CN108282378A - A kind of method and apparatus of monitoring traffic in network - Google Patents

A kind of method and apparatus of monitoring traffic in network Download PDF

Info

Publication number
CN108282378A
CN108282378A CN201710007945.XA CN201710007945A CN108282378A CN 108282378 A CN108282378 A CN 108282378A CN 201710007945 A CN201710007945 A CN 201710007945A CN 108282378 A CN108282378 A CN 108282378A
Authority
CN
China
Prior art keywords
task
group system
network flow
daily record
group
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
CN201710007945.XA
Other languages
Chinese (zh)
Other versions
CN108282378B (en
Inventor
曾军
路璐
吴威
方圆
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.)
Alibaba Group Holding Ltd
Original Assignee
Alibaba Group Holding 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 Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to CN201710007945.XA priority Critical patent/CN108282378B/en
Publication of CN108282378A publication Critical patent/CN108282378A/en
Application granted granted Critical
Publication of CN108282378B publication Critical patent/CN108282378B/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
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/02Capturing of monitoring data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/1734Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/18File system types
    • G06F16/182Distributed file systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/06Generation of reports
    • 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (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)
  • Environmental & Geological Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The embodiment of the present application discloses a kind of method of monitoring traffic in network.The method includes:Monitoring system obtains the task scheduling daily record that task submits equipment to be generated for the task when task is submitted;Monitoring system is based on the task scheduling daily record, counts the network flow across cluster in the distributed file system;Monitoring system exports the statistical result of the network flow.Wherein, the task that the task submits equipment to be used to handle in distributed file system is submitted, and the task scheduling daily record includes that the task indicates the first data volume that the first group system is read from the second group system.Pass through method provided by the embodiments of the present application, the case where largely across company-data read operation occupies a large amount of network bandwidths in distributed file system can be prompted in advance when distributed file system provides the services such as off-line calculation, to avoid network bandwidth from largely being occupied by across company-data read operation.In addition, the embodiment of the present application also discloses a kind of equipment of monitoring traffic in network.

