CN116614379B - Bandwidth adjustment method and device for migration service and related equipment - Google Patents

Bandwidth adjustment method and device for migration service and related equipment Download PDF

Info

Publication number
CN116614379B
CN116614379B CN202310877055.XA CN202310877055A CN116614379B CN 116614379 B CN116614379 B CN 116614379B CN 202310877055 A CN202310877055 A CN 202310877055A CN 116614379 B CN116614379 B CN 116614379B
Authority
CN
China
Prior art keywords
bandwidth
service
file
migrated
business service
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
Application number
CN202310877055.XA
Other languages
Chinese (zh)
Other versions
CN116614379A (en
Inventor
掌静
韩志康
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.)
China Mobile Communications Group Co Ltd
China Mobile Suzhou Software Technology Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile Suzhou Software 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 China Mobile Communications Group Co Ltd, China Mobile Suzhou Software Technology Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN202310877055.XA priority Critical patent/CN116614379B/en
Publication of CN116614379A publication Critical patent/CN116614379A/en
Application granted granted Critical
Publication of CN116614379B publication Critical patent/CN116614379B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0896Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/11File system administration, e.g. details of archiving or snapshots
    • G06F16/119Details of migration of file systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0813Configuration setting characterised by the conditions triggering a change of settings
    • H04L41/0816Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0823Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • H04L41/083Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability for increasing network speed
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/147Network analysis or design for predicting network behaviour
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • H04L43/0894Packet rate
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/16Threshold monitoring

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The disclosure provides a bandwidth adjustment method, device and related equipment for migration service, and relates to the technical field of cloud computing, wherein the method comprises the following steps: acquiring a plurality of files to be migrated and file types of each file to be migrated, wherein the file sizes of the files to be migrated in the first type are smaller than or equal to a first threshold value, and the file sizes of the files to be migrated in the second type are larger than or equal to a second threshold value; and determining a predicted bandwidth according to the first quantity duty ratio and/or the second quantity duty ratio, wherein the first quantity duty ratio is the quantity duty ratio of the files to be migrated in the first category, the second quantity duty ratio is the quantity duty ratio of the files to be migrated in the second category, the predicted bandwidth is in negative correlation with the first quantity duty ratio, the predicted bandwidth is in positive correlation with the second quantity duty ratio, and when the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a third threshold value, the bandwidth configuration of the migration service is updated according to the predicted bandwidth. The method and the device can improve the migration efficiency of the host migration process.

