CN107707903A - The determination method and device of user video communication quality - Google Patents
The determination method and device of user video communication quality Download PDFInfo
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- CN107707903A CN107707903A CN201710723340.0A CN201710723340A CN107707903A CN 107707903 A CN107707903 A CN 107707903A CN 201710723340 A CN201710723340 A CN 201710723340A CN 107707903 A CN107707903 A CN 107707903A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
Abstract
The invention discloses a kind of determination method and device of user video communication quality, this method includes：During video consultation, the user network quality information of doctor and patient are gathered, wherein, user network quality information includes：Medical numbered list, user's mark；Inquiry operation is performed to medical numbered list using spark operational tools, the medical numbering in medical numbered list is divided into multigroup；For every group of medical numbering, each medical numbering in the group is traveled through respectively, is obtained each user corresponding to numbering that goes to a doctor and is identified to form user's identification list；Traverse user identification list obtains each user's caused medical packet loss daily record data during video consultation, and counts packet loss data of the user in each stage according to medical packet loss daily record data；According to packet loss data of the user of statistics in each stage, user video communication quality during video consultation is determined.Using the program, the medical efficiency of video can be improved, saves the quality time of doctor and patient.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of determination method and device of user video communication quality.
Background technology
For current internet hospital in video treatment process caused multitude of video go to a doctor network quality daily record
Data, these data can effectively analyze this it is medical in user network and up-downgoing packet loss, while by detailed point
Analysis and the data accumulation of magnanimity, and can be analyzed with this and obtain the network quality packet loss number based on longitude and latitude of a magnanimity
According to storehouse, network quality in current longitude and latitude region can be just predicted in advance from these data so that follow-up Internet video is just
Related medical network can be predicted and carry out in advance by examining is handled accordingly.
Packet loss daily record data caused by internet hospital video at present, has reached million grades, and these data pass through web
End (such as PHP) is handled immediately, efficiency it is at a fairly low descend, and with the lifting of internet hospital business amount, video is just
The daily record data examined is in explosive growth, therefore proposes that quick data operation scheme is necessary.
It is contemplated that in the near future, when the medical packet loss daily record data of the video of internet hospital reaches ten million, hundreds of millions
During rank, how the network quality in pair warp and weft degree radiation areas is predicted in advance, and is carried out according to the network quality of precognition
Corresponding video is gone to a doctor prediction scheme, and then improves the medical efficiency of video, saves the quality time of doctor and patient, be it is current urgently
Solve the problems, such as.
The content of the invention
It is a primary object of the present invention to disclose a kind of determination method and device of user video communication quality, with least
Solve in correlation technique when the medical packet loss daily record data of video of internet hospital reaches ten million, hundreds of millions ranks, it is how right
Network quality in longitude and latitude radiation areas is predicted in advance, and is carried out corresponding video according to the network quality of precognition and gone to a doctor
The problem of quality time of prediction scheme, and then the medical efficiency of raising video, saving doctor and patient.
A kind of according to an aspect of the invention, there is provided determination method of user video communication quality.
Included according to the determination method of the user video communication quality of the present invention：During video consultation, doctor is gathered
With the user network quality information of patient, wherein, the user network quality information includes：Medical numbered list, user's mark；
Inquiry operation is performed to the medical numbered list using spark operational tools, by the medical volume in the medical numbered list
Number it is divided into multigroup；For every group of medical numbering, each medical numbering in the group is traveled through respectively, and it is corresponding to obtain each medical numbering
User identify to form user's identification list；The each user of user's identification list acquisition is traveled through to produce during video consultation
Raw medical packet loss daily record data, and packet loss data of the user in each stage are counted according to the medical packet loss daily record data；
According to packet loss data of the user of statistics in each stage, user video communication quality during video consultation is determined.
According to another aspect of the present invention, there is provided a kind of determining device of user video communication quality.
Included according to the determining device of the user video communication quality of the present invention：Acquisition module, in video consultation mistake
Cheng Zhong, the user network quality information of doctor and patient are gathered, wherein, the user network quality information includes：Medical numbering
List, user's mark；Grouping module, will for performing inquiry operation to the medical numbered list using spark operational tools
Medical numbering in the medical numbered list is divided into multigroup；First spider module, for for every group of medical numbering, difference
Each medical numbering in the group is traveled through, each user corresponding to numbering that goes to a doctor is obtained and identifies to form user's identification list；Second time
Module is gone through, each user's caused medical packet loss daily record during video consultation is obtained for traveling through user's identification list
Data, and packet loss data of the user in each stage are counted according to the medical packet loss daily record data；Determining module, for basis
The user of statistics determines user video communication quality during video consultation in the packet loss data in each stage.
