
- 238000013515 script Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013142 basic testing Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
Classifications
-
- 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
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
- G06F3/0607—Improving or facilitating administration, e.g. storage management by facilitating the process of upgrading existing storage systems, e.g. for improving compatibility between host and storage device
-
- 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
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
- G06F3/0659—Command handling arrangements, e.g. command buffers, queues, command scheduling
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides a method and a device for optimizing disk performance, wherein the method comprises the following steps: respectively setting nodes in the system as a main control node and a plurality of sub-nodes; adding a plurality of disk strategies in the main control node, collecting the disk information of the main control node and executing the corresponding disk strategies according to the disk information of the main control node; collecting the disk information of the child nodes in each child node, and sending the disk information of the child nodes to the main control node; and sending the corresponding disk strategy to the child node through the main control node according to the disk information of the child node, and executing the received disk strategy by the child node. By using the method and the equipment, the user can avoid complicated manual operation, the working efficiency is improved, and the performance problem caused by the error reason of each distributed node caused by manual execution can be avoided.
Description
Technical Field
The field relates to the field of computers, and more particularly to a method and apparatus for disk performance optimization.
Background
The distributed system has occupied a place in many industries and fields due to the advantages of easy expansibility, system modularization, high development and release speed and the like. After a large-scale distributed system is deployed, the performance mode of the basic hardware of each distributed node also needs to be adjusted to meet the performance requirement of the application of the distributed system, especially the adjustment of the disk subsystem which is often a bottleneck. After a traditional distributed system is deployed, whether a disk subsystem scheduling mode of a basic system is suitable for current application or not and whether the disk subsystem scheduling mode is in an optimal performance state or not needs to be manually and respectively subjected to basic test and optimization on each distributed node, so that the disk subsystem is optimal in performance of application adaptation.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a device for optimizing disk performance, which enable a user to avoid tedious manual operations, improve work efficiency, and avoid performance problems caused by errors of distributed nodes due to manual execution.
In view of the above object, an aspect of the embodiments of the present invention provides a method for optimizing disk performance, including the following steps:
respectively setting nodes in the system as a main control node and a plurality of sub-nodes;
adding a plurality of disk strategies in the main control node, collecting the disk information of the main control node and executing the corresponding disk strategies according to the disk information of the main control node;
collecting the disk information of the child nodes in each child node, and sending the disk information of the child nodes to the main control node;
and sending the corresponding disk strategy to the child node through the main control node according to the disk information of the child node, and executing the received disk strategy by the child node.
According to one embodiment of the invention, the disk policy comprises:
disk scheduling type, disk queue, and user specified policy.
According to one embodiment of the present invention, the disk information includes:
disk ID, disk type, node IP, and host information.
According to an embodiment of the present invention, collecting disk information of a child node in each child node, and sending the disk information of the child node to a master node includes:
and after collecting the disk ID, the disk type and the IP of the child node, the child node adds the IP of the main control node and sends the IP to the main control node through the network according to a format formulated by the system.
According to an embodiment of the present invention, sending, by the master node, the corresponding disk policy to the child node according to the disk information of the child node includes:
the master control node continuously monitors information sources submitted by the child nodes;
after responding to the monitored information source, extracting the IP sent by the information source and the disk type information in the information source;
and selecting a corresponding disk strategy according to the disk type, and sending the disk strategy to the child node corresponding to the IP.
In another aspect of the embodiments of the present invention, there is also provided an apparatus for optimizing disk performance, the apparatus including:
the setting module is configured to set the nodes in the system as a main control node and a plurality of sub-nodes respectively;
the adding module is configured to add a plurality of disk strategies in the main control node, collect the disk information of the main control node and execute the corresponding disk strategies according to the disk information of the main control node;
the collection module is configured to collect the disk information of the child nodes in each child node and send the disk information of the child nodes to the main control node;
and the sending module is configured to send the corresponding disk strategy to the child node through the main control node according to the disk information of the child node, and the child node executes the received disk strategy.
According to one embodiment of the invention, the disk policy comprises:
disk scheduling type, disk queue, and user specified policy.
According to one embodiment of the present invention, the disk information includes:
disk ID, disk type, node IP, and host information.