Description

Bandwidth adjustment method and device for migration service and related equipment
Technical Field
The disclosure relates to the technical field of cloud computing, and in particular relates to a bandwidth adjustment method and device for migration service and related equipment.
Background
The host migration is a technical scheme for migrating applications and data on a source server to a target server.
At present, the bandwidth configuration of the host migration process is seriously dependent on manual work, when the bandwidth configured by manual work is too large, the load pressure of service of non-migration service in the server is too large, so that the downtime risk of the server is increased, and for reducing the downtime risk of the server, related personnel can configure smaller bandwidth for the migration service, so that the migration efficiency of the host migration process is low.
Disclosure of Invention
The disclosure aims to provide a bandwidth adjustment method, device and related equipment for migration service, which are used for solving the technical problem of low migration efficiency in the host migration process.
In a first aspect, an embodiment of the present disclosure provides a bandwidth adjustment method for a migration service, including:
acquiring file reading information of migration service, wherein the file reading information comprises a plurality of files to be migrated and file sizes of each file to be migrated;
classifying the files to be migrated according to the file size of each file to be migrated to obtain file types of each file to be migrated, wherein the file types comprise a first type and a second type, the file size of the file to be migrated in the first type is smaller than or equal to a preset first threshold value, the file size of the file to be migrated in the second type is larger than or equal to a preset second threshold value, and the first threshold value is smaller than the second threshold value;
Determining a predicted bandwidth of the migration service according to a first quantity duty ratio and/or a second quantity duty ratio, wherein the first quantity duty ratio is the duty ratio of a first type of files to be migrated in the plurality of files to be migrated, the second quantity duty ratio is the duty ratio of a second type of files to be migrated in the plurality of files to be migrated, the predicted bandwidth is in negative correlation with the first quantity duty ratio, and the predicted bandwidth is in positive correlation with the second quantity duty ratio;
and updating the bandwidth configuration of the migration service according to the predicted bandwidth under the condition that the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a preset third threshold value.
In one embodiment, the method further comprises:
acquiring load occupation information of a first business service in a source server and load occupation information of a second business service in a target server, wherein the first business service is a service which is in an operation state except for the migration service in the source server, the second business service is a service which is in an operation state except for the migration service in the target server, and the load occupation information comprises a first parameter corresponding to a CPU occupation condition, a second parameter corresponding to a memory occupation condition and a third parameter corresponding to a bandwidth occupation condition;
Determining a load occupation weight according to the load occupation information of the first business service in the source server and the load occupation information of the second business service in the target server;
the determining the predicted bandwidth of the migration service according to the first number of duty cycles and/or the second number of duty cycles comprises:
determining file structure weights according to the first number of the occupied ratios and/or the second number of the occupied ratios;
and determining the predicted bandwidth according to the file structure weight and the load occupation weight.
In one embodiment, the first parameter is a difference between a historical CPU utilization of a target traffic service and a current CPU utilization of the target traffic service, the second parameter is a difference between a historical memory utilization of the target traffic service and a current memory utilization of the target traffic service, and the third parameter is a ratio of a bandwidth difference of the target traffic service to a historical bandwidth of the target traffic service, wherein the bandwidth difference is a difference between the historical bandwidth of the target traffic service and the current bandwidth of the target traffic service;
wherein the target business service is the first business service or the second business service.
In one embodiment, the method further comprises:
and under the condition that the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a preset third threshold value, updating the historical CPU utilization rate of the target business service according to the current CPU utilization rate of the target business service, updating the historical memory utilization rate of the target business service according to the current memory utilization rate of the target business service, and updating the historical bandwidth of the target business service according to the current bandwidth of the target business service.
In one embodiment, the determining the file structure weight according to the first number of duty cycles and/or the second number of duty cycles includes:
determining a fourth parameter according to the first quantity duty ratio and the first size duty ratio, wherein the first size duty ratio is the duty ratio of the file sizes of the files to be migrated of the first category in the total file sizes of the files to be migrated;
determining a fifth parameter according to the second quantity duty ratio and a second size duty ratio, wherein the second size duty ratio is the duty ratio of the file sizes of the files to be migrated in a second category in the total file sizes of the files to be migrated;
And determining the average value of the fourth parameter and the fifth parameter as the file structure weight.
In one embodiment, the determining the fourth parameter according to the first number duty cycle and the first size duty cycle includes:
determining a fourth parameter according to the first number duty ratio and the first size duty ratio when the first number duty ratio is larger than a preset fourth threshold value;
the determining a fifth parameter according to the second size ratio includes:
determining a fifth parameter according to the second size ratio if the second number ratio is greater than the fourth threshold;
wherein the value of the fourth threshold is greater than 0.5 and less than or equal to 1.
In one embodiment, the predicted bandwidth is less than or equal to a maximum bandwidth of the source server and the predicted bandwidth is less than or equal to a maximum bandwidth of the target server.
In a second aspect, an embodiment of the present disclosure further provides a bandwidth adjustment apparatus for a migration service, including:
the information acquisition module is used for acquiring file reading information of the migration service, wherein the file reading information comprises a plurality of files to be migrated and file sizes of the files to be migrated;
The file classification module is used for classifying the files to be migrated according to the file size of each file to be migrated to obtain a file type of each file to be migrated, wherein the file type comprises a first type and a second type, the file size of the file to be migrated in the first type is smaller than or equal to a preset first threshold value, the file size of the file to be migrated in the second type is larger than or equal to a preset second threshold value, and the first threshold value is smaller than the second threshold value;
