CN111953567A - Method, system, equipment and medium for configuring multi-cluster management software parameters - Google Patents

Method, system, equipment and medium for configuring multi-cluster management software parameters Download PDF

Info

Publication number
CN111953567A
CN111953567A CN202010818534.0A CN202010818534A CN111953567A CN 111953567 A CN111953567 A CN 111953567A CN 202010818534 A CN202010818534 A CN 202010818534A CN 111953567 A CN111953567 A CN 111953567A
Authority
CN
China
Prior art keywords
request
data
management software
time
middleware
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.)
Granted
Application number
CN202010818534.0A
Other languages
Chinese (zh)
Other versions
CN111953567B (en
Inventor
王凤丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Inspur Intelligent Technology Co Ltd
Original Assignee
Suzhou Inspur Intelligent Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Suzhou Inspur Intelligent Technology Co Ltd filed Critical Suzhou Inspur Intelligent Technology Co Ltd
Priority to CN202010818534.0A priority Critical patent/CN111953567B/en
Publication of CN111953567A publication Critical patent/CN111953567A/en
Application granted granted Critical
Publication of CN111953567B publication Critical patent/CN111953567B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/10Active monitoring, e.g. heartbeat, ping or trace-route
    • H04L43/103Active monitoring, e.g. heartbeat, ping or trace-route with adaptive polling, i.e. dynamically adapting the polling rate

Landscapes

  • Health & Medical Sciences (AREA)
  • Cardiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Stored Programmes (AREA)

Abstract

The invention discloses a method, a system, equipment and a storage medium for configuring multi-cluster management software parameters, wherein the method comprises the following steps: collecting indexes corresponding to the request to middleware of the multi-cluster management software in response to the received client request; acquiring index data from a time sequence database based on the middleware, and storing the data into a data table corresponding to the time sequence database; obtaining the ratio of various requests in a period according to the data table, and obtaining a request resource ratio table based on the ratio; and dynamically adjusting the use priority of the request resources according to the request resource ratio table, and adjusting the interval duration of the timing acquisition according to the use priority. According to the invention, the resource utilization priority of the system is dynamically adjusted according to the analysis request resource occupation ratio and the occupation ratio, so that the response efficiency of the system is improved.

Description

Method, system, equipment and medium for configuring multi-cluster management software parameters
Technical Field
The present invention relates to the field of cluster management, and more particularly, to a method, a system, a computer device, and a readable medium for configuring multiple cluster management software parameters.
Background
In the cloud computing era, mass data is usually stored by using a cluster system, in order to meet different requirements, a customer generally configures various cluster systems, each cluster system generally provides corresponding management software, and when a plurality of cluster systems are introduced, a plurality of cluster management software are logged in to check the running conditions of the cluster systems, which is inconvenient for the management of the cluster systems. Usually, a multi-cluster management software is introduced into a customer site to perform multi-cluster management.
The architecture flow of the multi-cluster management software generally comprises that a user logs in a system, issues a query request, and after a background receives the request, a related data table is searched from a middleware database in a traversing way, and data is obtained and returned to the user. The middleware can be understood as a data acquisition module, the data acquisition module creates a plurality of data acquisition timers according to the functional scenes, the data acquisition timers acquire data from the cluster system at regular time and store the data in a time sequence database of the multi-cluster management software server, the time sequence database is stored in a circulating covering manner, when a polling point is reached, the data to be covered are pushed to the middleware database, the polling time is positively correlated with the cluster scale of management and the cluster number. The architecture can directly fetch the storage data from the middleware database, can very quickly respond to a client request, improves the satisfaction degree of a user, regularly collects the background data from the storage, pushes the background data to the middleware database, and even if delay exists, influences can be ignored. However, the framework is used for timing acquisition intervals, data polling intervals are determined by a programmer after a large number of tests, and the programmer cannot design a scene to consider all scenes. The data polling interval is timed and does not necessarily satisfy the actual usage scenario.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method, a system, a computer device, and a computer-readable storage medium for configuring multiple cluster management software parameters, in which the occupation ratios of various requests in a period are obtained, and the occupation ratios of the request resources are analyzed, so that the usage priority of the system resources is dynamically adjusted according to the occupation ratios, thereby being capable of adapting to different scenarios and improving the response efficiency of the system.
Based on the above object, an aspect of the embodiments of the present invention provides a method for configuring multiple cluster management software parameters, including the following steps: in response to receiving a client request, collecting indexes corresponding to the request from a middleware of multi-cluster management software; acquiring data of the index from a time sequence database based on the middleware, and saving the data to a data table corresponding to the time sequence database; obtaining the ratio of various requests in a period according to the data table, and obtaining a request resource ratio table based on the ratio; and dynamically adjusting the use priority of the request resources according to the request resource proportion table, and adjusting the interval duration of the timing acquisition according to the use priority.
In some embodiments, further comprising: querying a middleware database for a predetermined time at which to obtain data for the indicator from the time series database.
In some embodiments, further comprising: and acquiring the time when the request is received, and calculating the difference value between the time and the preset time to obtain the time delay difference.
In some embodiments, the dynamically adjusting the priority of use of the requested resource according to the requested resource proportion table includes: and in response to the increase of the request resource occupation ratio, improving the use priority of the request resource.
In some embodiments, adjusting the interval duration of timing acquisition according to the usage priority comprises: shortening an interval duration of the timing acquisition in response to the usage priority increasing.
In some embodiments, adjusting the interval duration of timing acquisition according to the usage priority comprises: and adjusting the interval duration to be equal to the time delay difference.
In some embodiments, the obtaining data for the metric from a time series database based on the middleware comprises: and acquiring data corresponding to the indexes from the monitoring cluster at regular time, and storing the data to the time sequence database.
In another aspect of the embodiments of the present invention, a system for configuring parameters of multi-cluster management software is further provided, including: the first acquisition module is configured to respond to the received client request and acquire indexes corresponding to the request from the middleware of the multi-cluster management software; the second acquisition module is configured to acquire data of the index from a time sequence database based on the middleware and store the data into a data table corresponding to the time sequence database; the proportion module is configured for obtaining proportions of various requests in a period according to the data table and obtaining a request resource proportion table based on the proportions; and the adjusting module is configured to dynamically adjust the use priority of the request resources according to the request resource proportion table and adjust the interval duration of the timing acquisition according to the use priority.
In another aspect of the embodiments of the present invention, there is also provided a computer device, including: at least one processor; and a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of the method as above.
In a further aspect of the embodiments of the present invention, a computer-readable storage medium is also provided, in which a computer program for implementing the above method steps is stored when the computer program is executed by a processor.
The invention has the following beneficial technical effects: by obtaining the occupation ratios of various requests in a period and analyzing the occupation ratio of the request resources, the use priority of the system resources is dynamically adjusted according to the occupation ratios, different scenes can be adapted, and the response efficiency of the system is improved.
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 diagram of an embodiment of a method for configuring multiple cluster management software parameters according to the present invention;
FIG. 2 is a schematic diagram of user interaction with multi-cluster management software provided by the present invention;
FIG. 3 is a schematic diagram of a middleware of the multi-cluster management software provided by the present invention collecting and storing indexes of monitored clusters;
FIG. 4 is a schematic diagram of interaction between a monitoring module and multi-cluster management software provided by the present invention;
fig. 5 is a schematic hardware structure diagram of an embodiment of a computer device configured with multiple cluster management software parameters according to 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.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
Based on the above object, a first aspect of the embodiments of the present invention provides an embodiment of a method for configuring multiple cluster management software parameters. Fig. 1 is a schematic diagram illustrating an embodiment of a method for configuring multiple cluster management software parameters according to the present invention. As shown in fig. 1, the embodiment of the present invention includes the following steps:
s1, responding to the received client request, acquiring indexes corresponding to the request from the middleware of the multi-cluster management software;
s2, acquiring index data from the time sequence database based on the middleware, and storing the data in a data table corresponding to the time sequence database;
s3, obtaining the ratio of various requests in a period according to the data table, and obtaining a request resource ratio table based on the ratio; and
and S4, dynamically adjusting the use priority of the request resource according to the request resource proportion table, and adjusting the interval duration of the timing acquisition according to the use priority.
The embodiment of the invention monitors and collects system performance parameters of CPU, memory, cache occupation ratio, disk IOPS (read-write times per second), read-write time delay and the like of multi-cluster management software, monitors the issuing time of each request, acquires the single-cluster time corresponding to the request from a middleware database, and calculates the delay between the presentation data of a multi-cluster software interface and the actual presentation of a single cluster. When the index reaches an acquisition period, the monitoring module analyzes the data, acquires the ratio of each request proportion of the user after analysis, displays the delay difference between the time of each request and the actual value of the cluster, and the ratio of each request to the system performance resource, stores the data into a request resource ratio table, shortens the timing acquisition time for the request with high ratio, improves the utilization priority of the performance resource, prolongs the timing acquisition time for the request with low ratio, and reduces the utilization priority of the performance resource.
And collecting indexes corresponding to the request to the middleware of the multi-cluster management software in response to the received client request. And acquiring data of the indexes from the time series database based on the middleware, and storing the data into a data table corresponding to the time series database. And after monitoring the user request, storing the URL and the request time of the user request into a corresponding table of the database.
Fig. 2 is a schematic diagram illustrating user interaction with multi-cluster management software provided by the present invention. As shown in fig. 2, the user 1 sends a query request a1 to the multi-cluster management software 2, and then returns corresponding data b1 queried from the middleware of the multi-cluster management software based on the query request from the multi-cluster management software 2.
In some embodiments, the obtaining data for the metric from a time series database based on the middleware comprises: and acquiring data corresponding to the indexes from the monitoring cluster at regular time, and storing the data to the time sequence database.
Fig. 3 is a schematic diagram illustrating that the middleware of the multi-cluster management software provided by the present invention collects and stores the indexes of the monitored clusters. As shown in fig. 3, the middleware 3 of the multi-cluster management software sends a request a21 for collecting index data to the monitored cluster 4, the monitored cluster 4 returns corresponding index data b21, the middleware 3 of the multi-cluster management software sends a22 for querying data of the last period of the index to the time series database 5, the time series database 5 returns data b22 of the last period of the index, and the middleware 3 of the multi-cluster management software sends the index data a23 collected from the monitored cluster 4 to the time series database 5 for saving.
Acquiring and recording the time when the middleware of the multi-cluster management software acquires indexes, acquiring the index data of the last period from a time sequence database, storing a null value into the middleware database if the last period has no index data, then sending a Rest request or an SSH connection request for acquiring the indexes by the middleware, acquiring the corresponding indexes from the monitoring cluster by the timing request corresponding to the indexes, and storing the corresponding indexes into the time sequence database.
And obtaining the ratio of various requests in one period according to the data table, and obtaining a request resource ratio table based on the ratio. The performance parameters of the multi-cluster management software are monitored and periodically collected, and the user request occupation ratio is analyzed in a collection period, for example, the number of the requests A is 100, the number of the requests B is 50, the number of the requests C is 30, the number of the requests D is 20, and the occupation ratio of the requests A is 50%. And then a request resource ratio table is obtained according to the use condition of each request to the resource.
And dynamically adjusting the use priority of the request resources according to the request resource ratio table, and adjusting the interval duration of the timing acquisition according to the use priority. In some embodiments, the dynamically adjusting the priority of use of the requested resource according to the requested resource proportion table includes: and in response to the increase of the request resource occupation ratio, improving the use priority of the request resource. The higher the request resource proportion, the higher the priority, and therefore, the use priority of the request resource can be increased when the request resource proportion is increased, and the use priority of the request resource can be decreased when the request resource proportion is decreased.
In some embodiments, adjusting the interval duration of timing acquisition according to the usage priority comprises: shortening an interval duration of the timing acquisition in response to the usage priority increasing. The interval of acquisition is shorter as the use priority is higher, and therefore, the interval duration of timing acquisition can be shortened as the use priority is higher, and the interval duration of timing acquisition can be increased as the priority is lower.
In some embodiments, further comprising: querying a middleware database for a predetermined time at which to obtain data for the indicator from the time series database. In some embodiments, further comprising: and acquiring the time when the request is received, and calculating the difference value between the time and the preset time to obtain the time delay difference.
In some embodiments, adjusting the interval duration of timing acquisition according to the usage priority comprises: and adjusting the interval duration to be equal to the time delay difference.
Fig. 4 is a schematic diagram illustrating interaction between a monitoring module and multi-cluster management software provided by the present invention. As shown in fig. 4, the monitoring module 6 constantly monitors the multi-cluster management software 2, and periodically sends a request a31 for acquiring performance parameters to the multi-cluster management software 2, the multi-cluster management software 2 returns corresponding data b31, when detecting a user input request, the monitoring module 6 sends a request a32 for acquiring an acquisition time to the multi-cluster management software 2, the multi-cluster management software 2 returns corresponding time b32, the monitoring module 6 sends a request a33 for acquiring a predetermined time for acquiring the requested data from the middleware database to the multi-cluster management software 2, the multi-cluster management software 2 returns corresponding time b33, the monitoring module 6 obtains a delay difference based on two times and analyzes a user request duty ratio in one period to obtain a requested resource duty ratio a34, and sends a dynamically adjusted command a35 to the multi-cluster management software 2 according to the resource request duty ratio.
It should be particularly noted that, the steps in the embodiments of the method for configuring multiple cluster management software parameters described above may be mutually intersected, replaced, added, or deleted, and therefore, these methods for configuring multiple cluster management software parameters, which are reasonably transformed by permutation and combination, should also belong to the scope of the present invention, and should not limit the scope of the present invention to the embodiments.
In view of the above, a second aspect of the embodiments of the present invention provides a system for configuring multiple cluster management software parameters, including: the first acquisition module is configured to respond to the received client request and acquire indexes corresponding to the request from the middleware of the multi-cluster management software; the second acquisition module is configured to acquire data of the index from a time sequence database based on the middleware and store the data into a data table corresponding to the time sequence database; the proportion module is configured for obtaining proportions of various requests in a period according to the data table and obtaining a request resource proportion table based on the proportions; and the adjusting module is configured to dynamically adjust the use priority of the request resources according to the request resource proportion table and adjust the interval duration of the timing acquisition according to the use priority.
In some embodiments, further comprising: and the query module is used for querying the middleware database to acquire the preset time for acquiring the data of the index from the time sequence database.
In some embodiments, further comprising: and the time delay module is configured to acquire the time when the request is received and calculate the difference value between the time and the preset time to obtain the time delay difference.
In some embodiments, the adjustment module is configured to: and in response to the increase of the request resource occupation ratio, improving the use priority of the request resource.
In some embodiments, the adjustment module is configured to: shortening an interval duration of the timing acquisition in response to the usage priority increasing.
In some embodiments, the adjustment module is configured to: and adjusting the interval duration to be equal to the time delay difference.
In some embodiments, the second acquisition module is configured to: and acquiring data corresponding to the indexes from the monitoring cluster at regular time, and storing the data to the time sequence database.
In view of the above object, a third aspect of the embodiments of the present invention provides a computer device, including: at least one processor; and a memory storing computer instructions executable on the processor, the instructions being executable by the processor to perform the steps of: s1, responding to the received client request, acquiring indexes corresponding to the request from the middleware of the multi-cluster management software; s2, acquiring index data from the time sequence database based on the middleware, and storing the data in a data table corresponding to the time sequence database; s3, obtaining the ratio of various requests in a period according to the data table, and obtaining a request resource ratio table based on the ratio; and S4, dynamically adjusting the use priority of the request resource according to the request resource ratio table, and adjusting the interval duration of the timing acquisition according to the use priority.
In some embodiments, further comprising: querying a middleware database for a predetermined time at which to obtain data for the indicator from the time series database.
In some embodiments, further comprising: and acquiring the time when the request is received, and calculating the difference value between the time and the preset time to obtain the time delay difference.
In some embodiments, the dynamically adjusting the priority of use of the requested resource according to the requested resource proportion table includes: and in response to the increase of the request resource occupation ratio, improving the use priority of the request resource.
In some embodiments, adjusting the interval duration of timing acquisition according to the usage priority comprises: shortening an interval duration of the timing acquisition in response to the usage priority increasing.
In some embodiments, adjusting the interval duration of timing acquisition according to the usage priority comprises: and adjusting the interval duration to be equal to the time delay difference.
In some embodiments, the obtaining data for the metric from a time series database based on the middleware comprises: and acquiring data corresponding to the indexes from the monitoring cluster at regular time, and storing the data to the time sequence database.
Fig. 5 is a schematic hardware structure diagram of an embodiment of the computer device for configuring multiple cluster management software parameters according to the present invention.
Taking the apparatus shown in fig. 5 as an example, the apparatus includes a processor 301 and a memory 302, and may further include: an input device 303 and an output device 304.
The processor 301, the memory 302, the input device 303 and the output device 304 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
Memory 302, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the method for configuring multi-cluster management software parameters in the embodiments of the present application. The processor 301 executes various functional applications of the server and data processing by running nonvolatile software programs, instructions and modules stored in the memory 302, that is, implements the method for configuring multiple cluster management software parameters of the above-described method embodiment.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the method of configuring the multi-cluster management software parameters, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to a local module via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may receive information such as a user name and a password that are input. The output means 304 may comprise a display device such as a display screen.
Program instructions/modules corresponding to one or more methods of configuring multiple cluster management software parameters are stored in memory 302 and, when executed by processor 301, perform the method of configuring multiple cluster management software parameters in any of the method embodiments described above.
Any embodiment of the computer device executing the method for configuring multiple cluster management software parameters may achieve the same or similar effects as any corresponding method embodiment described above.
The invention also provides a computer readable storage medium storing a computer program which, when executed by a processor, performs the method as above.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, of embodiments of the invention is limited to these examples; within the idea of an embodiment of the invention, also technical features in the above embodiment or in different embodiments may be combined and there are many other variations of the different aspects of the embodiments of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present invention are intended to be included within the scope of the embodiments of the present invention.

Claims (10)

1. A method for configuring parameters of multi-cluster management software is characterized by comprising the following steps:
in response to receiving a client request, collecting indexes corresponding to the request from a middleware of multi-cluster management software;
acquiring data of the index from a time sequence database based on the middleware, and saving the data to a data table corresponding to the time sequence database;
obtaining the ratio of various requests in a period according to the data table, and obtaining a request resource ratio table based on the ratio; and
and dynamically adjusting the use priority of the request resources according to the request resource ratio table, and adjusting the interval duration of the timing acquisition according to the use priority.
2. The method of claim 1, further comprising:
querying a middleware database for a predetermined time at which to obtain data for the indicator from the time series database.
3. The method of claim 2, further comprising:
and acquiring the time when the request is received, and calculating the difference value between the time and the preset time to obtain the time delay difference.
4. The method of claim 3, wherein dynamically adjusting the priority of use of the requested resource according to the requested resource proportion table comprises:
and in response to the increase of the request resource occupation ratio, improving the use priority of the request resource.
5. The method of claim 4, wherein adjusting the interval duration of timing acquisition according to the usage priority comprises:
shortening an interval duration of the timing acquisition in response to the usage priority increasing.
6. The method of claim 5, wherein adjusting the interval duration of timing acquisition according to the usage priority comprises:
and adjusting the interval duration to be equal to the time delay difference.
7. The method of claim 1, wherein the obtaining data for the metric from a time series database based on the middleware comprises:
and acquiring data corresponding to the indexes from the monitoring cluster at regular time, and storing the data to the time sequence database.
8. A system for configuring parameters of multi-cluster management software, comprising:
the first acquisition module is configured to respond to the received client request and acquire indexes corresponding to the request from the middleware of the multi-cluster management software;
the second acquisition module is configured to acquire data of the index from a time sequence database based on the middleware and store the data into a data table corresponding to the time sequence database;
the proportion module is configured for obtaining proportions of various requests in a period according to the data table and obtaining a request resource proportion table based on the proportions; and
and the adjusting module is configured to dynamically adjust the use priority of the request resources according to the request resource proportion table and adjust the interval duration of the timing acquisition according to the use priority.
9. A computer device, comprising:
at least one processor; and
a memory storing computer instructions executable on the processor, the instructions when executed by the processor implementing the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202010818534.0A 2020-08-14 2020-08-14 Method, system, equipment and medium for configuring multi-cluster management software parameters Active CN111953567B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010818534.0A CN111953567B (en) 2020-08-14 2020-08-14 Method, system, equipment and medium for configuring multi-cluster management software parameters

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010818534.0A CN111953567B (en) 2020-08-14 2020-08-14 Method, system, equipment and medium for configuring multi-cluster management software parameters

Publications (2)

Publication Number Publication Date
CN111953567A true CN111953567A (en) 2020-11-17
CN111953567B CN111953567B (en) 2022-04-22