According to an embodiment of the present invention, the collecting module is further configured to add the IP of the main control node after the child node collects the disk ID of the child node, the disk type, and the IP of the child node, and send the IP to the main control node through the network according to a format established by the system.
According to one embodiment of the invention, the sending module is further configured to:
enabling the main control node to continuously monitor information sources submitted by the child nodes;
after responding to the monitored information source, extracting the IP sent by the information source and the disk type information in the information source;
and selecting a corresponding disk strategy according to the disk type, and sending the disk strategy to the child node corresponding to the IP.
The invention has the following beneficial technical effects: in the method for optimizing the disk performance provided by the embodiment of the invention, the nodes in the system are respectively set as the main control node and a plurality of sub-nodes; adding a plurality of disk strategies in the main control node, collecting the disk information of the main control node and executing the corresponding disk strategies according to the disk information of the main control node; collecting the disk information of the child nodes in each child node, and sending the disk information of the child nodes to the main control node; according to the technical scheme, the main control node sends the corresponding disk strategy to the child nodes according to the disk information of the child nodes, and the child nodes execute the received disk strategy, so that a user can avoid complicated manual operation, the working efficiency is improved, and the performance problem caused by the error reason of each distributed node due to manual execution can be avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described 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 that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a method of disk performance optimization according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of an apparatus for disk performance optimization according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
In view of the above objects, a first aspect of embodiments of the present invention proposes an embodiment of a method for disk performance optimization. Fig. 1 shows a schematic flow diagram of the method.
As shown in fig. 1, the method may include the steps of:
s1, setting the nodes in the system as a main control node and a plurality of sub-nodes respectively;
s2 adding multiple disk strategies in the main control node, collecting the disk information of the main control node and executing the corresponding disk strategies according to the disk information of the main control node, wherein the user can customize the disk strategies according to experience, the strategies include disk scheduling types, disk queues, user characteristic strategies and the like which affect the basic performance of the disk, the strategies can be presented to the user in the form of option dialog frames or self-filling by the user, and after the user finishes the configuration, the strategies are converted into shell scripts named by the disk types and stored in the main control node according to the rules of the disk scheduling types and the like for being used by the issuing entity or the child node;
s3, collecting the disk information of the child nodes in each child node, sending the disk information of the child nodes to the main control node, and uniformly judging which strategy the disk needs to execute by the main control node to optimize the disk performance;
s4, the main control node sends the corresponding disk strategy to the child node according to the disk information of the child node, the child node executes the received disk strategy, after the main control node obtains the disk information, the main control node sends the corresponding optimized strategy to the corresponding child node according to the information, and the child node executes the strategy after receiving the strategy, thereby realizing the purpose of optimizing the disk performance.
The invention mainly designs a set of automatic disk performance optimization method based on a Linux distributed system. In the design, the purpose of optimizing the disk performance of each node is realized by setting the main control node and the child nodes and respectively executing own tasks. The master control node can formulate an experience strategy for disk optimization, judge which mode needs to be deployed as an optimal disk performance strategy through collected master control node disk information or child node disk information, and finally issue the judged strategy to the master control node or the child node to execute the strategy. And the child node mainly collects the disk information per se, reports the disk information to the main control node, and executes the strategy to optimize the disk performance after receiving the disk strategy returned by the main control node. Through the information communication and the main control node processing mechanism designed between the main control node and the sub-nodes, the purpose that the main control node sends the setting strategy, and the sub-nodes execute the setting strategy and adjust the optimal strategy of the self disk adaptive application performance is achieved, so that the working efficiency of users can be improved.
Through the technical scheme of the invention, the user can avoid complicated manual operation, the working efficiency is improved, and the performance problem caused by the error of each distributed node caused by manual execution can be avoided.
In a preferred embodiment of the present invention, the disk policy includes:
disk scheduling type, disk queue, and user specified policy.
In a preferred embodiment of the present invention, the disk information includes:
disk ID, disk type, node IP, and host information. The master node and the slave node collect information including a disk ID, a disk type (for example, a disk is an SSD or an HDD), an IP or a host and the like.