a determining module, configured to determine a predicted bandwidth of the migration service according to a first number of duty cycles and/or a second number of duty cycles, where the first number of duty cycles is a duty cycle of a first type of files to be migrated in the plurality of files to be migrated, the second number of duty cycles is a duty cycle of a second type of files to be migrated in the plurality of files to be migrated, the predicted bandwidth is inversely related to the first number of duty cycles, and the predicted bandwidth is positively related to the second number of duty cycles;
and the updating module is used for updating the bandwidth configuration of the migration service according to the predicted bandwidth under the condition that the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a preset third threshold value.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, including a processor, a memory, and a computer program stored on the memory and executable on the processor, where the computer program when executed by the processor implements the steps of the bandwidth adjustment method of the migration service described above.
In a fourth aspect, the embodiments of the present disclosure further provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the bandwidth adjustment method of a migration service described above.
In the embodiment of the disclosure, based on file sizes of a plurality of files to be migrated read by a migration service, the files to be migrated are classified, and the number proportion of the files to be migrated of a first category indicating a fragmented file and/or the number proportion of the files to be migrated of a second category indicating a large-specification file are correspondingly calculated, so that a predicted bandwidth matching the file distribution condition of the plurality of files to be migrated read currently is obtained, and when the predicted bandwidth is too different from an actual bandwidth, bandwidth configuration of the migration service is updated based on the predicted bandwidth, so that execution efficiency of the migration service, namely migration efficiency of a host migration process, can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are needed in the description of the embodiments of the present disclosure will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a flowchart of a bandwidth adjustment method of a migration service according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a bandwidth adjustment device for a migration service according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
The following description of the technical solutions in the embodiments of the present disclosure will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some embodiments of the present disclosure, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure are intended to be within the scope of this disclosure.
An embodiment of the present disclosure provides a bandwidth adjustment method for a migration service, as shown in fig. 1, where the method includes:
and 101, acquiring file reading information of the migration service.
The file reading information comprises a plurality of files to be migrated and file sizes of the files to be migrated.
Host migration is a technical implementation of migrating applications, data on an origin server (also called origin server), to a destination server (also called destination server).
As shown in fig. 2, the host migration mainly has the following three steps:
firstly, a user creates a migration task on a migration platform according to the characteristics of a double-end server, wherein the migration task comprises configuration items, and the configuration items comprise bandwidth used by migration service, transmission mode adopted by the migration service and the like;
secondly, the migration service on the source end server pulls a migration task from the migration platform and generates a corresponding migration instruction;
and finally, the migration service on the source server executes the migration instruction to complete the migration task.
As described above, the method disclosed in the present disclosure may be applied to a migration platform, where the migration platform is communicatively connected to both a source end server and a destination end server.
In the host migration process, the source server can facilitate all files included in the information to be migrated so as to read the file size and the file address of the files included in the information to be migrated, and the migration platform obtains the files to be migrated read by the source server from the source server according to a preset reading period, wherein the file reading information can be understood as all the files to be migrated read by the source server currently.
For example, the preset reading period may be 5 minutes, 10 minutes, or the like, and the specific duration of the preset reading period is not limited in the present disclosure.
For example, if the information to be migrated includes 100 files to be migrated, the source server reads 10 files to be migrated in the information to be migrated in a first preset reading period, and reads 15 files to be migrated in the information to be migrated in a second preset reading period, then the file reading information corresponding to the first preset reading period includes 10 files to be migrated, and the file reading information corresponding to the second preset reading period includes 25 files to be migrated.
Step 102, classifying the files to be migrated according to the file size of each file to be migrated to obtain file types of each file to be migrated.
The file types comprise a first type and a second type, wherein the file size of the file to be migrated in the first type is smaller than or equal to a preset first threshold, the file size of the file to be migrated in the second type is larger than or equal to a preset second threshold, and the first threshold is smaller than the second threshold.
The files to be migrated in the first category are used for indicating fragmented files, the file size of the fragmented files is very small, and the data transmission time in the migration process is approximately equal to zero, so that the total migration time of the plurality of fragmented files is approximately equal to the product of the number of the plurality of fragmented files and the I/O connection time.
The files to be migrated in the second category are used for indicating large-size files, the file size of the large-size files is extremely large, and the I/O connection time in the migration process is negligible, so that the migration time of the large-size files is approximately equal to the file size of the large-size files and the migration service bandwidth is approximately equal to the file size of the large-size files.
Illustratively, the first threshold may be 100kb and the second threshold may be 100Mb.
It should be noted that the file class further includes a third class, where files of the third class to be migrated are greater than and between the first threshold and the second threshold, and the files of the third class to be migrated are used to indicate a common file, where migration time of the common file=file size of the common file +.migration service bandwidth+i/O connection time.
Step 103, determining the predicted bandwidth of the migration service according to the first number of duty cycles and/or the second number of duty cycles.
The first number of the duty ratios are duty ratios of first types of files to be migrated in the plurality of files to be migrated, the second number of the duty ratios are duty ratios of second types of files to be migrated in the plurality of files to be migrated, the predicted bandwidth is inversely related to the first number of the duty ratios, and the predicted bandwidth is positively related to the second number of the duty ratios.