Description

A kind of method and apparatus of monitoring traffic in network
Technical field
This application involves network data processing technique, more particularly to a kind of method and apparatus of monitoring traffic in network.
Background technology
In order to adapt to the magnanimity job requirements of big data processing platform, distributed file system can provide multiple for counting According to the group system of storage.That is, the data in distributed file system be assigned to multiple and different group systems into Row storage.When providing the services such as off-line calculation, the data read operation in distributed file system needs across group system reality It is existing.Specifically, it is assumed that group system A and group system B is two cluster systems for data storage in distributed file system System, group system A can be from the data being stored in group system B be read in group system B, group system B can also be from collection Group's system A reads the data for being stored in group system A.
Between each group system connected by the network equipment in distributed file system, therefore, across the number of cluster Network bandwidth can be occupied according to read operation.In the prior art, distributed file system is when providing the services such as off-line calculation, sometimes Meeting occupied a large amount of network bandwidths because of largely across company-data read operation, at this point, distributed file system is normal Operation will be affected.
Invention content
The technical problem to be solved in the embodiments of the present application is that a kind of method and apparatus of monitoring traffic in network are provided, with The case where largely across company-data read operation occupies a large amount of network bandwidths in distributed file system is enable to occur it It is preceding to prompt in advance, to avoid network bandwidth from largely being occupied by across company-data read operation, avoid distributed file system Normal operation is affected.
In a first aspect, the embodiment of the present application provides a kind of method of monitoring traffic in network, it is applied to monitoring system, packet It includes:
Acquisition task submits the task scheduling daily record that equipment is generated when task is submitted for the task, the task to submit The task that equipment is used to handle in distributed file system is submitted, and the task scheduling daily record includes first collection of task instruction The first data volume that group's system is read from the second group system;
Based on the task scheduling daily record, count the network flow across cluster in the distributed file system, it is described across The network flow of cluster includes the network flow between first group system and second group system;
Export the statistical result of the network flow.
Optionally, the task scheduling daily record further includes that the task indicates first group system from third cluster system The third data volume that the second data volume and second group system read in system is read from the third group system, institute State the network flow across cluster further include network flow between first group system and the third group system and Network flow between second group system and the third group system.
Optionally, described to be based on the task scheduling daily record, count the network across cluster in the distributed file system Flow, including:
First data volume is identified from the task scheduling daily record;
According to first data volume, the first cluster system described in the distributed file system in statistics specified time Network flow between system and second group system;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
Optionally, described to be based on the task scheduling daily record, count the network across cluster in the distributed file system Flow, specially:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as Overall network flow involved in the task execution process.
Optionally, further include:
The statistical result of the network flow is saved in data persistence system.
Optionally, further include:
Meet prerequisite in response to the statistical result, exports warning message.
Optionally, record has the identifying of the task, the mark of first group system in the task scheduling daily record Know, the mark of second group system and first data volume, wherein the mark of second group system and described the One data volume has correspondence.
Second aspect, the embodiment of the present application provide a kind of method of monitoring traffic in network, are applied to task and submit equipment, The task that the task submits equipment to be used to handle in distributed file system is submitted;
The method includes:
In response to the submission instruction of task, task scheduling daily record is generated for the task;
The task scheduling daily record is sent to monitoring system, so that the monitoring system is based on the task scheduling daily record, The network flow across cluster in the distributed file system is counted, and exports the statistical result of the network flow;
Wherein, the task scheduling daily record includes that the task indicates that the first group system is read from the second group system The first data volume, the network flow across cluster includes between first group system and second group system Network flow.
Optionally, the task scheduling daily record further includes that the task indicates first group system from third cluster system The third data volume that the second data volume and second group system read in system is read from the third group system, institute State the network flow across cluster further include network flow between first group system and the third group system and Network flow between second group system and the third group system.
Optionally, record has the identifying of the task, the mark of first group system in the task scheduling daily record Know, the mark of second group system and first data volume, wherein the mark of second group system and described the One data volume has correspondence.
The third aspect, the embodiment of the present application provide a kind of device of monitoring traffic in network, are configured at monitoring system, packet It includes:
Acquiring unit, the task scheduling day for submitting equipment to be generated for the task when task is submitted for obtaining task Will, the task that the task submits equipment to be used to handle in distributed file system are submitted, and the task scheduling daily record includes institute It states task and indicates the first data volume that the first group system is read from the second group system;
Statistic unit counts the net across cluster in the distributed file system for being based on the task scheduling daily record Network flow, the network flow across cluster include the network flow between first group system and second group system Amount;
First output unit, the statistical result for exporting the network flow.
Optionally, the task scheduling daily record further includes that the task indicates first group system from third cluster system The third data volume that the second data volume and second group system read in system is read from the third group system, institute State the network flow across cluster further include network flow between first group system and the third group system and Network flow between second group system and the third group system.
Optionally, the statistic unit, is specifically used for:
First data volume is identified from the task scheduling daily record;
According to first data volume, the first cluster system described in the distributed file system in statistics specified time Network flow between system and second group system;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
Optionally, the statistic unit, is specifically used for:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as Overall network flow involved in the task execution process.
Optionally, further include:
Storage unit, for the statistical result of the network flow to be saved in data persistence system.
Optionally, further include:
Second output unit exports warning message for meeting prerequisite in response to the statistical result.
Optionally, record has the identifying of the task, the mark of first group system in the task scheduling daily record Know, the mark of second group system and first data volume, wherein the mark of second group system and described the One data volume has correspondence.
Fourth aspect, the embodiment of the present application provide a kind of device of monitoring traffic in network, are configured at task and submit equipment, The task that the task submits equipment to be used to handle in distributed file system is submitted;
Described device includes:
Generation unit, instructs for the submission in response to task, and task scheduling daily record is generated for the task;
Transmission unit, for sending the task scheduling daily record to monitoring system, so that the monitoring system is based on described Task scheduling daily record counts the network flow across cluster in the distributed file system, and exports the system of the network flow Count result;
Wherein, the task scheduling daily record includes that the task indicates that the first group system is read from the second group system The first data volume, the network flow across cluster includes between first group system and second group system Network flow.
Optionally, the task scheduling daily record further includes that the task indicates first group system from third cluster system The third data volume that the second data volume and second group system read in system is read from the third group system, institute State the network flow across cluster further include network flow between first group system and the third group system and Network flow between second group system and the third group system.
Optionally, record has the identifying of the task, the mark of first group system in the task scheduling daily record Know, the mark of second group system and first data volume, wherein the mark of second group system and described the One data volume has correspondence.
5th aspect, the embodiment of the present application provide a kind of system of monitoring traffic in network, including:Monitoring system, task Submit equipment and distributed file system;The task that the task submits equipment to be used to handle in distributed file system is submitted; The distributed file system includes at least the first group system and the second group system;