Compared with prior art, the embodiment of the present invention at least has advantages below：Spark operational tools can be held with multithreading
Row task, when performing Spark tasks, Spark Task Scheduling Mechanism can be automatically by the medical numbering in medical numbered list
It is divided into multigroup, and is assigned in multiple tasks thread and is calculated, unify result returning to collect statistics again after calculating,
And then user video communication quality during video consultation is determined, in internet, the medical packet loss daily record data of the video of hospital reaches
During to ten million, hundreds of millions rank, network quality that can be in pair warp and weft degree radiation areas is predicted in advance, and according to the net of precognition
Network quality carries out the medical prediction scheme of corresponding video, and then improves the medical efficiency of video, saves the quality time of doctor and patient.
Brief description of the drawings
Fig. 1 is the flow chart of the determination method of user video communication quality according to embodiments of the present invention；
Fig. 2 is the screenshot capture of the Spark according to embodiments of the present invention tasks carrying monitoring page；
Fig. 3 is the screenshot capture of video packet loss statistical result table data store according to the preferred embodiment of the invention；
Fig. 4 is the screenshot capture of the medical user's up-downgoing packet loss statistics of video according to the preferred embodiment of the invention；
Fig. 5 is the flow chart of the determination method of user video communication quality according to the preferred embodiment of the invention；
Fig. 6 is the structured flowchart of the determining device of user video communication quality according to embodiments of the present invention；
Fig. 7 is the structured flowchart of the determining device of user video communication quality according to the preferred embodiment of the invention.
Embodiment
The specific implementation of the present invention is made a detailed description with reference to Figure of description.
Fig. 1 is the flow chart of the determination method of user video communication quality according to embodiments of the present invention.As shown in figure 1,
The determination method of the user video communication quality includes：
Step S101：During video consultation, the user network quality information of doctor and patient are gathered, wherein, it is above-mentioned
User network quality information includes：Medical numbered list, user's mark；
Step S103：Inquiry operation is performed to above-mentioned medical numbered list using spark operational tools, by above-mentioned medical volume
Medical numbering in number list is divided into multigroup；
Step S105：For every group of medical numbering, each medical numbering in the group is traveled through respectively, obtains each medical numbering
Corresponding user identifies to form user's identification list；
Step S107：The each user of above-mentioned user's identification list acquisition caused go to a doctor during video consultation is traveled through to lose
Bag daily record data, and packet loss data of the user in each stage are counted according to above-mentioned medical packet loss daily record data；
Step S109：According to the user of statistics in the packet loss data in each stage, user video during video consultation is determined
Communication quality.
Spark operational tools can perform task, when performing Spark tasks, Spark Task Scheduling Mechanism with multithreading
Automatically the medical numbering in medical numbered list can be divided into multigroup, and is assigned in multiple tasks thread and is calculated, count
Unify result returning to collect statistics again after calculation, and then determine user video communication quality during video consultation, mutual
The video of networking hospital goes to a doctor packet loss daily record data when reaching ten million, hundreds of millions rank, can be in pair warp and weft degree radiation areas
Network quality is predicted in advance, and carries out the medical prediction scheme of corresponding video according to the network quality of precognition, and then improves video
Medical efficiency, save quality time of doctor and patient.
As shown in Fig. 2 the tasks carrying situation monitoring page that this figure is Spark, Spark operational tools are by one of submission
The completed part of task program has been cut into 792 sub- task phases to perform, and unfinished task still can be after
It is continuous to be cut into subtask to perform.For example, there is a pending task, task total amount is 10, spark operational tools first by 1/
10 give first sub-line journey, then split 1/10 to second sub-line journey, if the configuration of this machine can only perform 2 sons and appoint
Business, then first sub-line journey, which completes, to be continued to get 1/10 subtask, so circulation, and all segmentation is completed and tied until task
Beam.
Preferably, inquiry operation is performed to above-mentioned medical numbered list using spark operational tools, by above-mentioned medical numbering
Medical numbering in list be divided into it is multigroup after, following processing can also be included：It is being configured without that user memory can be borrowed
In the case of, when spark computing low memories, the medical numbering after packet is cached into server disk；In configuration energy
Enough borrow user memory in the case of, in the case of spark computings internal memory and user memory sum deficiency, by after packet just
Numbering caching is examined into server disk.