The larger the first quantity is, the more the quantity of fragmented files in the files to be migrated which are read currently in the source server is, the lower the dependence on bandwidth of the transmission rate of the fragmented files is, and corresponding network resources can be saved on the premise of not reducing the migration rate by the bandwidth of the pressure drop migration service, so that the bandwidth resource optimization processing in the source server is facilitated;
correspondingly, the larger the second number is, the more the number of large-specification files in the files to be migrated which are read currently in the source server is, and the transmission rate of the large-specification files is high in dependence on the bandwidth, so that the overall migration rate can be improved by improving the bandwidth of the migration service, and the migration time is shortened.
As above, based on the first number duty ratio and/or the second number duty ratio, the number duty ratio of the fragment file and the large-specification file in the file to be migrated which is read by the source server currently is correspondingly determined, and the prediction bandwidth adapted to the file distribution condition of the file to be migrated which is read currently is calculated according to the number duty ratio.
Step 104, updating the bandwidth configuration of the migration service according to the predicted bandwidth when the difference between the predicted bandwidth and the current bandwidth of the migration service is greater than a preset third threshold.
In the embodiment of the disclosure, based on file sizes of a plurality of files to be migrated read by a migration service, the files to be migrated are classified, and the number proportion of the files to be migrated of a first category indicating a fragmented file and/or the number proportion of the files to be migrated of a second category indicating a large-specification file are correspondingly calculated, so that a predicted bandwidth matching the file distribution condition of the plurality of files to be migrated read currently is obtained, and when the predicted bandwidth is too different from an actual bandwidth, bandwidth configuration of the migration service is updated based on the predicted bandwidth, so that execution efficiency of the migration service, namely migration efficiency of a host migration process, can be improved.
It should be noted that, in the case that the difference between the predicted bandwidth and the current bandwidth of the migration service is less than or equal to the preset third threshold, the bandwidth configuration of the migration service is not updated.
The setting of the third threshold is to avoid frequent bandwidth adjustment actions, reduce bandwidth adjustment frequency in the host migration process, and improve data transmission stability in the host migration process.
And updating the bandwidth configuration of the migration service according to the predicted bandwidth, wherein the bandwidth of the migration service is the predicted bandwidth.
In one embodiment, the method further comprises:
acquiring load occupation information of a first business service in a source server and load occupation information of a second business service in a target server, wherein the first business service is a service which is in an operation state except for the migration service in the source server, the second business service is a service which is in an operation state except for the migration service in the target server, and the load occupation information comprises a first parameter corresponding to a CPU occupation condition, a second parameter corresponding to a memory occupation condition and a third parameter corresponding to a bandwidth occupation condition;
determining a load occupation weight according to the load occupation information of the first business service in the source server and the load occupation information of the second business service in the target server;
the determining the predicted bandwidth of the migration service according to the first number of duty cycles and/or the second number of duty cycles comprises:
determining file structure weights according to the first number of the occupied ratios and/or the second number of the occupied ratios;
and determining the predicted bandwidth according to the file structure weight and the load occupation weight.
In this embodiment, in the process of determining the predicted bandwidth, in addition to considering the file distribution situation indicated by the file structure weight, the load occupation situation of the first service in the source server and the load occupation situation of the second service in the target server are considered, so that the determined predicted bandwidth can be more matched with the expected bandwidth adjustment purpose, where the expected bandwidth adjustment purpose is: on the premise of avoiding downtime of the source server and/or the target server, the migration efficiency of the host migration process is improved.
The load occupation information of the first business service in the source server is used for calculating the load pressure of the first business service in the source server, and the higher the load pressure of the first business service in the source server is, the higher the downtime risk of the source server is, and the load pressure of the first business service in the source server can be slowed down by reducing the bandwidth of the migration service in the source server, so that the downtime risk of the source server is reduced;
accordingly, the lower the load pressure of the first business service in the source server is, the more the available bandwidth resources can be allocated in the source server, and the migration rate of the migration service can be improved by improving the bandwidth of the migration service in the source server.
The load occupancy information of the second business service in the target server is used to calculate the load pressure of the second business service in the target server.
In one embodiment, the first parameter is a difference between a historical CPU utilization of a target traffic service and a current CPU utilization of the target traffic service, the second parameter is a difference between a historical memory utilization of the target traffic service and a current memory utilization of the target traffic service, and the third parameter is a ratio of a bandwidth difference of the target traffic service to a historical bandwidth of the target traffic service, wherein the bandwidth difference is a difference between the historical bandwidth of the target traffic service and the current bandwidth of the target traffic service;
Wherein the target business service is the first business service or the second business service.
The calculation flow of the load occupancy weight may be shown in the formula (1):
in the formula (1), W service For indicating load-occupying weights, W src For indicating the load pressure, W, of a first business service in an origin server des For indicating the load pressure of the second business service in the target server.
W src The calculation flow of (2) can be as shown in the formula (2):
in formula (2), CPU src_bus Service a historical CPU utilization in an origin server for a first business, CPU src_now RAM (random access memory) for serving current CPU utilization in source server for first service src_bus RAM for serving historical memory utilization in an origin server for a first service src_now Serving current memory utilization, net, in an origin server for a first service src_bus Historical bandwidth, net, for serving a first business src_now The current bandwidth for the first service is serviced.
W des The calculation flow of (2) can be as shown in the formula (3):