The task submits equipment, is instructed for the submission in response to task, and task scheduling daily record is generated for the task; Wherein, the task scheduling daily record includes that the task indicates the first number that the first group system is read from the second group system According to amount;
The monitoring system, task of submitting equipment to be generated for the task when task is submitted for obtaining the task Plan daily record, be based on the task scheduling daily record, count the network flow across cluster in the distributed file system, exports institute State the statistical result of network flow;Wherein, the network flow across cluster includes first group system and described second Network flow between group system.
Optionally, the distributed file system further includes third group system;
The task scheduling daily record further includes that the task indicates that first group system is read from third group system The third data volume that the second data volume and second group system taken is read from the third group system, it is described across collection The network flow of group further includes network flow between first group system and the third group system and described the Network flow between two group systems and the third group system.
Optionally, in order to count the network flow in the distributed file system across cluster, the monitoring system is specific For:
First data volume is identified from the task scheduling daily record;
According to first data volume, the first cluster system described in the distributed file system in statistics specified time Network flow between system and second group system;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
Optionally, in order to count the network flow in the distributed file system across cluster, the monitoring system is specific For:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as Overall network flow involved in the task execution process.
Optionally, the monitoring system is additionally operable to:
The statistical result of the network flow is saved in data persistence system.
Optionally, the monitoring system is additionally operable to:
Meet prerequisite in response to the statistical result, exports warning message.
Optionally, record has the identifying of the task, the mark of first group system in the task scheduling daily record Know, the mark of second group system and first data volume, wherein the mark of second group system and described the One data volume has correspondence.
Compared with prior art, the application has the following advantages:
According to the technical solution of the embodiment of the present application, task submits equipment when task is submitted, in response to the task It is that the task generates task scheduling daily record and is sent to monitoring system to submit instruction, wherein the task is related to the first cluster System reads the operation of data from the second group system, and record has the task instruction first in the task scheduling daily record The data volume that group system is read from the second group system.Monitoring system is according to the task scheduling daily record got, statistical Across the network flow of cluster in cloth file system, and export the statistical result of the network flow.It can be seen that due to task Plan daily record be generate and send to carry out network flow statistic to monitoring system when task is submitted, so, distributed literary Before the practical execution task of part system, monitoring system can export the statistical result of the network flow based on the task, therefore, Distributed file system can be predicted when providing the services such as off-line calculation and export across the company-data read operation that will be executed Required network flow, to prompt in advance in distributed file system, largely across company-data read operation occupies a large amount of nets The case where network bandwidth, is largely occupied to avoid network bandwidth by across company-data read operation, to avoid distributed field system The normal operation of system is affected.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments described in application, for those of ordinary skill in the art, without creative efforts, Other drawings may also be obtained based on these drawings.
Fig. 1 is the network system block schematic illustration involved by an application scenarios in the embodiment of the present application;
Fig. 2 is a kind of flow diagram of the method for monitoring traffic in network in the embodiment of the present application;
Fig. 3 is a kind of flow diagram of the method for monitoring traffic in network in the embodiment of the present application;
Fig. 4 is a kind of structural schematic diagram of the device of monitoring traffic in network in the embodiment of the present application;
Fig. 5 is a kind of structural schematic diagram of the device of monitoring traffic in network in the embodiment of the present application;
Fig. 6 is a kind of structural schematic diagram of the system of monitoring traffic in network in the embodiment of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only this Apply for a part of the embodiment, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art exist The every other embodiment obtained under the premise of creative work is not made, shall fall in the protection scope of this application.
The application can be used in numerous general or special purpose computing system environments or configuration.Such as:Personal computer, service Device computer, handheld device or portable device, laptop device, multicomputer system, microprocessor-based system, top set Box, programmable consumer-elcetronics devices, network PC, minicomputer, mainframe computer including any of the above system or equipment Distributed computing environment etc..
The application can describe in the general context of computer-executable instructions executed by a computer, such as program Module.Usually, program module includes routines performing specific tasks or implementing specific abstract data types, program, object, group Part, data structure etc..The application can also be put into practice in distribution counts environment, in these distributed computing environments, by leading to Cross communication network and connected remote processing devices execute task.In a distributed computing environment, program module can position In the local and remote computer storage media including storage device.
Present inventor passes through the study found that in the prior art, distributed file system is providing off-line calculation etc. When service, it sometimes appear that largely across company-data read operation.Due to being connected by the network equipment between each group system, Largely across company-data read operation can occupy a large amount of network bandwidth between each group system for these, therefore, distributed text The normal operation of part system will influence.
To solve the above-mentioned problems, in the embodiment of the present application, it is contemplated that across company-data read operation is held in task Operation during row, and when task is submitted, across company-data read operation has not been performed, across company-data read operation Corresponding network flow does not occur in distributed file system yet, can be that task generation is appointed when task is submitted therefore Business plan daily record, can record the corresponding network flow of across company-data operation of task instruction in task scheduling daily record, Therefore, before task execution, the task scheduling daily record based on each task can count in distributed file system in advance Network flow across cluster and output, therefore, distributed file system can be predicted and be exported when providing the services such as off-line calculation The required network flow of across company-data read operation that will be executed, it is a large amount of in distributed file system to prompt in advance Across company-data read operation occupies the case where a large amount of network bandwidths, big by across company-data read operation to avoid network bandwidth Amount occupies, to avoid the normal operation of distributed file system from being affected.
For example, the embodiment of the present application for example can be applied in network system as shown in Figure 1.In the network system With multiple group systems 103, data read operation, i.e. a group system can be carried out between different group systems 103 103 can read data from another group system 103.The network system is indicated with the first group system and the second group system The different group system 103 of any two in system a, it is assumed that there are task relates to the first group system from the second cluster The operation of data is read in system, task submits equipment 101 to appoint for task generation in response to the submission instruction of the task Business plan daily record is simultaneously sent to monitoring system 102, wherein record has the task instruction first in the task scheduling daily record The data volume that group system is read from the second group system.Monitoring system 102 is according to the task scheduling daily record got, statistics Across the network flow of cluster in distributed file system, and export the statistical result of the network flow, wherein described across cluster Network flow include network flow between first group system and second group system.
After describing the main thought of the application, below in conjunction with the accompanying drawings, the various unrestricted of the application is described in detail Property embodiment.
Referring to Fig. 2, a kind of flow diagram of the method for monitoring traffic in network in the embodiment of the present application is shown.In this reality It applies in example, the method can be applied to monitoring system, i.e., is executed by the monitoring system.The method for example can specifically wrap Include following steps:
Step 201 obtains the task scheduling daily record that task submits equipment to be generated for the task when task is submitted, described The task that task submits equipment to be used to handle in distributed file system is submitted, and the task scheduling daily record includes that the task refers to Show the first data volume that the first group system is read from the second group system.