In a preferred embodiment of the present invention, collecting the disk information of the child node in each child node, and sending the disk information of the child node to the master node includes:
and after collecting the disk ID, the disk type and the IP of the child node, the child node adds the IP of the main control node and sends the IP to the main control node through the network according to a format formulated by the system. The child node collects the disk information per se, and mainly collects information including a disk ID, a disk type (for example, the disk is an SSD or an HDD), an IP per se or a host and the like. And after the child nodes collect the information, adding the address of the main control node, and transmitting the information to the main control node through the network according to a format formulated by the system. After receiving the disk information, the main control node sends the corresponding optimized strategy to the corresponding child node according to the information, and the child node executes the strategy after receiving the strategy, so that the purpose of optimizing the disk performance can be realized.
In a preferred embodiment of the present invention, sending, by the master node, the corresponding disk policy to the child node according to the disk information of the child node includes:
the master control node continuously monitors information sources submitted by the child nodes;
after responding to the monitored information source, extracting the IP sent by the information source and the disk type information in the information source;
and selecting a corresponding disk strategy according to the disk type, and sending the disk strategy to the child node corresponding to the IP.
The master control node also needs to collect information including a disk ID, a disk type (for example, the disk is an SSD or an HDD), an IP of the master control node or a host, and submit an information source to the master control node. After the user makes the strategy script to be stored and effective, the main control node continuously monitors whether the information source is from the child node or submitted by the main control node according to whether the local port receives new message information. When a new information source is monitored, information such as the emitting place of the information source and the type of a disk carried in the information source is extracted. And selecting a corresponding strategy script named by the disk type according to the disk type, and then issuing the strategy script according to the information source.
After the master control node controls and judges the information source and the selected strategy, if the information source is judged to be the information source, the execution strategy is submitted to the master control node for execution; otherwise, after the information source is judged to be a child node information source, the corresponding strategy is directly sent according to the node IP or the host name in the information source, and the child node receives the strategy and executes the strategy to achieve the purpose of optimizing the disk performance.
Through the technical scheme of the invention, the user can avoid complicated manual operation, the working efficiency is improved, and the performance problem caused by the error of each distributed node caused by manual execution can be avoided.
It should be noted that, as will be understood by those skilled in the art, all or part of the processes in the methods of the above embodiments may be implemented by instructing relevant hardware through a computer program, and the above programs may be stored in a computer-readable storage medium, and when executed, the programs may include the processes of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The embodiments of the computer program may achieve the same or similar effects as any of the above-described method embodiments.
Furthermore, the method disclosed according to an embodiment of the present invention may also be implemented as a computer program executed by a CPU, and the computer program may be stored in a computer-readable storage medium. The computer program, when executed by the CPU, performs the above-described functions defined in the method disclosed in the embodiments of the present invention.
In view of the above object, a second aspect of the embodiments of the present invention proposes an apparatus for optimizing disk performance, as shown in fig. 2, the apparatus 200 includes:
a setting module 201, wherein the setting module 201 is configured to set nodes in the system as a main control node and a plurality of sub-nodes respectively;
the adding module 202, the adding module 202 is configured to add a plurality of disk policies in the master control node, collect disk information of the master control node and execute corresponding disk policies according to the disk information of the master control node;
the collection module 203 is configured to collect the disk information of the child node in each child node, and send the disk information of the child node to the master control node;
and the sending module 204, where the sending module 204 is configured to send the corresponding disk policy to the child node through the master control node according to the disk information of the child node, and the child node executes the received disk policy.
In a preferred embodiment of the present invention, the disk policy includes:
disk scheduling type, disk queue, and user specified policy.
In a preferred embodiment of the present invention, the disk information includes:
disk ID, disk type, node IP, and host information.
In a preferred embodiment of the present invention, the collecting module is further configured to add the IP of the main control node after the child node collects the disk ID of the child node, the disk type, and the IP of the child node, and send the IP to the main control node through the network according to a format established by the system.
In a preferred embodiment of the present invention, the sending module is further configured to:
enabling the main control node to continuously monitor information sources submitted by the child nodes;
after responding to the monitored information source, extracting the IP sent by the information source and the disk type information in the information source;
and selecting a corresponding disk strategy according to the disk type, and sending the disk strategy to the child node corresponding to the IP.
It should be particularly noted that the embodiment of the system described above employs the embodiment of the method described above to specifically describe the working process of each module, and those skilled in the art can easily think that the modules are applied to other embodiments of the method described above.