in formula (3), CPU des_bus Service the historical CPU utilization in the target server for the second business, CPU des_now RAM (random access memory) for serving current CPU utilization in target server for second service des_bus RAM (random Access memory) for serving historical memory utilization in a target server for a second business des_now Serving a current memory utilization, net, in a target server for a second service des_bus Historical bandwidth, net, for serving a second business des_now The current bandwidth for the second service is serviced.
In one embodiment, the method further comprises:
and under the condition that the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a preset third threshold value, updating the historical CPU utilization rate of the target business service according to the current CPU utilization rate of the target business service, updating the historical memory utilization rate of the target business service according to the current memory utilization rate of the target business service, and updating the historical bandwidth of the target business service according to the current bandwidth of the target business service.
In this embodiment, in the case that the difference between the predicted bandwidth and the current bandwidth of the migration service is greater than a preset third threshold, the accuracy of the calculated load occupation weight is ensured by updating the historical CPU utilization, the historical memory utilization, and the historical bandwidth.
It should be noted that, when the difference between the predicted bandwidth and the current bandwidth of the migration service is less than or equal to a preset third threshold, the historical CPU utilization, the historical memory utilization, and the historical bandwidth of the target business service are not updated.
In this embodiment, updating the historical CPU utilization of the target business service according to the current CPU utilization of the target business service specifically includes: assigning the current CPU utilization rate of the target business service to the historical CPU utilization rate of the target business service;
updating the historical memory utilization rate of the target business service according to the current memory utilization rate of the target business service specifically comprises the following steps: the current memory utilization rate of the target business service is assigned to the historical memory utilization rate of the target business service;
updating the historical bandwidth of the target business service according to the current bandwidth of the target business service specifically comprises the following steps: and assigning the current bandwidth according to the target business service to the historical bandwidth of the target business service.
In one embodiment, the determining the file structure weight according to the first number of duty cycles and/or the second number of duty cycles includes:
determining a fourth parameter according to the first quantity duty ratio and the first size duty ratio, wherein the first size duty ratio is the duty ratio of the file sizes of the files to be migrated of the first category in the total file sizes of the files to be migrated;
Determining a fifth parameter according to a second size ratio, wherein the second size ratio is the ratio of the file sizes of the files to be migrated in a second category in the total file sizes of the files to be migrated;
and determining the average value of the fourth parameter and the fifth parameter as the file structure weight.
In this embodiment, when the distribution of the fragmented file and the large-size file in the plurality of files read by the source server is calculated, the size ratio of the fragmented file and the large-size file in the plurality of files read by the source server is introduced in addition to the number ratio of the fragmented file and the large-size file in the plurality of files read by the source server, so that the calculated file structure weight can be more accurate, and the reliability of the predicted bandwidth calculated based on the file structure weight can be further improved.
The calculation flow of the fourth parameter may be shown in formula (4):
in formula (4), w small For the fourth parameter, num small For the total number of files to be migrated of the first category, num all Num is the number of all files to be migrated that have been read currently small /num all For the aforementioned first number duty cycle, size small Is of the first categoryTotal file size, size of files to be migrated all Size is the total file size number of all files to be migrated which are read currently small /size all Is the aforementioned first size duty cycle.
The calculation flow of the fifth parameter may be shown in formula (5):
in formula (5), w large For the fifth parameter, size large The size is the total file size of the first class of files to be migrated all Size is the total file size number of all files to be migrated which are read currently large /size all Is the aforementioned first size duty cycle.
The calculation flow of the file structure weight may be shown in the formula (6):
in formula (6), w file And weighting the file structure.
W is as follows file 、w large 、w small The initial values of (1) are all 1.
In one embodiment, the determining the fourth parameter according to the first number duty cycle and the first size duty cycle includes:
determining a fourth parameter according to the first number duty ratio and the first size duty ratio when the first number duty ratio is larger than a preset fourth threshold value;
the determining a fifth parameter according to the second size ratio includes:
determining a fifth parameter according to the second size ratio if the second number ratio is greater than the fourth threshold;
wherein the value of the fourth threshold is greater than 0.5 and less than or equal to 1.
In this embodiment, by setting the fourth threshold, the number of updates of the file structure weight is reduced, which can reduce the bandwidth adjustment frequency of the migration service on the premise of improving the migration rate, and avoid the problem of transmission fluctuation of the migration service due to frequent bandwidth adjustment.
Illustratively, num can be set large For the total number of files to be migrated in the second category, num all Num is the number of all files to be migrated that have been read currently large /num all Is the aforementioned second number duty cycle.
Illustratively, the fourth threshold may be 0.6.
In one embodiment, the predicted bandwidth is less than or equal to a maximum bandwidth of the source server and the predicted bandwidth is less than or equal to a maximum bandwidth of the target server.
In the embodiment, the predicted bandwidth is limited to be smaller than or equal to the maximum bandwidth of the source server and smaller than or equal to the maximum bandwidth of the target server, so that the calculated predicted bandwidth can be prevented from exceeding the maximum bandwidths supported by the source server and the target server, and smooth running of the migration service is ensured.
The calculation flow of the predicted bandwidth may be shown in the formula (7):
in formula (7), bandwidth service Bandwidth for migrating a current bandwidth of a service recommand Bandwidth forecast for migration services src Bandwidth for maximum bandwidth of source server des Is the maximum bandwidth of the target server.
Referring to fig. 2, fig. 2 is a bandwidth adjustment device for a migration service according to an embodiment of the present disclosure, and as shown in fig. 2, a bandwidth adjustment device 200 for a migration service includes:
the information obtaining module 201 is configured to obtain file reading information of a service to be migrated, where the file reading information includes a plurality of files to be migrated and a file size of each file to be migrated;
the file classification module 202 is configured to classify the plurality of files to be migrated according to the file size of each file to be migrated to obtain a file class of each file to be migrated, where the file class includes a first class and a second class, the file size of the file to be migrated in the first class is smaller than or equal to a preset first threshold, and the file size of the file to be migrated in the second class is greater than or equal to a preset second threshold, and the first threshold is smaller than the second threshold;
a determining module 203, configured to determine a predicted bandwidth of the service to be migrated according to a first number of duty cycles and/or a second number of duty cycles, where the first number of duty cycles is a duty cycle of a first type of files to be migrated in the plurality of files to be migrated, the second number of duty cycles is a duty cycle of a second type of files to be migrated in the plurality of files to be migrated, the predicted bandwidth is inversely related to the first number of duty cycles, and the predicted bandwidth is positively related to the second number of duty cycles;
And the updating module 204 is configured to update the bandwidth configuration of the service to be migrated according to the predicted bandwidth if the difference between the predicted bandwidth and the current bandwidth of the service to be migrated is greater than a preset third threshold.
In one embodiment, the apparatus 200 further comprises:
the load acquisition module is used for acquiring load occupation information of a first business service in a source server and load occupation information of a second business service in a target server, wherein the first business service is a service which is in an operation state except for the service to be migrated in the source server, the second business service is a service which is in an operation state except for the service to be migrated in the target server, and the load occupation information comprises a first parameter corresponding to a CPU occupation condition, a second parameter corresponding to a memory occupation condition and a third parameter corresponding to a bandwidth occupation condition;
the load determining module is used for determining load occupation weights according to the load occupation information of the first business service in the source server and the load occupation information of the second business service in the target server;
the determining module 203 includes:
a file weight calculation unit, configured to determine a file structure weight according to the first number duty ratio and/or the second number duty ratio;
And the bandwidth prediction unit is used for determining the predicted bandwidth according to the file structure weight and the load occupation weight.
In one embodiment, the first parameter is a difference between a historical CPU utilization of a target traffic service and a current CPU utilization of the target traffic service, the second parameter is a difference between a historical memory utilization of the target traffic service and a current memory utilization of the target traffic service, and the third parameter is a ratio of a bandwidth difference of the target traffic service to a historical bandwidth of the target traffic service, wherein the bandwidth difference is a difference between the historical bandwidth of the target traffic service and the current bandwidth of the target traffic service;
wherein the target business service is the first business service or the second business service.
In one embodiment, the update module 204 is further configured to:
and under the condition that the difference between the predicted bandwidth and the current bandwidth of the service to be migrated is larger than a preset third threshold value, updating the historical CPU utilization rate of the target business service according to the current CPU utilization rate of the target business service, updating the historical memory utilization rate of the target business service according to the current memory utilization rate of the target business service, and updating the historical bandwidth of the target business service according to the current bandwidth of the target business service.
In one embodiment, the file weight calculation unit is specifically configured to:
determining a fourth parameter according to the first quantity duty ratio and the first size duty ratio, wherein the first size duty ratio is the duty ratio of the file sizes of the files to be migrated of the first category in the total file sizes of the files to be migrated;
determining a fifth parameter according to the second quantity duty ratio and a second size duty ratio, wherein the second size duty ratio is the duty ratio of the file sizes of the files to be migrated in a second category in the total file sizes of the files to be migrated;
and determining the average value of the fourth parameter and the fifth parameter as the file structure weight.
In one embodiment, the file weight calculation unit is specifically configured to:
said determining a fourth parameter from said first number duty cycle and said first size duty cycle comprises:
determining a fourth parameter according to the first number duty ratio and the first size duty ratio when the first number duty ratio is larger than a preset fourth threshold value;
the determining a fifth parameter according to the second size ratio includes:
determining a fifth parameter according to the second size ratio if the second number ratio is greater than the fourth threshold;
Wherein the value of the fourth threshold is greater than 0.5 and less than or equal to 1.
In one embodiment, the predicted bandwidth is less than or equal to a maximum bandwidth of the source server and the predicted bandwidth is less than or equal to a maximum bandwidth of the target server.
The bandwidth adjusting apparatus 200 for migration service provided in the embodiments of the present disclosure can implement each process in the foregoing method embodiments, and in order to avoid repetition, a description is omitted here.
According to an embodiment of the disclosure, the disclosure further provides an electronic device, a readable storage medium.
FIG. 3 illustrates a schematic block diagram of an example electronic device 300 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 3, the apparatus 300 includes a computing unit 301 that can perform various appropriate actions and processes according to a computer program stored in a Read-Only Memory (ROM) 302 or a computer program loaded from a storage unit 308 into a random access Memory (Random Access Memory, RAM) 303. In the RAM 303, various programs and data required for the operation of the device 300 may also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other by a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, etc.; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, an optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 301 include, but are not limited to, a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphic Process Unit, GPU), various dedicated artificial intelligence (Artificial Intelligence, AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (Digital Signal Processing, DSP), and any suitable processors, controllers, microcontrollers, etc. The computing unit 301 performs the respective methods and processes described above, for example, a bandwidth adjustment method of the migration service. For example, in some embodiments, the bandwidth adjustment method of the migration service may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 300 via the ROM 302 and/or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the bandwidth adjustment method of the migration service described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the bandwidth adjustment method of the migration service in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuitry, field programmable gate arrays (Field-Programmable Gate Array, FPGA), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), application specific standard products (Application Specific Standard Product, ASSP), system On Chip (SOC), complex programmable logic devices (Complex Programmable Logic Device, CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (7)

1. A method for bandwidth adjustment for a migration service, the method comprising:
acquiring file reading information of migration service, wherein the file reading information comprises a plurality of files to be migrated and file sizes of each file to be migrated;
classifying the files to be migrated according to the file size of each file to be migrated to obtain file types of each file to be migrated, wherein the file types comprise a first type and a second type, the file size of the file to be migrated in the first type is smaller than or equal to a preset first threshold value, the file size of the file to be migrated in the second type is larger than or equal to a preset second threshold value, and the first threshold value is smaller than the second threshold value;
Determining a predicted bandwidth of the migration service according to a first quantity duty ratio and/or a second quantity duty ratio, wherein the first quantity duty ratio is the duty ratio of a first type of files to be migrated in the plurality of files to be migrated, the second quantity duty ratio is the duty ratio of a second type of files to be migrated in the plurality of files to be migrated, the predicted bandwidth is in negative correlation with the first quantity duty ratio, and the predicted bandwidth is in positive correlation with the second quantity duty ratio;
updating the bandwidth configuration of the migration service according to the predicted bandwidth under the condition that the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a preset third threshold value;
wherein the method further comprises:
acquiring load occupation information of a first business service in a source server and load occupation information of a second business service in a target server, wherein the first business service is a service which is in an operation state except for the migration service in the source server, the second business service is a service which is in the operation state except for the migration service in the target server, the load occupation information comprises a first parameter corresponding to a CPU occupation condition, a second parameter corresponding to a memory occupation condition and a third parameter corresponding to a bandwidth occupation condition, the first parameter is a difference between a historical CPU utilization rate of the target business service and a current CPU utilization rate of the target business service, the second parameter is a difference between a historical memory utilization rate of the target business service and a current memory utilization rate of the target business service, the third parameter is a ratio of a bandwidth difference of the target business service to a historical bandwidth of the target business service, the bandwidth difference is a difference between a historical bandwidth of the target business service and a current bandwidth of the target business service, and the target business service is the first business service or the second business service;
Determining a load occupation weight according to the load occupation information of the first business service in the source server and the load occupation information of the second business service in the target server;
the determining the predicted bandwidth of the migration service according to the first number of duty cycles and/or the second number of duty cycles comprises:
determining file structure weights according to the first number of the occupied ratios and/or the second number of the occupied ratios;
determining the predicted bandwidth according to the file structure weight and the load occupation weight;
the calculation formula of the prediction bandwidth is as follows:
in the formula, bandwidth service Bandwidth for the current bandwidth of the migration service recommand Bandwidth prediction for the migration service src Bandwidth for the maximum bandwidth of the source server des For the maximum bandwidth, w, of the target server file Weight, w, the file structure service And occupying the weight for the load.
2. The method according to claim 1, wherein the method further comprises:
and under the condition that the difference between the predicted bandwidth and the current bandwidth of the migration service is larger than a preset third threshold value, updating the historical CPU utilization rate of the target business service according to the current CPU utilization rate of the target business service, updating the historical memory utilization rate of the target business service according to the current memory utilization rate of the target business service, and updating the historical bandwidth of the target business service according to the current bandwidth of the target business service.
3. The method according to claim 1, wherein determining the file structure weight from the first number of duty cycles and/or the second number of duty cycles comprises:
determining a fourth parameter according to the first quantity duty ratio and the first size duty ratio, wherein the first size duty ratio is the duty ratio of the file sizes of the files to be migrated of the first category in the total file sizes of the files to be migrated;
determining a fifth parameter according to a second size ratio, wherein the second size ratio is the ratio of the file sizes of the files to be migrated in a second category in the total file sizes of the files to be migrated;
and determining the average value of the fourth parameter and the fifth parameter as the file structure weight.
4. A method according to claim 3, wherein said determining a fourth parameter from said first number duty cycle and first size duty cycle comprises:
determining a fourth parameter according to the first number duty ratio and the first size duty ratio when the first number duty ratio is larger than a preset fourth threshold value;
the determining a fifth parameter according to the second size ratio includes:
Determining a fifth parameter according to the second size ratio if the second number ratio is greater than the fourth threshold;
wherein the value of the fourth threshold is greater than 0.5 and less than or equal to 1.
5. A bandwidth adjustment apparatus for a migration service, the apparatus comprising:
the information acquisition module is used for acquiring file reading information of the migration service, wherein the file reading information comprises a plurality of files to be migrated and file sizes of the files to be migrated;
the file classification module is used for classifying the files to be migrated according to the file size of each file to be migrated to obtain a file type of each file to be migrated, wherein the file type comprises a first type and a second type, the file size of the file to be migrated in the first type is smaller than or equal to a preset first threshold value, the file size of the file to be migrated in the second type is larger than or equal to a preset second threshold value, and the first threshold value is smaller than the second threshold value;
a determining module, configured to determine a predicted bandwidth of the migration service according to a first number of duty cycles and/or a second number of duty cycles, where the first number of duty cycles is a duty cycle of a first type of files to be migrated in the plurality of files to be migrated, the second number of duty cycles is a duty cycle of a second type of files to be migrated in the plurality of files to be migrated, the predicted bandwidth is inversely related to the first number of duty cycles, and the predicted bandwidth is positively related to the second number of duty cycles;
An updating module, configured to update a bandwidth configuration of the migration service according to the predicted bandwidth if a difference between the predicted bandwidth and a current bandwidth of the migration service is greater than a preset third threshold;
wherein the apparatus further comprises:
the load acquisition module is used for acquiring load occupation information of a first business service in a source server and load occupation information of a second business service in a target server, wherein the first business service is a service which is in an operation state except for the migration service in the source server, the second business service is a service which is in an operation state except for the migration service in the target server, the load occupation information comprises a first parameter corresponding to a CPU occupation condition, a second parameter corresponding to a memory occupation condition and a third parameter corresponding to a bandwidth occupation condition, the first parameter is a difference between a historical CPU utilization rate of the target business service and a current CPU utilization rate of the target business service, the second parameter is a difference between a historical memory utilization rate of the target business service and a current memory utilization rate of the target business service, the third parameter is a ratio between a bandwidth difference of the target business service and a historical bandwidth of the target business service, the bandwidth difference is a difference between a historical bandwidth of the target business service and a current bandwidth of the target business service, and the first business service or the first business service;
The load determining module is used for determining load occupation weights according to the load occupation information of the first business service in the source server and the load occupation information of the second business service in the target server;
the determining module includes:
a file weight calculation unit, configured to determine a file structure weight according to the first number duty ratio and/or the second number duty ratio;
the bandwidth prediction unit is used for determining the predicted bandwidth according to the file structure weight and the load occupation weight;
the calculation formula of the prediction bandwidth is as follows:in the formula, bandwidth service Bandwidth for the current bandwidth of the migration service recommand Bandwidth prediction for the migration service src Bandwidth for the maximum bandwidth of the source server des For the maximum bandwidth, w, of the target server file Weight, w, the file structure service And occupying the weight for the load.
6. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, which when executed by the processor performs the steps of the method according to any one of claims 1 to 4.
7. A readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the method according to any of claims 1 to 4.
CN202310877055.XA 2023-07-18 2023-07-18 Bandwidth adjustment method and device for migration service and related equipment Active CN116614379B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310877055.XA CN116614379B (en) 2023-07-18 2023-07-18 Bandwidth adjustment method and device for migration service and related equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310877055.XA CN116614379B (en) 2023-07-18 2023-07-18 Bandwidth adjustment method and device for migration service and related equipment

Publications (2)

Publication Number Publication Date
CN116614379A CN116614379A (en) 2023-08-18
CN116614379B true CN116614379B (en) 2023-10-10

Family

ID=87682150

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310877055.XA Active CN116614379B (en) 2023-07-18 2023-07-18 Bandwidth adjustment method and device for migration service and related equipment

Country Status (1)

Country Link
CN (1) CN116614379B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105163137A (en) * 2015-08-20 2015-12-16 小米科技有限责任公司 Network bandwidth adjusting method and system, router and video playing device
CN107220263A (en) * 2016-03-22 2017-09-29 阿里巴巴集团控股有限公司 Optimization method, appraisal procedure and the processing method and processing device of Data Migration
CN111399977A (en) * 2020-02-29 2020-07-10 苏州浪潮智能科技有限公司 Virtual machine migration method, device, equipment and medium
CN111629028A (en) * 2020-04-10 2020-09-04 清华大学 Data transmission scheduling system for distributed multi-cloud storage
CN114650277A (en) * 2022-03-11 2022-06-21 中国工商银行股份有限公司 File transmission control method and device
CN114706816A (en) * 2022-03-24 2022-07-05 中国银行股份有限公司 Data migration method and device and storage medium
CN115442679A (en) * 2021-05-18 2022-12-06 华为技术有限公司 Bandwidth adjusting method and device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8984269B2 (en) * 2011-02-28 2015-03-17 Red Hat, Inc. Migrating data among cloud-based storage networks via a data distribution service

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105163137A (en) * 2015-08-20 2015-12-16 小米科技有限责任公司 Network bandwidth adjusting method and system, router and video playing device
CN107220263A (en) * 2016-03-22 2017-09-29 阿里巴巴集团控股有限公司 Optimization method, appraisal procedure and the processing method and processing device of Data Migration
CN111399977A (en) * 2020-02-29 2020-07-10 苏州浪潮智能科技有限公司 Virtual machine migration method, device, equipment and medium
CN111629028A (en) * 2020-04-10 2020-09-04 清华大学 Data transmission scheduling system for distributed multi-cloud storage
CN115442679A (en) * 2021-05-18 2022-12-06 华为技术有限公司 Bandwidth adjusting method and device
CN114650277A (en) * 2022-03-11 2022-06-21 中国工商银行股份有限公司 File transmission control method and device
CN114706816A (en) * 2022-03-24 2022-07-05 中国银行股份有限公司 Data migration method and device and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
视频访问负载的分级存储及迁移算法研究;蒋平川;冯圣中;;计算机工程与设计(第08期);全文 *
面向业务特征的自适应虚拟机迁移带宽分配算法;刘诗海;孙宇清;刘古月;;计算机学报(第09期);全文 *

Also Published As

Publication number Publication date
CN116614379A (en) 2023-08-18

Similar Documents

Publication Publication Date Title
CN114500339B (en) Node bandwidth monitoring method and device, electronic equipment and storage medium
CN114911598A (en) Task scheduling method, device, equipment and storage medium
CN114448802B (en) Gateway configuration method, device, electronic equipment and storage medium
CN112506619A (en) Job processing method, apparatus, electronic device, storage medium, and program product
CN114065864B (en) Federal learning method, federal learning device, electronic apparatus, and storage medium
CN114742237A (en) Federal learning model aggregation method and device, electronic equipment and readable storage medium
CN114742000A (en) SoC chip verification system, verification method and device based on FPGA cluster
CN116614379B (en) Bandwidth adjustment method and device for migration service and related equipment
CN116841870A (en) Test method, system, device, equipment and storage medium
CN116594563A (en) Distributed storage capacity expansion method and device, electronic equipment and storage medium
CN115567602A (en) CDN node back-to-source method, device and computer readable storage medium
CN115328612A (en) Resource allocation method, device, equipment and storage medium
CN114416357A (en) Method and device for creating container group, electronic equipment and medium
CN114138358A (en) Application program starting optimization method, device, equipment and storage medium
CN114139605A (en) Distributed model training method, system, device and storage medium
CN114048010A (en) Method, device, equipment and storage medium for controlling service timeout time
CN114051057A (en) Method and device for determining queuing time of cloud equipment, electronic equipment and medium
CN114064284B (en) Cloud server resource allocation method and device, electronic equipment and medium
EP4036861A2 (en) Method and apparatus for processing point cloud data, electronic device, storage medium, computer program product
CN115242648B (en) Expansion and contraction capacity discrimination model training method and operator expansion and contraction capacity method
CN115361449B (en) Method, device, equipment and storage medium for adjusting IP resources
CN115860077B (en) Method, device, equipment and storage medium for processing state data
CN113901312A (en) Interest point aggregation method and device
CN115952874A (en) Federal learning method, device, server, electronic equipment and readable storage medium
CN116862638A (en) Adaptation method, device, equipment and storage medium of system difference

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