Distributed file system can respond and be related to across company-data read operation when providing the services such as off-line calculation Task.In the submission request for receiving the task, task submits equipment that can be submitted to the task.Wherein, appoint Business submits equipment when submitting the task, and it is that the task generates task scheduling that can be instructed in response to the submission of the task Daily record is simultaneously sent to monitoring system.
In the present embodiment, can record that the task is related in the task scheduling daily record of the task one or Multiple data volumes across company-data read operation.Assuming that needing the first group system from second during the task execution The first data volume is read in group system, then the first group system pair can be recorded in the task scheduling daily record of the task The data read operation of two group systems and its corresponding first data volume.Assuming that in addition to needing during the task execution First group system is read from the second group system except the first data volume, it is also necessary to which the first group system is from third cluster system The second data volume is read in system, then can also include that the task indicates described first in the task scheduling daily record of the task The second data volume that group system is read from third group system can also be remembered in the task scheduling daily record of the task Record data read operation and its corresponding second data volume of first group system to third group system.It assumes again that at described In addition to needing the first group system to read the first data volume and the first cluster system from the second group system in business implementation procedure System is read from third group system except the second data volume, it is also necessary to which the second group system reads the from third group system Three data volumes, then can also include in the task scheduling daily record of the task task indicate second group system from The third data volume read in third group system can also record the second cluster in the task scheduling daily record of the task Data read operation and its corresponding third data volume of the system to third group system.Certainly, in order to more fully predict point Network traffic conditions in cloth file system, all across the company-data read operations and its corresponding number that the task is related to It can be recorded in the task scheduling daily record of the task according to amount.
It is understood that for a task, all across company-data read operations which is related to all are Data are read from other group systems as the group system where the task, that is, the group system for obtaining data is identical , the group system for providing data can be identical or different.For this purpose, in some embodiments of the present embodiment, in institute The mark stated and can for example record the mark of the task in task scheduling daily record, obtain the group system of data, provides number According to group system mark and the corresponding data volume of data read operation, wherein provide the mark of the group system of data with There is correspondence between the corresponding data volume of data read operation.For example, it is assumed that needing during the task execution One group system reads the first data volume from the second group system, in the task scheduling daily record of the task, obtains data Group system the mark for being identified as the first group system, second group system of being identified as of the group system of data is provided Mark, the corresponding data volume of data read operation are the first data volume, wherein the mark of the second group system and the first data volume Between have correspondence.For another example, it is assumed that in addition to needing the first group system from the second cluster during the task execution It is read in system except the first data volume, it is also necessary to which the first group system reads the second data volume from third group system, then In the task scheduling daily record of the task in addition to record have the mark of the task, the mark of the first group system and with pair Except the mark and the first data volume of the second group system that should be related to, the mark and of third group system can also be recorded Two data volumes, wherein the mark of third group system and the second data volume have correspondence.
In some embodiments of the present embodiment, the mode that task submits equipment to generate task scheduling daily record is for example specific Can be:Task submits equipment to be instructed in response to the submission of task, obtains the input file and file size of task;Task is submitted Equipment summarizes all input files of the task according to the group system for providing data, obtain the task across collection Group's input information;Task submits equipment to generate task scheduling daily record according to across the cluster input information of the task.Wherein, task Submit equipment that can obtain input file and file size, the format of input file information by the input file information of task Such as can be<File format>://<Cluster>/<File path>/:<File size>.For example, if the input text of task Part information is pangu://fake_cluster2/fake_dir2/fake_path:100, pangu indicate what file system used Agreement, fake_cluster2 indicate the group system (group system for providing data) where file, read the path of file It is fake_dir2/fake_path, 100 indicate file size (i.e. the corresponding data volume of data read operation).If task is defeated It is [pangu to enter fileinfo://fake_cluster2/fake_dir/fake_path:100,pangu://fake_ cluster3/fake_dir3/fake_path:100], then task submit equipment summarize the task obtained later across collection Group's input information can be { fake_cluster2:100,fake_cluster3:300}.The task scheduling day further generated Will can be (TaskName:fake_task,running_cluster:fake_cluster,ClusterInputInfo: {fake_cluster2:100,fake_cluster3:300 }), wherein fake_task is the mark of the task, fake_ It is institute that the mark of group systems of the cluster where the task, fake_cluster2 and fake_cluster3, which are two, The mark that task provides the group system of data is stated, 100 indicate that fake_cluster is from fake_cluster2 in the task The data volume of reading, 300 indicate the data volume that fake_cluster is read from fake_cluster3 in the task.
Step 202 is based on the task scheduling daily record, counts the network flow across cluster in the distributed file system Amount, the network flow across cluster includes the network flow between first group system and second group system.
It is understood that may be embodied in institute based on the network flow across cluster that the task scheduling log statistic goes out State the network flow between corresponding two group systems of any one data read operation during task execution.For example, If the task indicates that the first group system reads the first data volume from second system cluster, the network flow across cluster Amount may include the network flow between the first group system and the second group system.For another example, if the task is in addition to instruction the One group system is read from second system cluster except the first data volume, also indicates the first group system from third group system The second data volume of middle reading, then the network flow across cluster can also include the first group system and third group system it Between network flow.For another example, if the task reads the first data in addition to the first group system of instruction from second system cluster Amount and the first group system are read from third group system except the second data volume, also indicate the second group system from third Third data volume is read in group system, then the network flow across cluster can also include the second group system and third collection Network flow between group's system.
The statistical result of step 203, the output network flow.
Specifically, monitoring system may include message handling system and stream processing system.Message handling system is receiving When task submits the content that equipment is sent, task scheduling daily record can be identified from these contents and sends out task scheduling daily record Give stream processing system, wherein know otherwise such as can be keyword filtering.Stream processing system is receiving at message When the task scheduling daily record that reason system is sent, mark, the institute of the task can be obtained by parsing the task scheduling daily record The information such as across company-data read operation and its corresponding data volume involved in time that the task of stating is acquired, the task. Based on acquired information, stream processing system can be with the network flow across cluster in statistical cloth file system, in order to defeated Go out to technical staff, to prompt the occupancy situation of network bandwidth in technical staff's distributed file system in advance.
It is understood that distributed file system would generally appoint when providing the services such as off-line calculation to one or more Business submits device request to submit multiple tasks, and it can be that multiple tasks generate task meter respectively that one or more tasks, which submit equipment, It draws daily record and is sent to monitoring system, monitoring system can be based on the task scheduling log statistic distributed field system of multiple tasks Across the network flow of cluster in system.
In the present embodiment, various ways may be used to distribution in task based access control plan daily record, monitoring system Network flow in file system across cluster is counted, to obtain a variety of different statistical results.
For example, in some embodiments of this implementation, monitoring system can count all tasks whithin a period of time and relate to And two specified cluster systems between overall network flow, so as to prompt in advance between technical staff's specified cluster system Network bandwidth occupancy situation.Specifically, step 202 for example may include:Institute is identified from the task scheduling daily record State the first data volume;According to first data volume, in statistics specified time first described in the distributed file system Network flow between group system and second group system;Wherein, the acquisition time of the task scheduling daily record belongs to In the specified time.More specifically, monitoring system can find out the task meter of all tasks got in specified time Daily record is drawn, identifies that all the second group systems of first group system pair read data from the task scheduling daily record of these tasks Data volume, the sum of data volume identified is the within a specified time net between the first group system and the second group system Network flow.