Further, the above-described method steps and system elements or modules may also be implemented using a controller and a computer-readable storage medium for storing a computer program for causing the controller to implement the functions of the above-described steps or elements or modules.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
The embodiments described above, particularly any "preferred" embodiments, are possible examples of implementations and are presented merely to clearly understand the principles of the invention. Many variations and modifications may be made to the above-described embodiments without departing from the spirit and principles of the technology described herein. All such modifications are intended to be included within the scope of this disclosure and protected by the following claims.
Claims (10)
1. A method for optimizing disk performance, comprising the steps of:
respectively setting nodes in the system as a main control node and a plurality of sub-nodes;
adding a plurality of disk strategies in the main control node, collecting the disk information of the main control node and executing the corresponding disk strategies according to the disk information of the main control node;
collecting the disk information of the child nodes in each child node, and sending the disk information of the child nodes to the main control node;
and sending the corresponding disk strategy to the child node through the master control node according to the disk information of the child node, and executing the received disk strategy by the child node.
2. The method of claim 1, wherein the disk policy comprises:
disk scheduling type, disk queue, and user specified policy.
3. The method of claim 1, wherein the disk information comprises:
disk ID, disk type, node IP, and host information.
4. The method of claim 1, wherein collecting the disk information of the child nodes in each of the child nodes, and sending the disk information of the child nodes to the master node comprises:
and after collecting the disk ID, the disk type and the IP of the child node, the child node adds the IP of the main control node and sends the IP to the main control node through a network according to a format formulated by a system.
5. The method of claim 1, wherein sending, by the master node, the corresponding disk policy to the child node according to the disk information of the child node comprises:
the master control node continuously monitors information sources submitted by the child nodes;
after responding to the monitoring of the information source, extracting the IP sent by the information source and the disk type information in the information source;
and selecting a corresponding disk strategy according to the disk type, and sending the disk strategy to the child node corresponding to the IP.
6. An apparatus for disk performance optimization, the apparatus comprising:
the system comprises a setting module, a setting module and a control module, wherein the setting module is configured to set nodes in the system as a main control node and a plurality of sub-nodes respectively;
the adding module is configured to add a plurality of disk strategies in the main control node, collect disk information of the main control node and execute corresponding disk strategies according to the disk information of the main control node;
the collection module is configured to collect the disk information of the child nodes in each child node and send the disk information of the child nodes to the main control node;
and the sending module is configured to send the corresponding disk strategy to the child node through the main control node according to the disk information of the child node, and the child node executes the received disk strategy.
7. The apparatus of claim 6, wherein the disk policy comprises:
disk scheduling type, disk queue, and user specified policy.
8. The apparatus of claim 6, wherein the disk information comprises:
disk ID, disk type, node IP, and host information.
9. The apparatus according to claim 6, wherein the collecting module is further configured to join the IP of the main control node after the child node collects the disk ID of the child node, the disk type, and the IP of the child node, and send the IP to the main control node through a network according to a format established by a system.
