CN104168299A - Resource processing system and resource processing method - Google Patents
Resource processing system and resource processing method Download PDFInfo
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- CN104168299A CN104168299A CN201310182107.8A CN201310182107A CN104168299A CN 104168299 A CN104168299 A CN 104168299A CN 201310182107 A CN201310182107 A CN 201310182107A CN 104168299 A CN104168299 A CN 104168299A
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Abstract
The invention provides a resource processing system. The system comprises: a download request distribution control module, which is used for obtaining relations between all resources and all resource servers in a resource server cluster and recording the relations; a hot spot resource monitoring module, which is used for monitoring and carrying out statistics on downloading situations of all resources, determining hot spot resources according to a preset hot spot resource standard, and requesting hot spot resource buffering; a data monitoring module, which is used for receiving the request of the hot spot resource buffering and buffering the hot spot resource; a load monitoring module, which is used for obtaining load information of all resource servers when hot spot resource buffering is completed, and a hot copying module, which is used for searching a low-load resource server that does not store the hot spot resource according to the load information and the relations between all resources and all resource servers in the resource server cluster, and sending the buffered hot spot resources to the low-load resource server. Correspondingly, the invention also provides a resource processing method. According to the technical scheme, load rates of all resource servers in the resource server cluster are approximately identical.
Description
Technical field
The present invention relates to Internet technical field, in particular to a kind of resource processing system and a kind of method for processing resource.
Background technology
Along with Internet user's increase, the disposal ability of separate unit Resource Server cannot meet has processed the even more user's download request of hundreds of thousands within a second.By load-balancing method, can be by a Resource Server cluster of many Taiwan investments source server composition, provide download request in the mode of cluster as user.
By the mode of cluster, can make to dispose in two ways.Mode one: the downloaded resources that in cluster, every station server is stored is identical, server cluster provides download request service by load balancing to user, in the time that user asks download service, select Resource Server that Download Server is provided according to the load state of every service in server cluster.Which can be wasted server stores space, increases cost of serving.Mode two: every station server does not go the promising user of storage institute that the resource of download is provided in cluster, the resource of every station server storage area download, the resource collection of Servers-all is the whole downloaded resources that provide for user.Mode two has solved the problem of waste of storage space, but when in the process that download service provides, occurs the situation of server utilization inequality.When the some resources in a certain Taiwan investment source server are hot point resource, the request that can produce a station server is processed too much, and the state of other server free time.
At present for the processing scheme of this problem be: in the time of user's download request ebb, hot point resource is made on server cluster to multiple Resource Replicas, in next peak request period, can have multiple servers that the download service of this hot point resource is provided.Though the method has solved the load at next peak request separate unit in period server, cannot solve current peak request period, a station server load is high and waste problem that other server load is low.
Therefore, need a kind of new resource treatment technology, can make in Resource Server cluster the load factor of every station server approach identical, thus the running load efficiency of raising server cluster entirety.
Summary of the invention
The present invention, just based on the problems referred to above, has proposed a kind of new resource treatment technology, can make in Resource Server cluster the load factor of every station server approach identical, thus the running load efficiency of raising server cluster entirety.
In view of this, the present invention proposes a kind of resource processing system, comprising: download request is distributed control module, obtain relation record between each Resource Server in each resource and Resource Server cluster; Hot point resource monitoring module, monitors and adds up the download situation of each resource, according to default hot point resource standard, judges hot point resource, and sends the request of described hot point resource buffer memory; Data monitoring module, receives the request of described hot point resource buffer memory, hot point resource described in buffer memory; Load monitoring module, in the time that described hot point resource completes buffer memory, the load information of all Resource Servers in Gains resources server cluster; Hot replication module, according to the relation between each Resource Server in the described each resource recording in described load information and described download request distribution control module and Resource Server cluster, find the low load resource server of not storing described hot point resource, the hot point resource of buffer memory in described data monitoring module is sent to described low load resource server.
In this technical scheme, in the time of user's download request peak period, by hot point resource buffer memory and be copied to the low load resource server of not storing this hot point resource, like this after certain running time, can make the load factor of the every station server in Resource Server cluster approach identical, thereby the serial process data of separate unit server are reduced, so not only improve the treatment effeciency of separate unit server, also improve the running load efficiency of server cluster entirety, and then promoted user's downloading experience.
According to another aspect of the invention, also provide a kind of method for processing resource, having comprised: step 202, obtain relation record between each Resource Server in each resource and Resource Server cluster; Step 204, monitors and adds up the download situation of each resource, according to default hot point resource standard, judges hot point resource, and sends the request of described hot point resource buffer memory; Step 206, receives the request of described hot point resource buffer memory, hot point resource described in buffer memory; Step 208, in the time that described hot point resource completes buffer memory, the load information of all Resource Servers in Gains resources server cluster; Step 210, according to the relation between each Resource Server in described each resource of described load information and record and Resource Server cluster, find the low load resource server of not storing described hot point resource, the hot point resource of buffer memory in described data monitoring module is sent to described low load resource server.
In this technical scheme, in the time of user's download request peak period, by hot point resource buffer memory and be copied to the low load resource server of not storing this hot point resource, like this after certain running time, can make the load factor of the every station server in Resource Server cluster approach identical, thereby the serial process data of separate unit server are reduced, so not only improve the treatment effeciency of separate unit server, also improve the running load efficiency of server cluster entirety, and then promoted user's downloading experience.
By above technical scheme, in user's download request peak period, by the hot duplication method of hot point resource, after certain running time, can make in Resource Server cluster the load factor of every station server approach identical, improve the running load efficiency of server cluster entirety, the while provides maximum download service with minimum server count, reduce operation cost, promoted user's experience.
Brief description of the drawings
Fig. 1 shows the block diagram of resource processing system according to an embodiment of the invention;
Fig. 2 shows the flow chart of method for processing resource according to an embodiment of the invention;
Fig. 3 shows the frame diagram of resource processing system according to an embodiment of the invention;
Fig. 4 shows the Organization Chart of resource processing system according to an embodiment of the invention;
Fig. 5 shows the particular flow sheet of method for processing resource according to an embodiment of the invention.
Embodiment
In order more clearly to understand above-mentioned purpose of the present invention, feature and advantage, below in conjunction with the drawings and specific embodiments, the present invention is further described in detail.It should be noted that, in the situation that not conflicting, the feature in the application's embodiment and embodiment can combine mutually.
A lot of details are set forth in the following description so that fully understand the present invention; but; the present invention can also adopt other to be different from other modes described here and implement, and therefore, protection scope of the present invention is not subject to the restriction of following public specific embodiment.
Fig. 1 shows the block diagram of resource processing system according to an embodiment of the invention.
As shown in Figure 1, the resource processing system 100 of embodiments of the invention comprises: download request is distributed control module 102, obtains relation record between each Resource Server in each resource and Resource Server cluster; Hot point resource monitoring module 104, monitors and adds up the download situation of each resource, according to default hot point resource standard, judges hot point resource, and sends the request of described hot point resource buffer memory; Data monitoring module 106, receives the request of described hot point resource buffer memory, hot point resource described in buffer memory; Load monitoring module 108, in the time that described hot point resource completes buffer memory, the load information of all Resource Servers in Gains resources server cluster; Hot replication module 110, according to the relation between each Resource Server in described each resource of record in described load information and described download request distribution control module 102 and Resource Server cluster, find the low load resource server of not storing described hot point resource, the hot point resource of buffer memory in described data monitoring module 106 is sent to described low load resource server.
In this technical scheme, in the time of user's download request peak period, by hot point resource buffer memory and be copied to the low load resource server of not storing this hot point resource, like this after certain running time, can make the load factor of the every station server in Resource Server cluster approach identical, thereby the serial process data of separate unit server are reduced, so not only improve the treatment effeciency of separate unit server, also improve the running load efficiency of server cluster entirety, and then promoted user's downloading experience.
In technique scheme, preferably, described data monitoring module 106 also comprises: monitor submodule 1062, the download request data of monitor terminal and the return data of described Resource Server, obtain described hot point resource.
In this technical scheme, by the download request of monitoring users and the return data of Resource Server, get communication data, and by the file transfer protocol (FTP) between analyzing communication, as the agreement such as HTTP, FTP, get hot point resource, the direct like this mode by monitoring gets hot point resource, and needn't from store the Resource Server of this hot point resource, obtain, alleviate the burden of Resource Server.
In technique scheme, preferably, the listening mode of described monitoring submodule 1062 comprises Port Mirroring mode and passive light splitting mode.
In this technical scheme, can user's the download request through switch and the return data of Resource Server be copied in monitoring submodule by the mode of Port Mirroring or passive light splitting, thereby data analysis is obtained to the file of hot point resource, and by hot point resource file cache, be copied to the low load resource server of not storing this hot point resource, thereby make the load factor of the every Taiwan investment source server in Resource Server cluster approach identical.
In technique scheme, preferably, described load monitoring module 108 also comprises: load comparison sub-module 1082, according to described load information and default load factor algorithm, load factor to each Resource Server is calculated, and by relatively obtaining Resource Server that load factor is little as described low load resource server.
In this technical scheme, load information comprises the information such as CPU usage, memory usage, disk IO read-write speed, linking number, calculate by the load factor to each Resource Server, relatively draw low load resource server, thereby for low load resource server provides its hot point resource of not storing, avoid the problem of Resource Server utilance inequality.
In technique scheme, preferably, described download request distributes control module 102 also to comprise: upgrade submodule 1022, in the time that described low load resource server receives the hot point resource of described hot replication module transmission, upgrade the relation between each Resource Server in described resource and Resource Server cluster.
In this technical scheme, by hot point resource and the relation that has copied the low load resource server of this hot point resource be updated to system, like this in the time having again user to send the request of downloading this hot point resource, download request can be distributed to this low load resource server, by low load resource server, the downloading data of hot point resource is returned to user, thereby reduce the serial process data of separate unit server, increase the parallel data processing of multiple servers, make the treatment effeciency of separate unit server higher, in not increasing Resource Server cost, promote user's downloading experience.
Fig. 2 shows the flow chart of method for processing resource according to an embodiment of the invention.
As shown in Figure 2, the method for processing resource of embodiments of the invention, comprising: step 202, obtain relation record between each Resource Server in each resource and Resource Server cluster; Step 204, monitors and adds up the download situation of each resource, according to default hot point resource standard, judges hot point resource, and sends the request of described hot point resource buffer memory; Step 206, receives the request of described hot point resource buffer memory, hot point resource described in buffer memory; Step 208, in the time that described hot point resource completes buffer memory, the load information of all Resource Servers in Gains resources server cluster; Step 210, according to the relation between each Resource Server in described each resource of described load information and record and Resource Server cluster, find the low load resource server of not storing described hot point resource, the hot point resource of buffer memory in described data monitoring module is sent to described low load resource server.
In this technical scheme, in the time of user's download request peak period, by hot point resource buffer memory and be copied to the low load resource server of not storing this hot point resource, like this after certain running time, can make the load factor of the every station server in Resource Server cluster approach identical, thereby the serial process data of separate unit server are reduced, so not only improve the treatment effeciency of separate unit server, also improve the running load efficiency of server cluster entirety, and then promoted user's downloading experience.
In technique scheme, preferably, described step 206 also comprises: the download request data of monitor terminal and the return data of Resource Server, obtain described hot point resource.
In this technical scheme, by the download request of monitoring users and the return data of Resource Server, get communication data, and by the file transfer protocol (FTP) between analyzing communication, as the agreement such as HTTP, FTP, get hot point resource, the direct like this mode by monitoring gets hot point resource, and needn't from store the Resource Server of this hot point resource, obtain, alleviate the burden of Resource Server.
In technique scheme, preferably, the listening mode of the download request data of described terminal and the return data of described Resource Server comprises Port Mirroring mode and passive light splitting mode.
In this technical scheme, can user's the download request through switch and the return data of Resource Server be copied in monitoring submodule by the mode of Port Mirroring or passive light splitting, thereby data analysis is obtained to the file of hot point resource, and by hot point resource file cache, be copied to the low load resource server of not storing this hot point resource, thereby make the load factor of the every Taiwan investment source server in Resource Server cluster approach identical.
In technique scheme, preferably, described step 208 also comprises: according to described load information and default load factor algorithm, the load factor of each Resource Server calculated, and by relatively obtaining Resource Server that load factor is little as described low load resource server.
In this technical scheme, load information comprises the information such as CPU usage, memory usage, disk IO read-write speed, linking number, calculate by the load factor to each Resource Server, relatively draw low load resource server, thereby for low load resource server provides its hot point resource of not storing, avoid the problem of Resource Server utilance inequality.
In technique scheme, preferably, described step 202 also comprises: in the time that described low load resource server receives described hot point resource, upgrade the relation between each Resource Server in described resource and Resource Server cluster.
In this technical scheme, by hot point resource and the relation that has copied the low load resource server of this hot point resource be updated to system, like this in the time having again user to send the request of downloading this hot point resource, download request can be distributed to this low load resource server, by low load resource server, the downloading data of hot point resource is returned to user, thereby reduce the serial process data of separate unit server, increase the parallel data processing of multiple servers, make the treatment effeciency of separate unit server higher, in not increasing Resource Server cost, promote user's downloading experience.
Fig. 3 shows the frame diagram of resource processing system according to an embodiment of the invention.
As shown in Figure 3, the resource processing system of embodiments of the invention is mainly made up of following several parts: data decryptor server 302, load monitoring server 304 and Resource Server cluster 306.
Wherein, user's download request data are sent to load monitoring server 304 through switch, and are user's return data by Resource Server cluster 306 according to user's download request.Wherein, data decryptor server 302 gets hot point resource by the download request of mode monitoring users and the return data of Resource Server of passive light splitting or Port Mirroring, and buffer memory hot point resource, hot point resource is sent to the low load resource server of not storing this resource, thereby in user's download request peak period, the processing method copying by hot point resource heat, the load factor of the every Taiwan investment source server in Resource Server cluster is approached identical, the overall load efficiency of Resource Server cluster is provided.
Fig. 4 shows the Organization Chart of resource processing system according to an embodiment of the invention.
As shown in Figure 4, the resource processing system 400 of embodiments of the invention is mainly made up of following part: data decryptor server 402, load monitoring server 404 and Resource Server cluster 406, wherein data decryptor server 402 comprises: data monitoring module 4022, hot replication module server end 4024.Load monitoring server 404 comprises: load monitoring module 4042, user's download request are distributed control module 4044, focus downloaded resources monitoring module 4046.Resource Server cluster comprises multiple Resource Servers, and wherein each Resource Server comprises, resource downloading service 4062 and hot replication module client end 4064.Hot replication module server end 4024 and hot replication module client end 4064 have formed hot replication module.Introduce in detail each module below.
(1) data monitoring module 4022
Obtain the download request behavior of user and Resource Server cluster by the mode of Port Mirroring or passive light splitting.Receive the hotspot caching request of focus downloaded resources monitoring module.The hot point resource downloading data that Resource Server is provided is cached on monitoring equipment by the mode of monitoring.
(2) focus downloaded resources monitoring module 4046
Focus downloaded resources monitoring module 4046 be responsible on monitoring Resource Server cluster promising user the resource hot statistics of download is provided.Focus standard can be preset, and in a kind of preferred exemplary, focus standard is as follows: in time T, have N station server to provide download service for resource a, in cluster, total linking number of resource a is M
linking number.The temperature computing formula that is resource a is as follows:
Work as H
temperature >h
hot boundarytime, assert that resource a is hot point resource.
(3) load monitoring module 4042
By SNMP(Simple Network Management Protocol, Simple Network Management Protocol) monitor in real time CPU usage, memory usage, disk IO read-write speed, the linking number of every Taiwan investment source server in Resource Server cluster.Thereby for hot replication module provides the real-time load factor of every station server.In a kind of preferred embodiment, load factor computing formula is:
Load factor=t
weight 1× (CPU usage)+t
weight 2× (memory usage)+t
weight 3× (disk IO read-write speed)+t
weight 4× (linking number)
(4) user's download request is distributed control module 4044
Relation acquisition and record that user's download request distributes control module 4044 to be responsible between downloaded resources and resource storage server.
(5) hot replication module
Hot replication module is divided into hot replication module server end 4024 and hot replication module client end 4064.
Hot replication module server end 4024 receives the successful signal of outside hot point resource a buffer memory, obtains the every station server load of current server cluster to load monitoring module 4042.Obtain the lightest server b of present load by calculating, and to server b duplicate resource a.
Hot replication module client end 4064 is present in every Taiwan investment source server, be responsible for picking the hot point resource a sending from hot replication module server end 4024, when successfully receiving resource a, notify user's download request to distribute control module 4044, for resource a provides new resource downloading service.
Fig. 5 shows the particular flow sheet of method for processing resource according to an embodiment of the invention.
As shown in Figure 5, the idiographic flow of the method for processing resource of embodiments of the invention is as follows:
Step 501, focus downloaded resources monitoring module is monitored resource, in the time monitoring in Resource Server that resource a is hot point resource, notification data monitoring module buffer memory hot point resource.
Step 502, data monitoring module is by the download request of monitoring users, and the return data of Resource Server, and by the file transfer protocol (FTP) between analyzing communication, as the agreement such as HTTP, FTP, buffer memory hot point resource a on monitoring equipment.
Step 503, in the time that resource a buffer memory completes, notifies the success of hot replication module server end hot point resource a buffer memory.
Step 504, hot replication module Server termination is received after the successful message of hot point resource a buffer memory, by the load condition of each Resource Server in load monitoring module Gains resources server cluster.
Step 505, the load condition list of obtaining is returned to hot replication module Server end by load monitoring module.
Step 506, hot replication module Server end distributes control module to send request to user's download request, and acquisition request is the address of the Resource Server of storage resources a.
Step 507, user's download request distributes control module according to the relation between downloaded resources and the resource storage server of record, obtains the address list of the Resource Server of storage resources a, and returns to hot replication module Server end.
Step 508, hot replication module Server end, according to the address list of the Resource Server of the load condition list of receiving and storage resources a, calculates idling-resource server b.
Step 509, the hot replication module client termination on notice idling-resource server b is received hot point resource a, and by hot point resource a by Internet Transmission to idling-resource server b.
Step 510, the client end of the hot replication module on server b finishes receiving after hot point resource a, distributes control module registration to user's download request, and registrar b can provide the download service of hot point resource a.When user is during to Resource Server cluster request downloaded resources a, user's download request control module just can provide the download process of Resource Server b.
More than be described with reference to the accompanying drawings technical scheme of the present invention, by technical scheme of the present invention, in user's download request peak period, by the hot duplication method of hot point resource, after certain running time, can make the load factor of every station server in Resource Server cluster approach identical, improve the running load efficiency of server cluster entirety, provide maximum download service with minimum server count, reduced operation cost, promoted user's experience simultaneously.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a resource processing system, is characterized in that, comprising:
Download request is distributed control module, obtains relation record between each Resource Server in each resource and Resource Server cluster;
Hot point resource monitoring module, monitors and adds up the download situation of each resource, according to default hot point resource standard, judges hot point resource, and sends the request of described hot point resource buffer memory;
Data monitoring module, receives the request of described hot point resource buffer memory, hot point resource described in buffer memory;
Load monitoring module, in the time that described hot point resource completes buffer memory, the load information of all Resource Servers in Gains resources server cluster;
Hot replication module, according to the relation between each Resource Server in the described each resource recording in described load information and described download request distribution control module and Resource Server cluster, find the low load resource server of not storing described hot point resource, the hot point resource of buffer memory in described data monitoring module is sent to described low load resource server.
2. resource processing system according to claim 1, is characterized in that, described data monitoring module also comprises:
Monitor submodule, the download request data of monitor terminal and the return data of described Resource Server, obtain described hot point resource.
3. resource processing system according to claim 2, is characterized in that, the listening mode of described monitoring submodule comprises Port Mirroring mode and passive light splitting mode.
4. resource processing system according to claim 1, is characterized in that, described load monitoring module also comprises:
Load comparison sub-module, according to described load information and default load factor algorithm, calculates the load factor of each Resource Server, and by relatively obtaining Resource Server that load factor is little as described low load resource server.
5. according to the resource processing system described in any one in claim 1 to 4, it is characterized in that, described download request distributes control module also to comprise:
Upgrade submodule, in the time that described low load resource server receives the hot point resource of described hot replication module transmission, upgrade the relation between each Resource Server in described resource and Resource Server cluster.
6. a method for processing resource, is characterized in that, comprising:
Step 202, obtains relation record between each Resource Server in each resource and Resource Server cluster;
Step 204, monitors and adds up the download situation of each resource, according to default hot point resource standard, judges hot point resource, and sends the request of described hot point resource buffer memory;
Step 206, receives the request of described hot point resource buffer memory, hot point resource described in buffer memory;
Step 208, in the time that described hot point resource completes buffer memory, the load information of all Resource Servers in Gains resources server cluster;
Step 210, according to the relation between each Resource Server in the described each resource recording in described load information and described download request distribution control module and Resource Server cluster, find the low load resource server of not storing described hot point resource, the hot point resource of buffer memory in described data monitoring module is sent to described low load resource server.
7. method for processing resource according to claim 6, is characterized in that, described step 206 also comprises:
The download request data of monitor terminal and the return data of Resource Server, obtain described hot point resource.
8. method for processing resource according to claim 7, is characterized in that, the listening mode of the download request data of described terminal and the return data of described Resource Server comprises Port Mirroring mode and passive light splitting mode.
9. method for processing resource according to claim 6, is characterized in that, described step 208 also comprises:
According to described load information and default load factor algorithm, the load factor of each Resource Server is calculated, and by relatively obtaining Resource Server that load factor is little as described low load resource server.
10. according to the method for processing resource described in any one in claim 6 to 9, it is characterized in that, described step 202 also comprises:
In the time that described low load resource server receives described hot point resource, upgrade the relation between each Resource Server in described resource and Resource Server cluster.
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| WO2017118171A1 (en) * | 2016-01-07 | 2017-07-13 | 杭州海康威视数字技术股份有限公司 | Data migration method and apparatus |
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