For another example, in other embodiments of the present embodiment, monitoring system can count the institute involved by particular task There is the overall network flow that across company-data read operation occupies, it is total when so as to prompt technical staff's particular task to execute in advance The network flow occupied altogether.That is, step 202 for example may include:Based on the task scheduling daily record, counts the task and refer to The total amount of data read across group system shown, as the overall network flow involved in the task execution process.Further and Speech, monitoring system can count the network flow occupied in total when all task executions, and it is maximum to occupy network flow for then output One or more tasks, to which prompt technical staff excessively occupies the task of network bandwidth in advance, so that technical staff can These tasks are handled in advance, it is excessive to avoid network bandwidth consumption.
It is understood that the statistical result of network flow is checked at any time for the ease of technical staff, in the present embodiment In some embodiments, after monitoring system obtains the statistical result of network flow, other than being exported, such as can be with The statistical result of the network flow is saved in data persistence system.Wherein, data persistence system for example can be several According to library system.Certainly, the task scheduling daily record got can be also saved in data persistence system by monitoring system, so as to full The subsequent statistical demand of foot.
It should be noted that in order to enable a technician to notice that the network bandwidth being subsequently likely to occur is different
MP1604840 is normal, and in some embodiments of the present embodiment, monitoring system for example may also respond to the system Meter result meets the prerequisite for indicating exception of network traffic, exports warning message.For example, when if statistical result is specified Overall network flow in interior distributed file system between the first group system and the second group system, the then prerequisite It can be the network flow upper limit between group system, if statistical result is more than the prerequisite, export warning message.Again Such as, if statistical result is the network flow occupied in total when particular task execution, the prerequisite can be that task occupies The network flow upper limit, if statistical result be more than the prerequisite, export warning message.
In a realization Sample Scenario of the present embodiment, the mark of task for example can be 001, where task run The mark of group system can be for example AY-A, and the input file information of task for example may include the following contents:
pangu://AY-A/fake_dir2/fake_path:45678
pangu://AY-B/fake_dir/fake_path:123456
pangu://AY-C/fake_dir2/fake_path:234567
pangu://AY-D/fake_dir2/fake_path:345678
The task scheduling daily record of the task for example may include the following contents:
TaskID:001
Cluster:AY-A
ClusterInputInfo:{“AY-B”:123456,“AY-C”:234567,“AY-D”:345678}
Monitoring system parses the task scheduling daily record of the task, and obtained information for example can be shown in table 1 Content:
Table 1
This cluster Remote cluster TaskID Size
AY-A AY-B 001 123456
AY-A AY-C 001 234567
AY-A AY-D 001 345678
Monitoring system for example can be content shown in table 2 based on the statistical result that the task scheduling log statistic obtains:
Table 2
Technical solution through this embodiment, it is contemplated that across company-data read operation is the behaviour in task implementation procedure Make, and across company-data read operation has not been performed when task is submitted, the corresponding network flow of across company-data read operation Amount does not occur in distributed file system yet, can be that task generates task scheduling daily record when task is submitted therefore, Therefore the corresponding network flow of across company-data operation that task instruction can be recorded in task scheduling daily record is held in task Before row, the task scheduling daily record based on each task can count the network flow in distributed file system across cluster in advance Measure and export, therefore, distributed file system provide can be predicted when the services such as off-line calculation and export will execute across collection Group's required network flow of data read operation, to prompt largely across company-data reading in distributed file system in advance Operation occupies the case where a large amount of network bandwidths, is largely occupied by across company-data read operation to avoid network bandwidth, to keep away The normal operation for exempting from distributed file system is affected.
Referring to Fig. 3, a kind of flow diagram of the method for monitoring traffic in network in the embodiment of the present application is shown.In this reality It applies in example, the method is applied to task and equipment, i.e. the method is submitted to submit equipment to execute by the task, and the task carries The task that equipment is used to handle in distributed file system is handed over to submit.The method for example can specifically include following steps:
Step 301, the submission instruction in response to task, task scheduling daily record is generated for the task;
Step 302 sends the task scheduling daily record to monitoring system, so that the monitoring system is based on the task meter Daily record is drawn, counts the network flow across cluster in the distributed file system, and export the statistical result of the network flow;
Wherein, the task scheduling daily record includes that the task indicates that the first group system is read from the second group system The first data volume, the network flow across cluster includes between first group system and second group system Network flow.
Optionally, the task scheduling daily record for example can also include that the task indicates first group system from the The third that the second data volume and second group system read in three group systems is read from the third group system Data volume, the network flow across cluster further include the network between first group system and the third group system Network flow between flow and second group system and the third group system.
Optionally, the identifying of the task, first cluster can be for example recorded in the task scheduling daily record The identifying of system, the mark of second group system and first data volume, wherein the mark of second group system There is correspondence with first data volume.
Technical solution through this embodiment, it is contemplated that across company-data read operation is the behaviour in task implementation procedure Make, and across company-data read operation has not been performed when task is submitted, the corresponding network flow of across company-data read operation Amount does not occur in distributed file system yet, can be that task generates task scheduling daily record when task is submitted therefore, Therefore the corresponding network flow of across company-data operation that task instruction can be recorded in task scheduling daily record is held in task Before row, the task scheduling daily record based on each task can count the network flow in distributed file system across cluster in advance Measure and export, therefore, distributed file system provide can be predicted when the services such as off-line calculation and export will execute across collection Group's required network flow of data read operation, to prompt largely across company-data reading in distributed file system in advance Operation occupies the case where a large amount of network bandwidths, is largely occupied by across company-data read operation to avoid network bandwidth, to keep away The normal operation for exempting from distributed file system is affected.
Referring to Fig. 4, a kind of structural schematic diagram of the device of monitoring traffic in network in the embodiment of the present application is shown.In this reality It applies in example, described device is configured at monitoring system.Described device for example can specifically include:
Acquiring unit 401, the task scheduling for submitting equipment to be generated for the task when task is submitted for obtaining task Daily record, the task that the task submits equipment to be used to handle in distributed file system are submitted, and the task scheduling daily record includes The task indicates the first data volume that the first group system is read from the second group system;
Statistic unit 402 counts in the distributed file system for being based on the task scheduling daily record across cluster Network flow, the network flow across cluster include the network between first group system and second group system Flow;
First output unit 403, the statistical result for exporting the network flow.
Optionally, the task scheduling daily record for example can also include that the task indicates first group system from the The third that the second data volume and second group system read in three group systems is read from the third group system Data volume, the network flow across cluster further include the network between first group system and the third group system Network flow between flow and second group system and the third group system.
Optionally, the statistic unit 402, such as can be specifically used for:
First data volume is identified from the task scheduling daily record;
According to first data volume, the first cluster system described in the distributed file system in statistics specified time Network flow between system and second group system;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
Optionally, the statistic unit 402, such as can be specifically used for:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as Overall network flow involved in the task execution process.
Optionally, described device for example can also include:
Storage unit, for the statistical result of the network flow to be saved in data persistence system.
Optionally, described device for example can also include:
Second output unit exports warning message for meeting prerequisite in response to the statistical result.
Optionally, the identifying of the task, first cluster can be for example recorded in the task scheduling daily record The identifying of system, the mark of second group system and first data volume, wherein the mark of second group system There is correspondence with first data volume.
Technical solution through this embodiment, it is contemplated that across company-data read operation is the behaviour in task implementation procedure Make, and across company-data read operation has not been performed when task is submitted, the corresponding network flow of across company-data read operation Amount does not occur in distributed file system yet, can be that task generates task scheduling daily record when task is submitted therefore, Therefore the corresponding network flow of across company-data operation that task instruction can be recorded in task scheduling daily record is held in task Before row, the task scheduling daily record based on each task can count the network flow in distributed file system across cluster in advance Measure and export, therefore, distributed file system provide can be predicted when the services such as off-line calculation and export will execute across collection Group's required network flow of data read operation, to prompt largely across company-data reading in distributed file system in advance Operation occupies the case where a large amount of network bandwidths, is largely occupied by across company-data read operation to avoid network bandwidth, to keep away The normal operation for exempting from distributed file system is affected.
Referring to Fig. 5, a kind of structural schematic diagram of the device of monitoring traffic in network in the embodiment of the present application is shown.In this reality It applies in example, described device is configured at task and equipment, the task is submitted to submit equipment for handling in distributed file system Task is submitted.
Described device for example can specifically include:
Generation unit 501, instructs for the submission in response to task, and task scheduling daily record is generated for the task;
Transmission unit 502, for sending the task scheduling daily record to monitoring system, so that the monitoring system is based on institute Task scheduling daily record is stated, counts the network flow across cluster in the distributed file system, and export the network flow Statistical result, the network flow across cluster include the network between first group system and second group system Flow;
Wherein, the task scheduling daily record includes that the task indicates that the first group system is read from the second group system The first data volume.
Optionally, the task scheduling daily record for example can also include that the task indicates first group system from the The third that the second data volume and second group system read in three group systems is read from the third group system Data volume, the network flow across cluster further include the network between first group system and the third group system Network flow between flow and second group system and the third group system.
Optionally, the identifying of the task, first cluster can be for example recorded in the task scheduling daily record The identifying of system, the mark of second group system and first data volume, wherein the mark of second group system There is correspondence with first data volume.
Technical solution through this embodiment, it is contemplated that across company-data read operation is the behaviour in task implementation procedure Make, and across company-data read operation has not been performed when task is submitted, the corresponding network flow of across company-data read operation Amount does not occur in distributed file system yet, can be that task generates task scheduling daily record when task is submitted therefore, Therefore the corresponding network flow of across company-data operation that task instruction can be recorded in task scheduling daily record is held in task Before row, the task scheduling daily record based on each task can count the network flow in distributed file system across cluster in advance Measure and export, therefore, distributed file system provide can be predicted when the services such as off-line calculation and export will execute across collection Group's required network flow of data read operation, to prompt largely across company-data reading in distributed file system in advance Operation occupies the case where a large amount of network bandwidths, is largely occupied by across company-data read operation to avoid network bandwidth, to keep away The normal operation for exempting from distributed file system is affected.
Referring to Fig. 6, a kind of structural schematic diagram of the system of monitoring traffic in network in the embodiment of the present application is shown.In this reality It applies in example, the system of the monitoring traffic in network for example may include monitoring system 601, task submission equipment 602 and distribution File system 603;The task that the task submits equipment 602 to be used to handle in distributed file system 603 is submitted;The distribution Formula file system 603 includes at least the first group system 604 and the second group system 605;
The task submits equipment 602, is instructed for the submission in response to task, and task scheduling day is generated for the task Will;Wherein, the task scheduling daily record includes that the task indicates that the first group system 604 is read from the second group system 605 The first data volume taken;
The monitoring system 601 submits equipment 602 to be generated for the task when task is submitted for obtaining the task Task scheduling daily record, be based on the task scheduling daily record, count the network flow across cluster in the distributed file system 603 Amount, exports the statistical result of the network flow;Wherein, the network flow across cluster includes first group system Network flow between 604 and second group system 605.
Optionally, the distributed file system further includes third group system 606;
The task scheduling daily record further includes that the task indicates first group system 604 from third group system The third number that the second data volume and second group system 605 read in 606 is read from the third group system 606 According to amount, the network flow across cluster further includes between first group system 604 and the third group system 606 Network flow between network flow and second group system 605 and the third group system 606.
Optionally, in order to count the network flow in the distributed file system 603 across cluster, the monitoring system 601 are specifically used for:
First data volume is identified from the task scheduling daily record;
According to first data volume, first collection described in the distributed file system 603 in statistics specified time Network flow between group's system 604 and second group system 605;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
Optionally, in order to count the network flow in the distributed file system 603 across cluster, the monitoring system 601 are specifically used for:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as Overall network flow involved in the task execution process.
Optionally, the monitoring system 601 is additionally operable to:
The statistical result of the network flow is saved in data persistence system 607.
Optionally, the monitoring system 601 is additionally operable to:
Meet prerequisite in response to the statistical result, exports warning message.
Optionally, record has the identifying of the task, first group system 604 in the task scheduling daily record Mark, the mark of second group system 605 and first data volume, wherein the mark of second group system 605 There is correspondence with first data volume.
Technical solution through this embodiment, it is contemplated that across company-data read operation is the behaviour in task implementation procedure Make, and across company-data read operation has not been performed when task is submitted, the corresponding network flow of across company-data read operation Amount does not occur in distributed file system yet, can be that task generates task scheduling daily record when task is submitted therefore, Therefore the corresponding network flow of across company-data operation that task instruction can be recorded in task scheduling daily record is held in task Before row, the task scheduling daily record based on each task can count the network flow in distributed file system across cluster in advance Measure and export, therefore, distributed file system provide can be predicted when the services such as off-line calculation and export will execute across collection Group's required network flow of data read operation, to prompt largely across company-data reading in distributed file system in advance Operation occupies the case where a large amount of network bandwidths, is largely occupied by across company-data read operation to avoid network bandwidth, to keep away The normal operation for exempting from distributed file system is affected.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.The terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that the process, method, article or equipment including a series of elements includes not only those elements, and And further include other elements that are not explicitly listed, or further include for this process, method, article or equipment institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including institute State in the process, method, article or equipment of element that there is also other identical elements.
For device embodiments, since it corresponds essentially to embodiment of the method, so related place is referring to method reality Apply the part explanation of example.Apparatus embodiments described above are merely indicative, wherein described be used as separating component The unit of explanation may or may not be physically separated, and the component shown as unit can be or can also It is not physical unit, you can be located at a place, or may be distributed over multiple network units.It can be according to actual It needs that some or all of module therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not In the case of making the creative labor, you can to understand and implement.
The above is only the specific implementation mode of the application, it is noted that for the ordinary skill people of the art For member, under the premise of not departing from the application principle, several improvements and modifications can also be made, these improvements and modifications are also answered It is considered as the protection domain of the application.

Claims (19)

1. a kind of method of monitoring traffic in network, which is characterized in that it is applied to monitoring system, including:
Acquisition task submits the task scheduling daily record that equipment is generated when task is submitted for the task, the task to submit equipment It is submitted for handling the task in distributed file system, the task scheduling daily record includes that the task indicates the first cluster system The first data volume that system is read from the second group system;
Based on the task scheduling daily record, the network flow across cluster in the distributed file system is counted, it is described across cluster Network flow include network flow between first group system and second group system;
Export the statistical result of the network flow.
2. according to the method described in claim 1, it is characterized in that, the task scheduling daily record further includes task instruction institute The second data volume that the first group system is read from third group system and second group system are stated from the third collection The third data volume read in group's system, the network flow across cluster further includes first group system and the third The network flow between network flow and second group system and the third group system between group system.
3. according to the method described in claim 1, it is characterized in that, described be based on the task scheduling daily record, described point of statistics Across the network flow of cluster in cloth file system, including:
First data volume is identified from the task scheduling daily record;
According to first data volume, in statistics specified time the first group system described in the distributed file system with Network flow between second group system;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
4. according to the method described in claim 1, it is characterized in that, described be based on the task scheduling daily record, described point of statistics Across the network flow of cluster in cloth file system, specially:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as described Overall network flow involved in task execution process.
5. according to the method described in claim 1, it is characterized in that, further including:
The statistical result of the network flow is saved in data persistence system.
6. according to the method described in claim 1, it is characterized in that, further including:
Meet prerequisite in response to the statistical result, exports warning message.
7. according to the method described in claim 1, it is characterized in that, record has the task in the task scheduling daily record Mark, the identifying of first group system, the mark of second group system and first data volume, wherein described The mark of second group system has correspondence with first data volume.
8. a kind of method of monitoring traffic in network, which is characterized in that be applied to task and submit equipment, the task that equipment is submitted to use It is submitted in handling the task in distributed file system;
The method includes:
In response to the submission instruction of task, task scheduling daily record is generated for the task;
The task scheduling daily record is sent to monitoring system, so that the monitoring system is based on the task scheduling daily record, statistics Across the network flow of cluster in the distributed file system, and export the statistical result of the network flow;
Wherein, the task scheduling daily record include that the task indicates that the first group system reads from the second group system the One data volume, the network flow across cluster include the network between first group system and second group system Flow.
9. according to the method described in claim 8, it is characterized in that, the task scheduling daily record further includes task instruction institute The second data volume that the first group system is read from third group system and second group system are stated from the third collection The third data volume read in group's system, the network flow across cluster further includes first group system and the third The network flow between network flow and second group system and the third group system between group system.
10. according to the method described in claim 8, it is characterized in that, record has the task in the task scheduling daily record Identify, the identifying of first group system, the mark of second group system and first data volume, wherein institute The mark and first data volume for stating the second group system have correspondence.
11. a kind of device of monitoring traffic in network, which is characterized in that it is configured at monitoring system, including:
Acquiring unit, the task scheduling daily record for submitting equipment to be generated for the task when task is submitted for obtaining task, institute It states the task that task submits equipment to be used to handle in distributed file system to submit, the task scheduling daily record includes the task Indicate the first data volume that the first group system is read from the second group system;
Statistic unit counts the network flow across cluster in the distributed file system for being based on the task scheduling daily record Amount, the network flow across cluster includes the network flow between first group system and second group system;
First output unit, the statistical result for exporting the network flow.
12. a kind of device of monitoring traffic in network, which is characterized in that the task that is configured at submits equipment, the task to submit equipment It is submitted for handling the task in distributed file system;
Described device includes:
Generation unit, instructs for the submission in response to task, and task scheduling daily record is generated for the task;
Transmission unit, for sending the task scheduling daily record to monitoring system, so that the monitoring system is based on the task Plan daily record, counts the network flow across cluster in the distributed file system, and export the statistics knot of the network flow Fruit;
Wherein, the task scheduling daily record include that the task indicates that the first group system reads from the second group system the One data volume, the network flow across cluster include the network between first group system and second group system Flow.
13. a kind of system of monitoring traffic in network, which is characterized in that including:Monitoring system, task submit equipment and distribution text Part system;The task that the task submits equipment to be used to handle in distributed file system is submitted;The distributed file system Including at least the first group system and the second group system;
The task submits equipment, is instructed for the submission in response to task, and task scheduling daily record is generated for the task;Its In, the task scheduling daily record includes that the task indicates the first data that the first group system is read from the second group system Amount;
The monitoring system, the task scheduling for submitting equipment to be generated for the task when task is submitted for obtaining the task Daily record is based on the task scheduling daily record, counts the network flow across cluster in the distributed file system, export the net The statistical result of network flow;Wherein, the network flow across cluster includes first group system and second cluster Network flow between system.
14. system according to claim 13, which is characterized in that the distributed file system further includes third cluster system System;
The task scheduling daily record further includes that the task indicates that first group system is read from third group system The third data volume that second data volume and second group system are read from the third group system, it is described across cluster Network flow further includes the network flow and second collection between first group system and the third group system Network flow between group's system and the third group system.
15. system according to claim 13, which is characterized in that in order to count in the distributed file system across cluster Network flow, the monitoring system is specifically used for:
First data volume is identified from the task scheduling daily record;
According to first data volume, in statistics specified time the first group system described in the distributed file system with Network flow between second group system;
Wherein, the acquisition time of the task scheduling daily record belonged in the specified time.
16. system according to claim 13, which is characterized in that in order to count in the distributed file system across cluster Network flow, the monitoring system is specifically used for:
Based on the task scheduling daily record, the total amount of data of the task instruction read across group system is counted, as described Overall network flow involved in task execution process.
17. system according to claim 13, which is characterized in that the monitoring system is additionally operable to:
The statistical result of the network flow is saved in data persistence system.
18. system according to claim 13, which is characterized in that the monitoring system is additionally operable to:
Meet prerequisite in response to the statistical result, exports warning message.
19. system according to claim 13, which is characterized in that record has the task in the task scheduling daily record Identify, the identifying of first group system, the mark of second group system and first data volume, wherein institute The mark and first data volume for stating the second group system have correspondence.
CN201710007945.XA 2017-01-05 2017-01-05 Method and device for monitoring network flow Active CN108282378B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710007945.XA CN108282378B (en) 2017-01-05 2017-01-05 Method and device for monitoring network flow

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710007945.XA CN108282378B (en) 2017-01-05 2017-01-05 Method and device for monitoring network flow

Publications (2)

Publication Number Publication Date
CN108282378A true CN108282378A (en) 2018-07-13
CN108282378B CN108282378B (en) 2021-11-09

Family

ID=62800623

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710007945.XA Active CN108282378B (en) 2017-01-05 2017-01-05 Method and device for monitoring network flow

Country Status (1)

Country Link
CN (1) CN108282378B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102014137A (en) * 2010-12-13 2011-04-13 哈尔滨工业大学 Common distributed data recording device and method based on HLA (high level architecture)
CN102855299A (en) * 2012-08-16 2013-01-02 上海引跑信息科技有限公司 Method for realizing iterative migration of distributed database without interrupting service
CN103327048A (en) * 2012-03-22 2013-09-25 阿里巴巴集团控股有限公司 Online-application data matching method and device
CN103389946A (en) * 2013-07-16 2013-11-13 中国科学院计算技术研究所 Fragmentization removal method and system
CN103455633A (en) * 2013-09-24 2013-12-18 浪潮齐鲁软件产业有限公司 Method of distributed analysis for massive network detailed invoice data
CN103678520A (en) * 2013-11-29 2014-03-26 中国科学院计算技术研究所 Multi-dimensional interval query method and system based on cloud computing
CN106034160A (en) * 2015-03-19 2016-10-19 阿里巴巴集团控股有限公司 Distributed computing system and method
US20160330281A1 (en) * 2015-05-07 2016-11-10 Dell Products L.P. Systems and methods to improve read/write performance in object storage applications

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102014137A (en) * 2010-12-13 2011-04-13 哈尔滨工业大学 Common distributed data recording device and method based on HLA (high level architecture)
CN103327048A (en) * 2012-03-22 2013-09-25 阿里巴巴集团控股有限公司 Online-application data matching method and device
CN102855299A (en) * 2012-08-16 2013-01-02 上海引跑信息科技有限公司 Method for realizing iterative migration of distributed database without interrupting service
CN103389946A (en) * 2013-07-16 2013-11-13 中国科学院计算技术研究所 Fragmentization removal method and system
CN103455633A (en) * 2013-09-24 2013-12-18 浪潮齐鲁软件产业有限公司 Method of distributed analysis for massive network detailed invoice data
CN103678520A (en) * 2013-11-29 2014-03-26 中国科学院计算技术研究所 Multi-dimensional interval query method and system based on cloud computing
CN106034160A (en) * 2015-03-19 2016-10-19 阿里巴巴集团控股有限公司 Distributed computing system and method
US20160330281A1 (en) * 2015-05-07 2016-11-10 Dell Products L.P. Systems and methods to improve read/write performance in object storage applications

Also Published As

Publication number Publication date
CN108282378B (en) 2021-11-09

Similar Documents

Publication Publication Date Title
CN104462121B (en) Data processing method, apparatus and system
CN105488610B (en) Fault real-time analysis and diagnosis method for power application system
EP2895956B1 (en) Method and system for monitoring execution of user request in distributed system
CN109471845A (en) Blog management method, server and computer readable storage medium
CN109284251A (en) Blog management method, device, computer equipment and storage medium
CN103401698B (en) For the monitoring system that server health is reported to the police in server set group operatione
CN108989136A (en) Business end to end performance monitoring method and device
CN105302697B (en) A kind of running state monitoring method and system of density data model database
CN109039819A (en) Delay statistics method, apparatus, system and storage medium
CN103067218A (en) High speed network data package content analysis device
CN113505044B (en) Database warning method, device, equipment and storage medium
CN109117341A (en) A kind of monitoring method of virtual machine, device, equipment and medium
CN106992886A (en) A kind of log analysis method and device based on distributed storage
CN106254137A (en) The alarm root-cause analysis system and method for supervisory systems
CN103870549B (en) The method for cleaning and device of petroleum geology software data
CN106034047B (en) Data processing method and device
CN106789158A (en) Damage identification method and system are insured in a kind of cloud service
CN108234189B (en) Alarm data processing method and device
CN109819019A (en) Monitoring and statistical analysis technique and system for the acquisition of large scale network data
CN109818808A (en) Method for diagnosing faults, device and electronic equipment
US10289520B2 (en) Adaptive application performance analysis
CN104038388B (en) Based on distributed Internet of Things Auto-Test System and method of testing
CN108108289A (en) A kind of cluster resource statistical method, system, device and readable storage system
CN108494635A (en) A kind of network flow detection system based on cloud computing
CN102055620A (en) Method and system for monitoring user experience

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