Family

ID=73342326

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010818534.0A Active CN111953567B (en) 2020-08-14 2020-08-14 Method, system, equipment and medium for configuring multi-cluster management software parameters

Country Status (1)

Country Link
CN (1) CN111953567B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112947867A (en) * 2021-04-06 2021-06-11 苏州菲瑞斯信息技术有限公司 Full flash memory array high-performance storage system and electronic equipment
CN113901262A (en) * 2021-09-24 2022-01-07 北京达佳互联信息技术有限公司 Method and device for acquiring data to be processed, server and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170213257A1 (en) * 2016-01-27 2017-07-27 Turn Inc. Resource estimation for queries in large-scale distributed database system
CN110221920A (en) * 2019-06-04 2019-09-10 合肥讯飞数码科技有限公司 Dispositions method, device, storage medium and system
CN110830391A (en) * 2018-08-10 2020-02-21 阿里巴巴集团控股有限公司 Resource allocation method and device and cluster system
CN111124689A (en) * 2019-12-31 2020-05-08 中国电子科技集团公司信息科学研究院 Dynamic allocation method for container resources in cluster
CN111367632A (en) * 2020-02-14 2020-07-03 重庆邮电大学 Container cloud scheduling method based on periodic characteristics
US20200244555A1 (en) * 2019-01-24 2020-07-30 Metaswitch Networks Ltd. Serving a network resource usage file

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170213257A1 (en) * 2016-01-27 2017-07-27 Turn Inc. Resource estimation for queries in large-scale distributed database system
CN110830391A (en) * 2018-08-10 2020-02-21 阿里巴巴集团控股有限公司 Resource allocation method and device and cluster system
US20200244555A1 (en) * 2019-01-24 2020-07-30 Metaswitch Networks Ltd. Serving a network resource usage file
CN110221920A (en) * 2019-06-04 2019-09-10 合肥讯飞数码科技有限公司 Dispositions method, device, storage medium and system
CN111124689A (en) * 2019-12-31 2020-05-08 中国电子科技集团公司信息科学研究院 Dynamic allocation method for container resources in cluster
CN111367632A (en) * 2020-02-14 2020-07-03 重庆邮电大学 Container cloud scheduling method based on periodic characteristics

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112947867A (en) * 2021-04-06 2021-06-11 苏州菲瑞斯信息技术有限公司 Full flash memory array high-performance storage system and electronic equipment
CN113901262A (en) * 2021-09-24 2022-01-07 北京达佳互联信息技术有限公司 Method and device for acquiring data to be processed, server and storage medium

Also Published As

Publication number Publication date
CN111953567B (en) 2022-04-22

Similar Documents

Publication Publication Date Title
CN110502494B (en) Log processing method and device, computer equipment and storage medium
CN108683720B (en) Container cluster service configuration method and device
CN106452818B (en) Resource scheduling method and system
US9870269B1 (en) Job allocation in a clustered environment
CN111953567B (en) Method, system, equipment and medium for configuring multi-cluster management software parameters
JP2021511588A (en) Data query methods, devices and devices
CN111562889B (en) Data processing method, device, system and storage medium
MXPA04003956A (en) Aggregate system resource analysis including correlation matrix and metric-based analysis.
CN108628890B (en) Data export method and system
US20150280981A1 (en) Apparatus and system for configuration management
KR102141083B1 (en) Optimization methods, systems, electronic devices and storage media of database systems
CN108228322B (en) Distributed link tracking and analyzing method, server and global scheduler
CN111966289A (en) Partition optimization method and system based on Kafka cluster
CN112231296B (en) Distributed log processing method, device, system, equipment and medium
CA2988805A1 (en) Datastore for aggregated measurements for metrics
CN113760640A (en) Monitoring log processing method, device, equipment and storage medium
CN108228432A (en) A kind of distributed link tracking, analysis method and server, global scheduler
CN113672500A (en) Deep learning algorithm testing method and device, electronic device and storage medium
CN213876703U (en) Resource pool management system
CN106156258B (en) Method, device and system for counting data in distributed storage system
CN113079062A (en) Resource adjusting method and device, computer equipment and storage medium
CN116248699B (en) Data reading method, device, equipment and storage medium in multi-copy scene
CN110928750B (en) Data processing method, device and equipment
CN112817687A (en) Data synchronization method and device
CN106686082B (en) Storage resource adjusting method and management node

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