Preferably, the user is counted after the packet loss data in each stage according to above-mentioned medical packet loss daily record data, may be used also
With including following processing：In the case where being configured without that user memory can be borrowed, when spark computing low memories, will use
Family each stage packet loss data buffer storage into server disk；In the case where configuration can borrow user memory, work as spark
In the case of computing internal memory and user memory sum deficiency, by user each stage packet loss data buffer storage to server disk
In.
Management and utilization of the Spark operational tools to internal memory, in program process, Spark operational tools can be preferential
Using the physical memory of machine, when physical memory deficiency, partial data can be cached to disk by Spark operational tools automatically,
And then statistics task is continued executing with, this is also to be used in correlation technique not available for PHP modes, using above-mentioned internal memory processing side
Formula, can effectively solve the problems, such as that internal memory is not deposited, improve operation efficiency.
During being preferable to carry out, above-mentioned physical memory is broadly divided into：Reserved (reserved) internal memory, user (user) are interior
Deposit with spark internal memories, wherein, reserved (reserved) internal memory is in spark is retained and needed when being run for system function etc.
Deposit, can not be used for doing computing internal memory；Spark internal memories are spark by weighing machine with postponing, and are drawn available for spark
The memory headroom of data operation；User internal memories are the free memory spaces after spark computings internal memory and reserved Memory Allocation,
Can taking human as configuration do spark computings, may also be used for doing other processing, that is, institute's user internal memories are freely to prop up
The internal memory matched somebody with somebody.
Preferably, above-mentioned user network quality information can also include：User's geographical location information, then above-mentioned determination video
User video communication quality includes during the consultation of doctors：It is corresponding according to packet loss data of each user in each stage, and the user
User's geographical location information, analytic statistics obtains the user video communication quality in each geographic area；According to each geography
User video communication quality in region generates the first chart, wherein, in above-mentioned first chart, to user video communication quality
Rank be marked；It is less than the geographic area of intended level in the rank of user video communication quality, carries out network quality survey
Try and formulate emergency preplan.
During being preferable to carry out, the packet loss data based on the user of statistics in each stage, jQuery plug-in units can be used,
It is that main body carries out data retrieval according to longitude and latitude, then quickly generates chart；For example, the medical network quality of video is poorer in chart
Local color it is deeper, network quality rank get married and start a new life to difference order is：It is blue, grass green, yellow, orange, red.According in figure
Color depth just can quickly see the network qualities of internet hospital each department in video treatment process, for color
Depth should carry out the test of network quality and corresponding emergency preplan in advance according to actual conditions, be won for patient higher than yellow
Obtain valuable treatment time.
Preferably, after packet loss data of the user in each stage are counted according to above-mentioned medical packet loss daily record data, also
It can include：According to packet loss data of each user in each stage, and user's geographical location information corresponding to the user, analysis
Statistics obtains the medical amount in each geographic area；Second chart is generated according to the medical amount in each geographic area, wherein,
In above-mentioned second chart, to medical amount number be marked；Video consultation business is determined using above-mentioned second graphic analyses
Distribution trend.
During being preferable to carry out, the packet loss data based on the user of statistics in each stage, according to longitude and latitude count with
Longitude and latitude is the medical amount in region, is then introduced into jQuery figure plug-in unit, you can quickly obtains internet hospital in the whole nation
The videos of various regions is gone to a doctor distribution map, can quickly analyze the distribution trend of business, and brighter place shows to go to a doctor in chart
Amount is more.
Preferably for every group of medical numbering, each medical numbering in the group is traveled through respectively, obtains each medical numbering pair
The user answered identifies to form user's identification list, travels through above-mentioned user's identification list and obtains each user during video consultation
Caused medical packet loss daily record data, and packet loss data of the user in each stage are counted according to above-mentioned medical packet loss daily record data
Including：Server cluster system is built using multiple servers, wherein, each above-mentioned server is configured to execution one or more
Individual thread；For each above-mentioned thread, each medical numbering in one group after the packet of thread traverses spark operational tools,
User corresponding to obtaining each medical numbering identifies to form user's identification list, travels through user's identification list and obtains each user
The caused medical packet loss daily record data during video consultation, and the user is counted according to above-mentioned medical packet loss daily record data and existed
The packet loss data in each stage, the operation of each medical numbering in next group after performing traversal packet is returned afterwards.Wherein, video
Packet loss statistical result table data store is as shown in Figure 3；Video goes to a doctor user's up-downgoing packet loss statistics as shown in Figure 4.