10. The device of claim 6, wherein the sending module is further configured to:
enabling the master control node to continuously monitor information sources submitted by child nodes;
after responding to the monitoring of the information source, extracting the IP sent by the information source and the disk type information in the information source;
and selecting a corresponding disk strategy according to the disk type, and sending the disk strategy to the child node corresponding to the IP.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010132619.3A CN111338580B (en) | 2020-02-29 | 2020-02-29 | Method and equipment for optimizing disk performance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010132619.3A CN111338580B (en) | 2020-02-29 | 2020-02-29 | Method and equipment for optimizing disk performance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111338580A CN111338580A (en) | 2020-06-26 |
| CN111338580B true CN111338580B (en) | 2021-12-21 |
Family
ID=71182101
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010132619.3A Active CN111338580B (en) | 2020-02-29 | 2020-02-29 | Method and equipment for optimizing disk performance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111338580B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115543222B (en) * | 2022-11-30 | 2023-03-10 | 苏州浪潮智能科技有限公司 | Storage optimization method, system, equipment and readable storage medium |
| CN117311637B (en) * | 2023-10-12 | 2024-07-19 | 汇钜存储科技(东莞)有限公司 | Performance and data security adjustable storage system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1545030A (en) * | 2003-11-14 | 2004-11-10 | 清华大学 | Data distribution dynamic mapping method based on magnetic disc characteristic |
| CN106446303A (en) * | 2016-12-16 | 2017-02-22 | 郑州云海信息技术有限公司 | System and method for deploying large-scale cluster file system |
| CN108733326A (en) * | 2018-05-25 | 2018-11-02 | 郑州云海信息技术有限公司 | A kind of disk processing method and processing device |
| CN110784546A (en) * | 2019-10-31 | 2020-02-11 | 浙江大华技术股份有限公司 | Distributed cluster deployment method, server and storage device |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7197577B2 (en) * | 2003-12-12 | 2007-03-27 | International Business Machines Corporation | Autonomic input/output scheduler selector |
| CN102541460B (en) * | 2010-12-20 | 2014-10-08 | 中国移动通信集团公司 | Multiple disc management method and equipment |
| CN102209041B (en) * | 2011-07-13 | 2014-05-07 | 上海红神信息技术有限公司 | Scheduling method, device and system |
| CN104407915A (en) * | 2014-12-03 | 2015-03-11 | 浪潮集团有限公司 | Node feature mechanism for distributed virtual machine monitor |
| US20170235512A1 (en) * | 2014-12-11 | 2017-08-17 | Hitachi, Ltd. | Configuration of storage using profiles and templates |
| CN109783028B (en) * | 2019-01-16 | 2022-07-15 | Oppo广东移动通信有限公司 | Optimization method and device for I/O scheduling, storage medium and intelligent terminal |
-
2020
- 2020-02-29 CN CN202010132619.3A patent/CN111338580B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1545030A (en) * | 2003-11-14 | 2004-11-10 | 清华大学 | Data distribution dynamic mapping method based on magnetic disc characteristic |
| CN106446303A (en) * | 2016-12-16 | 2017-02-22 | 郑州云海信息技术有限公司 | System and method for deploying large-scale cluster file system |
| CN108733326A (en) * | 2018-05-25 | 2018-11-02 | 郑州云海信息技术有限公司 | A kind of disk processing method and processing device |
| CN110784546A (en) * | 2019-10-31 | 2020-02-11 | 浙江大华技术股份有限公司 | Distributed cluster deployment method, server and storage device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111338580A (en) | 2020-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113742031B (en) | Node state information acquisition method and device, electronic equipment and readable storage medium | |
| CN111897638B (en) | Distributed task scheduling method and system | |
| CN111338580B (en) | Method and equipment for optimizing disk performance | |
| CN102521044A (en) | Distributed task scheduling method and system based on messaging middleware | |
| CN110457176B (en) | Monitoring method and device for distributed system, storage medium and electronic equipment | |
| WO2016165242A1 (en) | Method of adjusting number of nodes in system and device utilizing same | |
| CN112099935B (en) | Task processing method and device | |
| CN111200526B (en) | Monitoring system and method of network equipment | |
| CN114996006A (en) | Server arrangement configuration execution method, device, equipment and medium | |
| CN111400041A (en) | Server configuration file management method and device and computer readable storage medium | |
| WO2024082853A1 (en) | Method and system for application performance optimization in high-performance computing | |
| JP7348293B2 (en) | Data processing methods and equipment | |
| CN114666335A (en) | DDS-based distributed system load balancing device | |
| CN113658351A (en) | Product production method and device, electronic equipment and storage medium | |
| Ali et al. | Probabilistic normed load monitoring in large scale distributed systems using mobile agents | |
| CN116737560B (en) | Intelligent training system based on intelligent guide control | |
| EP4440069A1 (en) | Network inspection method, network device and network management device | |
| US9575865B2 (en) | Information processing system and monitoring method | |
| CN116340111A (en) | Linux socket monitoring event monitoring method and device | |
| CN116483543A (en) | Task processing method, device, equipment and storage medium | |
| CN116319758A (en) | Data migration method, device, electronic equipment and readable storage medium | |
| CN114567536B (en) | Abnormal data processing method, device, electronic equipment and storage medium | |
| CN112422349B (en) | Network management system, method, equipment and medium for NFV | |
| WO2011131065A1 (en) | Network management system and data collection method | |
| CN113364625A (en) | Data transmission method, intermediate transmission equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |