CN101938504A - Cluster server intelligent dispatching method and system - Google Patents
Cluster server intelligent dispatching method and system Download PDFInfo
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- CN101938504A CN101938504A CN2009101084198A CN200910108419A CN101938504A CN 101938504 A CN101938504 A CN 101938504A CN 2009101084198 A CN2009101084198 A CN 2009101084198A CN 200910108419 A CN200910108419 A CN 200910108419A CN 101938504 A CN101938504 A CN 101938504A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
- H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
- H04L61/4511—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using domain name system [DNS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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Abstract
The invention relates to cluster server intelligent dispatching method and system. The cluster server intelligent dispatching system comprises a group of cluster servers, a state database, an IP (Internet Protocol) address database and a DNS (Domain Name Server) server, wherein the group of cluster servers are respectively provided with a feedback program used for collecting the real-time information of the operating states of the servers; the state database is connected with the group of cluster servers and used for recording the real-time information of the operating states of the servers according to the real-time information of the operating states of the servers, wherein the real-time information is collected by the feedback programs; the IP address database is connected with the state database and used for recording the IP address of each server, the geographic position of the IP address of the corresponding server and the information of network operators; and the DNS server is connected with the IP address database, used for distributing same domain names to the cluster servers providing same services, scoring each server in real time according to the operating states inside the state database and the IP information of accessors to obtain the scoring grades of the servers and providing network services for users by selecting an optimum server IP.
Description
Technical field
The present invention relates to internet arena, relate in particular to a kind of method and system of cluster server intelligent scheduling.
Background technology
Performance at the separate unit server exists under the situation of bottleneck, and group system can adopt certain mechanism that all requests are distributed to many node servers by load equalizer, makes the system business disposal ability promote greatly.In addition, load equalizer can also the monitoring server node availability, the load balancing strategy of load balance scheduler employing at present has following several: 1. repeating query equilibrium: distribute to inner server in turn for the processing request of network traffic data at every turn, restart then from 1 to N, this kind equalization algorithm is suitable for the situation that servers all in the server group all has identical software and hardware configuration and average service request relative equilibrium; 2. balanced at random: as to adopt random algorithm to select a station server; 3. minimum linking number equilibrium: select the minimum station server of load in the server of selection work at present; 4. disposal ability equilibrium: distribute a weight coefficient according to the every station server of not being all of every station server disposal ability in the disposal ability equilibrium, the absolute load parameter that weight coefficient multiply by on the server draws relative load parameter, the balanced server of selecting a relative load parameter minimum of disposal ability; 5. dynamic equalization: so-called dynamic load leveling is to come allocating task according to cluster server state (CPU, main processing section such as internal memory).1st, in 2 kinds of balance policies because do not introduce the feedback information of server, balance policy has no idea to adjust according to actual conditions, the time load meeting of one long each server is unbalanced, if certain station server breaks down suddenly, because fault can't be known in system, cause having certain customers and can't obtain service; Though introduce the feedback information of server in the 3rd kind of balance policy, but do not consider the difference of the disposal ability of different server, adopt absolute load as criterion, the service cluster effect that differs greatly for the disposal ability of server is also bad, the 4th kind of balance policy considered the difference of the disposal ability of different server, for every station server has distributed a static weight coefficient, introduce relative load parameter as criterion, improved effect of load balance to a certain extent, this also is a kind of balance policy that we adopt usually; The 5th kind of balance policy returns the dynamic load feedback information of server to balance policy, and balanced live effect is best, but realizes that difficulty is bigger.
In addition, the user distribution of the Internet throughout the country, according to present network presence, there are problems such as distance, north and south net, how to insert a geographical position nearest for the user automatically, and belong to the server of telecommunications or Netcom, just becomes the problem that we need consider; The ability of every station server is uneven, and after being a plurality of user's services simultaneously, CPU, internal memory, residue service-user number etc. are different, and we need seek a lightest server of load for the user;
Given this, be necessary to propose a kind of improved method to overcome the defective of prior art in fact.
Summary of the invention
In view of this, the object of the invention is to provide the method and system of cluster server intelligent scheduling, is assigned on the server that can have access to guarantee the network user, makes the network user can obtain the network service efficiently.
In order to address the above problem the method that the invention provides a kind of cluster server intelligent scheduling, these method concrete steps are as follows:
A: set up a slip condition database, this slip condition database is used to write down the real time information of operation condition of server;
B: set up an IP address database, writing down the IP address of each server and the corresponding informance corresponding in this IP address database with the IP address of server;
C a: feedback process is set on every station server, is used to collect the real time information of the running status of this server, and feed back in real time and be updated in the slip condition database;
D: set up a dns server, comprise a cluster server IP tabulation, for the cluster server that same services is provided distributes identical domain name, real-time the marking for every station server of IP information according to running status in the slip condition database and visitor draws the server grading system;
The E:DNS server selects only server ip to provide services on the Internet for the user according to grading system from cluster server IP tabulation.
In addition, the present invention also provides a kind of system of cluster server intelligent scheduling, it is characterized in that, this system comprises:
One group of cluster server, a feedback process is set on every station server, be used to collect the real time information of the running status of each server, real time information comprises that CPU usage, memory usage, the server of server are provided with load capacity and residue service-user number;
One with the slip condition database that links to each other of group cluster server, according to the real time information of the running status of each server of feedback process collection, this slip condition database is used to write down the real time information of operation condition of server;
An IP address database that links to each other with slip condition database is writing down the geographical position and the network operator information of the IP address of the IP address of each server and corresponding with service device in this IP address database, network operator information comprises telecommunications and Netcom;
A dns server that links to each other with IP address database, comprise a cluster server IP tabulation, for the server cluster that same services is provided distributes identical domain name, real-time the marking of IP information according to running status in the slip condition database and visitor for every station server, draw the grading system of server, select only server ip to provide services on the Internet for the user according to grading system.
Beneficial effect of the present invention is, collect the running status collection of server according to the feedback process of installing on the server, in addition, the present invention is also according to the geographical position of visitor's IP, provide with the nearest server in visitor geographical position serve dns server according to running status rapidly the effective choice server provide service for the visitor, make visitor's visit obtain more secure response.
Description of drawings
Fig. 1 is a cluster server intelligent dispatching method FB(flow block) of the present invention;
Fig. 2 is a cluster server intelligent dispatching system structural representation of the present invention;
Fig. 3 is another execution mode cluster server intelligent dispatching system structural representation of the present invention.
Embodiment
Illustrate that below in conjunction with accompanying drawing the present invention specifically implements.
Fig. 1 is the method for a kind of cluster server intelligent scheduling provided by the invention, and as shown in the figure, this method comprises:
S10: set up a slip condition database, this slip condition database is used to write down the real time information of operation condition of server;
S20: set up an IP address database, writing down the corresponding informance of the IP address of the IP address of each server and corresponding with service device in this IP address database; The corresponding informance of the IP address of corresponding with service device comprises the geographical position and the network operator information of server, and network operator information comprises telecommunications and Netcom.
S30 a: feedback process is set on every station server, is used to collect the real time information of the running status of this server, and feed back in real time and be updated in the slip condition database; The real time information that feedback process is collected comprises that CPU usage, memory usage, the server of server are provided with load capacity and residue service-user number, and described feedback process was about to the real time information feedback at interval in 5 seconds and is updated in the slip condition database.When wherein a certain server breaks down, feedback process will feed back failure identification 1 to slip condition database, should out of order server-tag be invalid in the cluster server IP tabulation.Do not participate in the relatively scoring with other server, the user can not visit; After fault is got rid of, feedback process will feed back failure identification 0 to slip condition database, should be labeled as again effectively by out of order server in the cluster server IP tabulation.
S40: set up a dns server, comprise a cluster server IP tabulation, for the cluster server that same services is provided distributes identical domain name, real-time the marking for every station server of IP information according to running status in the slip condition database and visitor draws the server grading system;
In this step, comprise an automatic enquiry module of IP in the dns server, when dns server receives visitor's access request, the automatic enquiry module of IP will inquire the geographical position of visitor's IP automatically, and DNS marks to each webserver according to the geographical position of visitor's IP, the particular geographic location of each webserver and the real time information of network operator information and each webserver running status.
Dns server point system order is specific as follows in this step: at first preferentially CPU usage, memory usage, the server of the server that provides according to feedback process are provided with load capacity and residue service-user number relatively, according to server load capacity and residue service-user number are set, the server scoring that residue service-user number is maximum is up to the first estate; When the residue service-user number of server was lower than to the scope set, wherein user's remainder setting range was 100, continues scoring according to CPU usage, and the scoring that CPU usage is few is second grade; Be lower than the scope of setting at the residue service-user number of server, when CPU usage was higher than setting range simultaneously, wherein the CPU usage setting range was 70%, continued scoring according to memory usage again, and the scoring that memory usage is few is the tertiary gradient; Residue service-user number at server reaches certain limit, when simultaneously CPU usage is higher than setting range and internal memory and is higher than setting range, wherein the memory usage setting range is 70%, according to visitor's IP geographical position scoring, the nearest scoring in visitor's the IP geographical position and the IP geographical position of server is the fourth estate again.
The S50:DNS server is according to grading system, select only server ip to provide services on the Internet for the user from cluster server IP tabulation, described dns server selects the hierarchal order of server to be: the first estate, second grade, the tertiary gradient, the fourth estate.
For more specific description the inventive method and system, please also refer to Fig. 2, be depicted as the structural representation of cluster server intelligent dispatching system of the present invention; System comprises:
One group of cluster server, comprise server 1, server 2, server 3 and server 4, correspondence is provided with a feedback process 1,2,3,4 on every station server, be used to collect the real time information of the running status of each server 1,2,3,4, real time information comprises that CPU usage, memory usage, the server of server are provided with load capacity and residue service-user number;
One with the slip condition database that links to each other of group cluster server, according to the real time information of the running status of each server of feedback process collection, this slip condition database is used to write down the real time information of operation condition of server;
An IP address database that links to each other with slip condition database is writing down the geographical position and the network operator information of the IP address of the IP address of each server and corresponding with service device in this IP address database, network operator information comprises telecommunications and Netcom;
A dns server that links to each other with IP address database, comprise a cluster server IP tabulation, for the server cluster that same services is provided distributes identical domain name, real-time the marking of IP information according to running status in the slip condition database and visitor for every station server, also comprise an automatic enquiry module of IP in the described dns server, when dns server receives visitor's access request, the automatic enquiry module of IP will inquire the geographical position of visitor's IP automatically, and DNS is according to the geographical position of visitor's IP, the real time information of the particular geographic location of each webserver and network operator information and each webserver running status is marked to each webserver.
Dns server point system order is specific as follows: at first preferentially CPU usage, memory usage, the server of the server that provides according to feedback process are provided with load capacity and residue service-user number relatively, and load capacity is set server and the maximum server scoring of residue service-user number is up to the first estate; When the residue service-user number of server is lower than to the scope set, continue scoring according to CPU usage, the scoring that CPU usage is few is second grade; Be lower than the scope of setting at the residue service-user number of server, when CPU usage is higher than setting range simultaneously, continue scoring according to memory usage again, the scoring that memory usage is few is the tertiary gradient; Residue service-user at server is lower than setting range, when simultaneously CPU usage is higher than setting range and internal memory and is higher than setting range, according to visitor's IP geographical position scoring, the nearest scoring in visitor's the IP geographical position and the IP geographical position of server is the fourth estate again; User's remainder setting range is 100, and the CPU usage setting range is 70%, and the memory usage setting range is 70%, and dns server selects the hierarchal order of server to be: the first estate, second grade, the tertiary gradient, the fourth estate.Draw the grading system of server, select only server ip to provide services on the Internet for the user according to grading system.
Embodiment one
The load capacity that server 1 is provided with is 2000 1800 user captures, and the residual negative carrying capacity is 200, and CPU usage is 60%, and memory usage is 71%; The load capacity that server 2 is provided with is 2200 1800 user captures, the residual negative carrying capacity is 400, CPU usage is 55%, the load capacity that memory usage is 69%, server 3 is provided with is 1900 1650 user captures, the residual negative carrying capacity is 250, CPU usage is 73%, and memory usage is 71%; And server 4 load capacity are 2100 1800 user captures have been arranged, and the residual negative carrying capacity is 300, and CPU usage is 64%, and memory usage is 70%.
By feedback process 1,2,3,4 above-mentioned data are fed back to slip condition database, because the residual negative carrying capacity of 4 station servers is respectively 200,400,250,300, all greater than the residual negative carrying capacity of setting 100, DNS will not consider the CPU usage and the memory usage data of server 1,2,3,4, must classifying of server 2 is the first estate, and directly selected server 2 provides service for the user.
Embodiment two
The load capacity that server 1 is provided with is 2000 1950 user captures, and the residual negative carrying capacity is 50, and CPU usage is 60%, and memory usage is 71%; The load capacity that server 2 is provided with is 2200 2140 user captures, the residual negative carrying capacity is 60, CPU usage is 55%, the load capacity that memory usage is 69%, server 3 is provided with is 1900 1830 user captures, the residual negative carrying capacity is 70, CPU usage is 73%, and memory usage is 71%; And server 4 load capacity are 2100 2020 user captures have been arranged, and the residual negative carrying capacity is 300, and CPU usage is 64%, and memory usage is 70%.
By feedback process 1,2,3,4 above-mentioned data are fed back to slip condition database, because the residual negative carrying capacity of 4 station servers is respectively 50,60,70,80, all greater than the residual negative carrying capacity of setting 100, DNS will not consider the residual negative carrying capacity of server 1,2,3,4, be respectively 60%, 55%, 73%, 64% according to CPU usage, then the CPU usage of server 2 is less than set point 70% and minimum, therefore score is the highest, must classifying of server 2 is second grade, and directly selected server 2 provides service for the user.
Embodiment three
The load capacity that server 1 is provided with is 2000 1950 user captures, and the residual negative carrying capacity is 50, and CPU usage is 71%, and memory usage is 67%; The load capacity that server 2 is provided with is 2200 2140 user captures, the residual negative carrying capacity is 60, CPU usage is 72%, the load capacity that memory usage is 66%, server 3 is provided with is 1900 1830 user captures, the residual negative carrying capacity is 70, CPU usage is 73%, and memory usage is 65%; And server 4 load capacity are 2100 2020 user captures have been arranged, and the residual negative carrying capacity is 300, and CPU usage is 74%, and memory usage is 64%.
By feedback process 1,2,3,4 feed back to slip condition database with above-mentioned data, because the residual negative carrying capacity of 4 station servers is respectively 50,60,70,80, all greater than the residual negative carrying capacity of setting 100, and CPU usage is respectively 71%, 72%, 73%, 74%, all be higher than set point 70%, DNS will not consider server 1,2,3,4 residual negative carrying capacity and CPU usage, be respectively 67% according to memory usage, 66%, 65%, 64%, then the memory usage of server 4 is less than set point 70% minimum, therefore score is the highest, must classifying of server 4 is the tertiary gradient, and directly selected server 4 provides service for the user.
Embodiment four
The load capacity that server 1 is provided with is 2000 1950 user captures, and the residual negative carrying capacity is 50, and CPU usage is 71%, and memory usage is 71%; The load capacity that server 2 is provided with is 2200 2140 user captures, the residual negative carrying capacity is 60, CPU usage is 72%, the load capacity that memory usage is 72%, server 3 is provided with is 1900 1830 user captures, the residual negative carrying capacity is 70, CPU usage is 73%, and memory usage is 73%; And server 4 load capacity are 2100 2020 user captures have been arranged, and the residual negative carrying capacity is 300, and CPU usage is 74%, and memory usage is 74%.
By feedback process 1,2,3,4 feed back to slip condition database with above-mentioned data, because the residual negative carrying capacity of 4 station servers is respectively 50,60,70,80, all greater than the residual negative carrying capacity of setting 100, and CPU and memory usage and be respectively 71%, 72%, 73%, 74%, all be higher than set point 70%, DNS will not consider server 1,2,3,4 residual negative carrying capacity and CPU and memory usage, according to the geographical position between visitor IP geographical position and the server, select the server nearest with the visitor geographical position, for example server 2 is nearest with the visitor geographical position, then server 2 scores are the highest, must classifying of server 2 is the fourth estate, and directly selected server 2 provides service for the user.
Fig. 3 is a kind of improvement to intelligent dispatching system shown in Figure 2, and wherein said slip condition database and IP address database all are arranged in the dns server.
In addition to a kind of improvement (not shown) of intelligent dispatching system shown in Figure 3, also comprise the standby dns server that links to each other with dns server more than, the data of dns server and the real time data synchronization of standby dns server are upgraded, when dns server breaks down, work on by standby dns server.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the method for a cluster server intelligent scheduling is characterized in that, these method concrete steps are as follows:
A: set up a slip condition database, this slip condition database is used to write down the real time information of operation condition of server;
B: set up an IP address database, writing down the IP address of each server and the corresponding informance corresponding in this IP address database with the IP address of server;
C a: feedback process is set on every station server, is used to collect the real time information of the running status of this server, and feed back in real time and be updated in the slip condition database;
D: set up a dns server, comprise a cluster server IP tabulation, for the cluster server that same services is provided distributes identical domain name, real-time the marking for every station server of IP information according to running status in the slip condition database and visitor draws the server grading system;
The E:DNS server selects only server ip to provide services on the Internet for the user according to grading system from cluster server IP tabulation.
2. the method for cluster server intelligent scheduling as claimed in claim 1, it is characterized in that: among the described step B, the described corresponding informance corresponding with the IP address of server comprises the geographical position and the network operator information of server, and network operator information comprises telecommunications and Netcom.
3. the method for cluster server intelligent scheduling as claimed in claim 2, it is characterized in that: the real time information that feedback process is collected among the described step C comprises that CPU usage, memory usage, the server of server are provided with load capacity and residue service-user number, and described feedback process was about to the real time information feedback at interval in 5 seconds and is updated in the slip condition database.
4. the method for cluster server intelligent scheduling as claimed in claim 3, it is characterized in that: among the described step D, comprise an automatic enquiry module of IP in the dns server, when dns server receives visitor's access request, the automatic enquiry module of IP will inquire the geographical position of visitor's IP automatically, and DNS marks to each webserver according to the geographical position of visitor's IP, the particular geographic location of each webserver and the real time information of network operator information and each webserver running status.
5. the method for cluster server intelligent scheduling as claimed in claim 4, it is characterized in that: described dns server point system order is specific as follows: at first preferentially CPU usage, memory usage, the server of the server that provides according to feedback process are provided with load capacity and residue service-user number relatively, according to server load capacity and residue service-user number are set, wherein remain the maximum server scoring of load number and be up to the first estate; When the residue service-user number of server is lower than setting range, continue scoring according to CPU usage, the scoring that CPU usage is few is second grade; Residue service-user number at server is lower than setting range, when CPU usage is higher than setting range simultaneously, continues scoring according to memory usage again, and the scoring that memory usage is few is the tertiary gradient; Residue service-user number at server is lower than setting range, when simultaneously CPU usage is higher than setting range and internal memory and is higher than setting range, according to visitor's IP geographical position scoring, the nearest scoring in visitor's the IP geographical position and the IP geographical position of server is the fourth estate again.
6. the chained library Compilation Method of dynamically obtaining UID as claimed in claim 5, it is characterized in that: described user's remainder setting range is 100, described CPU usage setting range is 70%, described memory usage setting range is 70%, and described dns server selects the hierarchal order of server to be: the first estate, second grade, the tertiary gradient, the fourth estate.
7. the system of a multiserver intelligent scheduling is characterized in that, this system comprises:
One group of cluster server, a feedback process is set on every station server, be used to collect the real time information of the running status of each server, real time information comprises that CPU usage, memory usage, the server of server are provided with load capacity and residue service-user number;
One with the slip condition database that links to each other of group cluster server, according to the real time information of the running status of each server of feedback process collection, this slip condition database is used to write down the real time information of operation condition of server;
An IP address database that links to each other with slip condition database is writing down the geographical position and the network operator information of the IP address of the IP address of each server and corresponding with service device in this IP address database, network operator information comprises telecommunications and Netcom;
A dns server that links to each other with IP address database, comprise a cluster server IP tabulation, for the server cluster that same services is provided distributes identical domain name, real-time the marking of IP information according to running status in the slip condition database and visitor for every station server, draw the grading system of server, select only server ip to provide services on the Internet for the user according to grading system.
8. the system of multiserver intelligent scheduling as claimed in claim 7, it is characterized in that: described slip condition database and IP address database all are arranged in the dns server, also comprise an automatic enquiry module of IP in the described dns server, when dns server receives visitor's access request, the automatic enquiry module of IP will inquire the geographical position of visitor's IP automatically, and DNS is according to the geographical position of visitor's IP, the real time information of the particular geographic location of each webserver and network operator information and each webserver running status is marked to each webserver.
9. the system of multiserver intelligent scheduling as claimed in claim 7, it is characterized in that: described dns server point system order is specific as follows: at first preferentially CPU usage, memory usage, the server of the server that provides according to feedback process are provided with load capacity and residue service-user number relatively, according to server load capacity and residue service-user number are set, the server scoring that residue service-user number is maximum is up to the first estate; When the residue service-user number of server is lower than to setting range, continue scoring according to CPU usage, the scoring that CPU usage is few is second grade; Be lower than the scope of setting at the residue service-user number of server, when CPU usage is higher than setting range simultaneously, continue scoring according to memory usage again, the scoring that memory usage is few is the tertiary gradient; Residue service-user number at server is lower than setting range, simultaneously CPU usage is higher than in the setting range and internal memory when being higher than setting range, according to visitor's IP geographical position scoring, the nearest scoring in visitor's the IP geographical position and the IP geographical position of server is the fourth estate again; Described user's remainder setting range is 100, described CPU usage setting range is 70%, described memory usage setting range is 70%, and described dns server selects the hierarchal order of server to be: the first estate, second grade, the tertiary gradient, the fourth estate.
10. the system of multiserver intelligent scheduling as claimed in claim 9, it is characterized in that: also comprise the standby dns server that links to each other with dns server more than, the data of dns server and the real time data synchronization of standby dns server are upgraded, when dns server breaks down, work on by standby dns server.
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| CN2009101084198A CN101938504A (en) | 2009-06-30 | 2009-06-30 | Cluster server intelligent dispatching method and system |
| PCT/CN2009/076279 WO2011000199A1 (en) | 2009-06-30 | 2009-12-30 | Method and system for intelligently scheduling cluster servers |
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| CN2009101084198A CN101938504A (en) | 2009-06-30 | 2009-06-30 | Cluster server intelligent dispatching method and system |
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