Spark operational tools are built into cluster to complete at a large amount of and complicated computings using more common servers
Reason, and each node in cluster supports the determination scheme of above-mentioned user video communication quality.
Above-mentioned preferred embodiment is further described below in conjunction with Fig. 5.
Fig. 5 is the flow chart of the determination method of user video communication quality according to the preferred embodiment of the invention.Such as Fig. 5 institutes
Show, the determination method of the user video communication quality includes：
Step S501：During video consultation, the user network quality information of doctor and patient are gathered, wherein, it is above-mentioned
User network quality information includes：Medical numbered list, user identify (ID) and user's geographical location information.
Step S502：Inquiry operation is performed to above-mentioned medical numbered list using spark operational tools, by above-mentioned medical volume
Medical numbering in number list is divided into multigroup.
Step S503：For every group of medical numbering, inquired about.
Step S504：Judge whether medical numbered list is empty, if not, performing step S505.If it is, perform step
S507。
Step S505：The medical numbered list of traversal.
Step S506：Judge whether that traversal is completed, if it is, performing step S507, otherwise, perform step S511.
Step S507：Logging program performs timing node.
Step S508：Perform time marking file.
Step S509：Read the last execution time.
Step S510：Judge whether to be more than current time, if not, performing step S503.
Step S511：Travel through out the ID list under medical reservation number.
Step S512：Searching loop ID list.
Step S513：Judge whether that traversal is completed, step S506 is performed if it is, returning, if not, performing step 514.
Step S514：Obtain user's packet loss detailed data.
Step S515：Numerical value of the counting user in video packet loss each stage.
Step S516：Generate video packet loss statistical result table.
Step S517：In the whole calculating processes of spark, in the case where being configured without that user memory can be borrowed, when
During spark computing low memories, by data buffer storage into server disk；In the case where configuration can borrow user memory,
In the case of spark computings internal memory and user memory sum deficiency, by data buffer storage into server disk.
Step S518：The data for being stored in disk are read by Storge.
To sum up above-mentioned, during video is medical, the video terminal such as doctor and patient can gather user network quality letter
Breath, and (for example, ID) is identified together with medical numbering, user, user's geographical location information is (for example, current latitude, longitude etc.
Information) it is transmitted to back-end server and is preserved；In the statistical disposition link of Spark operational tools, first with medical numbering, user
ID, longitude, latitude are grouped through row, are then obtained successively according to grouping information and are stored server parquet format discs text
Part, facilitate subsequent operation.Packet obtains medical numbered list and travels through the ID list obtained under going to a doctor, again traverse user
ID obtains caused largely medical packet loss daily record datas, the network quality for then counting each stage again during video and lost
Bag data sum, it is stand-by to be then stored in database.
Fig. 6 is the structured flowchart of the determining device of user video communication quality according to embodiments of the present invention.Such as Fig. 6 institutes
Show, the determining device of the user video communication quality includes：Acquisition module 60, for during video consultation, gathering doctor
With the user network quality information of patient, wherein, above-mentioned user network quality information includes：Medical numbered list, user's mark；
Grouping module 62, for performing inquiry operation to above-mentioned medical numbered list using spark operational tools, by above-mentioned medical numbering
Medical numbering in list is divided into multigroup；First spider module 64, for for every group of medical numbering, traveling through respectively in the group
Each medical numbering, obtain each user corresponding to numbering that goes to a doctor and identify to form user's identification list；Second spider module 66, use
Each user's caused medical packet loss daily record data during video consultation, and root are obtained in traveling through above-mentioned user's identification list
Packet loss data of the user in each stage are counted according to above-mentioned medical packet loss daily record data；Determining module 68, for according to statistics
User determines user video communication quality during video consultation in the packet loss data in each stage.
Spark operational tools can perform task, when performing Spark tasks, Spark Task Scheduling Mechanism with multithreading
Automatically the medical numbering in medical numbered list can be divided into multigroup, and is assigned in multiple tasks thread and is calculated, count
Unify result returning to collect statistics again after calculation, and then determine user video communication quality during video consultation, mutual
The video of networking hospital goes to a doctor packet loss daily record data when reaching ten million, hundreds of millions rank, can be in pair warp and weft degree radiation areas
Network quality is predicted in advance, and carries out the medical prediction scheme of corresponding video according to the network quality of precognition, and then improves video
Medical efficiency, save quality time of doctor and patient.
Preferably, as shown in fig. 7, said apparatus also includes：First cache module 70, for being configured without borrowing
In the case of user memory, when spark computing low memories, the medical numbering after packet is cached into server disk；
Second cache module 72, for it can borrow user memory in configuration in the case of, when spark computings internal memory and user memory it
In the case of deficiency, the medical numbering after packet is cached into server disk.
Preferably, above-mentioned first cache module 70, in the case where being configured without that user memory can be borrowed, when
During spark computing low memories, by user each stage packet loss data buffer storage into server disk；Above-mentioned second caching mould
Block 72, for it can borrow user memory in configuration in the case of, when spark computings internal memory and the feelings of user memory sum deficiency
Under condition, by user each stage packet loss data buffer storage into server disk.
Preferably, above-mentioned user network quality information also includes：User's geographical location information, above-mentioned determining module 68 are wrapped
Include：Statistic unit 680, for according to packet loss data of each user in each stage, and user's geography position corresponding to the user
Confidence ceases, and analytic statistics obtains the user video communication quality in each geographic area；First chart generation unit 682, with system
Meter unit 680 is connected, for generating the first chart according to the user video communication quality in each geographic area, wherein,
In above-mentioned first chart, the rank of user video communication quality is marked；Prediction scheme designating unit 684, given birth to the first chart
It is connected into unit 682, for being less than the geographic area of intended level in the rank of user video communication quality, carries out network matter
Measure and try and formulate emergency preplan；Acquiring unit 686, for according to packet loss data of each user in each stage, and the use
User's geographical location information corresponding to family, analytic statistics obtain the medical amount in each geographic area；Second chart generation unit
688, it is connected with acquiring unit 686, for generating the second chart according to the medical amount in each geographic area, wherein, upper
State in the second chart, to medical amount number be marked；Determining unit 690, it is connected with the second chart generation unit 688,
For determining the distribution trend of video consultation business using above-mentioned second graphic analyses.
In summary, by above-mentioned embodiment provided by the invention, using Spark operational tools, can perform multi-thread
Journey, large-scale cluster computing, the list that packet loss data of the user in each stage are saved as towards analytic type business will be counted deposit
Form is stored up, to keep splendid reading performance.When the medical packet loss daily record data of the video of internet hospital reaches ten million, hundreds of millions
During rank, it is only necessary to geographical location information (for example, latitude and longitude value) is inputted, just can be efficiently in the longitude and latitude institute radiation areas
Network quality predicted in advance, and according to the network quality of precognition carry out corresponding video go to a doctor prediction scheme, and then improve regard
The medical efficiency of frequency, save the quality time of doctor and patient.
Disclosed above is only several specific embodiments of the present invention, and still, the present invention is not limited to this, any ability
What the technical staff in domain can think change should all fall into protection scope of the present invention.
Claims (10)
- A kind of 1. determination method of user video communication quality, it is characterised in that including：During video consultation, the user network quality information of doctor and patient are gathered, wherein, the user network quality letter Breath includes：Medical numbered list, user's mark；Inquiry operation is performed to the medical numbered list using spark operational tools, by the medical numbered list just Examine numbering be divided into it is multigroup；For every group of medical numbering, each medical numbering in the group is traveled through respectively, obtains user's mark corresponding to each medical numbering Knowledge forms user's identification list；Travel through user's identification list and obtain each user's caused medical packet loss daily record data during video consultation, and Packet loss data of the user in each stage are counted according to the medical packet loss daily record data；According to packet loss data of the user of statistics in each stage, user video communication quality during video consultation is determined.
- 2. according to the method for claim 1, it is characterised in that using spark operational tools to the medical numbered list Perform inquiry operation, by the medical numbering in the medical numbered list be divided into it is multigroup after, in addition to：In the case where being configured without that user memory can be borrowed, when spark computing low memories, by the medical volume after packet Number caching into server disk；In the case where configuration can borrow user memory, in the case of spark computings internal memory and user memory sum deficiency, Medical numbering after packet is cached into server disk.
- 3. according to the method for claim 1, it is characterised in that the user is counted according to the medical packet loss daily record data and existed After the packet loss data in each stage, in addition to：In the case where being configured without that user memory can be borrowed, when spark computing low memories, by user in each stage Packet loss data buffer storage is into server disk；In the case where configuration can borrow user memory, in the case of spark computings internal memory and user memory sum deficiency, By user each stage packet loss data buffer storage into server disk.
- 4. according to the method for claim 1, it is characterised in that the user network quality information also includes：User is geographical Positional information, then user video communication quality includes during the determination video consultation：According to packet loss data of each user in each stage, and user's geographical location information corresponding to the user, analytic statistics Obtain the user video communication quality in each geographic area；First chart is generated according to the user video communication quality in each geographic area, wherein, it is right in first chart The rank of user video communication quality is marked；It is less than the geographic area of intended level in the rank of user video communication quality, carries out network quality test and formulate emergent Prediction scheme.
- 5. according to the method for claim 4, it is characterised in that the user is being counted according to the medical packet loss daily record data After the packet loss data in each stage, in addition to：According to packet loss data of each user in each stage, and user's geographical location information corresponding to the user, analytic statistics Obtain the medical amount in each geographic area；Second chart is generated according to the medical amount in each geographic area, wherein, in second chart, to the more of medical amount It is marked less；The distribution trend of video consultation business is determined using second graphic analyses.
- 6. method according to any one of claim 1 to 5, it is characterised in that for every group of medical numbering, travel through respectively Each medical numbering in the group, obtain each user corresponding to numbering that goes to a doctor and identify to form user's identification list, travel through the use Family identification list obtains each user's caused medical packet loss daily record data during video consultation, and is lost according to described go to a doctor Bag daily record data, which counts packet loss data of the user in each stage, to be included：Server cluster system is built using multiple servers, wherein, each server is configured to execution one or more Individual thread；For thread each described, each medical numbering in one group after the packet of thread traverses spark operational tools, obtain User corresponding to each medical numbering identifies to form user's identification list, travel through user's identification list obtain each user regarding Caused medical packet loss daily record data during frequency is held a consultation, and the user is counted in each rank according to the medical packet loss daily record data The packet loss data of section, the operation of each medical numbering in next group after performing traversal packet is returned afterwards.
- A kind of 7. determining device of user video communication quality, it is characterised in that including：Acquisition module, for during video consultation, gathering the user network quality information of doctor and patient, wherein, it is described User network quality information includes：Medical numbered list, user's mark；Grouping module, for performing inquiry operation to the medical numbered list using spark operational tools, by the medical volume Medical numbering in number list is divided into multigroup；First spider module, for for every group of medical numbering, traveling through each medical numbering in the group respectively, obtaining each medical User corresponding to numbering identifies to form user's identification list；Second spider module, for travel through user's identification list obtain each user during video consultation caused by just Packet loss daily record data is examined, and packet loss data of the user in each stage are counted according to the medical packet loss daily record data；Determining module, for the user according to statistics in the packet loss data in each stage, determine user video during video consultation Communication quality.
- 8. device according to claim 7, it is characterised in that also include：First cache module, in the case where being configured without that user memory can be borrowed, when spark computing low memories When, the medical numbering after packet is cached into server disk；Second cache module, for it can borrow user memory in configuration in the case of, when spark computings internal memory and user memory In the case of sum deficiency, the medical numbering after packet is cached into server disk.
- 9. device according to claim 8, it is characterised in thatFirst cache module, in the case where being configured without that user memory can be borrowed, when spark computings internal memory not When sufficient, by user each stage packet loss data buffer storage into server disk；Second cache module, for it can borrow user memory in configuration in the case of, as spark computings internal memory and user In the case of internal memory sum deficiency, by user each stage packet loss data buffer storage into server disk.
- 10. the device according to any one of claim 7 to 9, it is characterised in that the user network quality information also wraps Include：User's geographical location information, the determining module include：Statistic unit, for according to packet loss data of each user in each stage, and user geographical position corresponding to the user Information, analytic statistics obtain the user video communication quality in each geographic area；First chart generation unit, for generating the first chart according to the user video communication quality in each geographic area, its In, in first chart, the rank of user video communication quality is marked；Prediction scheme designating unit, for being less than the geographic area of intended level in the rank of user video communication quality, carry out network Quality test simultaneously formulates emergency preplan；Acquiring unit, for according to packet loss data of each user in each stage, and user geographical position corresponding to the user Information, analytic statistics obtain the medical amount in each geographic area；Second chart generation unit, for generating the second chart according to the medical amount in each geographic area, wherein, described the In two charts, to medical amount number be marked；Determining unit, for determining the distribution trend of video consultation business using second graphic analyses.
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