CN108667654B - Automatic server cluster capacity expansion method and related equipment - Google Patents

Automatic server cluster capacity expansion method and related equipment Download PDF

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CN108667654B
CN108667654B CN201810355066.0A CN201810355066A CN108667654B CN 108667654 B CN108667654 B CN 108667654B CN 201810355066 A CN201810355066 A CN 201810355066A CN 108667654 B CN108667654 B CN 108667654B
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server
server cluster
cluster
capacity expansion
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CN108667654A (en
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丁贤云
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Beijing QIYI Century Science and Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0876—Aspects of the degree of configuration automation
    • H04L41/0886—Fully automatic configuration
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/10—Flow control; Congestion control
    • H04L47/29—Flow control; Congestion control using a combination of thresholds
    • 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
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1031—Controlling of the operation of servers by a load balancer, e.g. adding or removing servers that serve requests
    • 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
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/104—Peer-to-peer [P2P] networks
    • H04L67/1044—Group management mechanisms 

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Abstract

The invention discloses an automatic server cluster capacity expansion method and related equipment. The method is applied to a load balancing control subsystem of a data center system, and comprises the following steps: acquiring the current cluster network card flow of each server cluster counted by a flow monitoring subsystem; for each server cluster, comparing the current cluster network card flow with the preset upper limit flow of the server cluster; if yes, determining that the server cluster needing capacity expansion exists, and calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster; and configuring standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling. The technical scheme provided by the invention enables the server cluster needing capacity expansion to effectively respond to the burst flow request exceeding the rated upper limit flow of the cluster network card, thereby effectively ensuring the normal operation of the service.

Description

Automatic server cluster capacity expansion method and related equipment
Technical Field
The invention relates to the technical field of computers, in particular to an automatic server cluster capacity expansion method and related equipment.
Background
A server cluster refers to a plurality of servers which are collected together to perform the same service, and appears to a client as if there is only one server. The cluster can utilize a plurality of servers to perform parallel computation so as to obtain high computation speed, and also can use a plurality of servers to perform backup so that the normal operation of the whole system is not influenced by the fault of any one server.
In the prior art, the number of servers in a server cluster is generally fixed, that is, the maximum flow (hereinafter referred to as rated upper limit flow) of a cluster network card that the server cluster can support is fixed. In the actual operation and maintenance process, some services sometimes encounter a sudden flow request exceeding the rated upper limit flow of the cluster network card, and at this time, the flow request can be responded only by a current limiting mode or a mode of manually adding a server. On one hand, the current limitation can cause some users to be incapable of using the service normally, and on the other hand, the manual server adding mode generally has slow response, so that the sudden flow request exceeding the rated upper limit flow of the cluster network card cannot be responded in time, and service faults are easily caused.
That is, in the prior art, it is impossible to timely and effectively handle a sudden traffic request that exceeds the rated upper limit traffic of the cluster network card, thereby affecting the normal operation of the service.
Disclosure of Invention
In view of this, embodiments of the present invention provide an automatic capacity expansion method for a server cluster and related devices, so that a server cluster requiring capacity expansion can effectively respond to a sudden traffic request exceeding a rated upper limit traffic of a cluster network card, thereby effectively ensuring normal operation of a service.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
a server cluster automatic capacity expansion method is applied to a load balance control subsystem of a data center system, the data center system further comprises a flow monitoring subsystem, a server cluster and a standby server, and the method comprises the following steps:
acquiring the current cluster network card flow of each server cluster counted by the flow monitoring subsystem;
for each server cluster, comparing the current cluster network card flow with the preset upper limit flow of the server cluster;
if the server clusters needing capacity expansion exist through the comparison, calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
and configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling.
Optionally, if the number of standby servers of the data center system is less than the sum of the numbers of machines that need to be added to the server cluster that needs capacity expansion, the method further includes:
sequencing the services corresponding to the server clusters needing capacity expansion according to the sequence of the priorities from top to bottom;
and scheduling according to the priority sequencing result, and configuring the standby server for the server cluster needing capacity expansion.
Optionally, if the number of standby servers of the data center system is less than the sum of the numbers of machines that need to be added to the server cluster that needs capacity expansion, the method further includes:
sorting the server clusters needing capacity expansion according to the sequence of the number of machines needing to be increased of the server clusters needing capacity expansion from the maximum number to the minimum number;
and scheduling according to the quantity sequencing result, and configuring the standby server for the server cluster needing capacity expansion.
Optionally, if the number of standby servers of the data center system is less than the sum of the numbers of machines that need to be added to the server cluster that needs capacity expansion, the method further includes:
respectively establishing processes for seizing the standby server for each server cluster needing capacity expansion;
starting the process, and preempting the standby server for the server cluster matched with the process;
and adding the standby server preempted by the process to the server cluster matched with the process through scheduling.
Optionally, the method further includes:
if the server cluster needing to be restored exists in the expanded server clusters, releasing the standby servers added in the capacity expansion of the server cluster needing to be restored; and the current cluster network card flow of the server cluster needing to be restored is reduced to the preset safety flow of the server cluster.
Optionally, the calculating the number of machines to be added to each server cluster that needs capacity expansion includes:
for each server cluster needing capacity expansion, calculating a quotient of dividing rated upper limit flow by preset upper limit flow, and subtracting 1 from the product of the quotient and the current cluster network card flow ratio to obtain an adjustment coefficient; the current cluster network card flow ratio is obtained by dividing the current cluster network card flow by the rated upper limit flow;
and calculating the product of the number of the servers in the server cluster and the adjustment coefficient to obtain the number of the machines to be increased.
The utility model provides an automatic device that expands of server cluster, is applied to the load balancing control subsystem of data center system, data center system still includes flow monitoring subsystem, server cluster and standby server, the device includes:
the acquisition module is used for acquiring the current cluster network card flow of each server cluster counted by the flow monitoring subsystem;
the comparison module is used for comparing the current cluster network card flow with the preset upper limit flow of the server cluster for each server cluster;
the calculation module is used for determining that the server clusters needing capacity expansion exist through the comparison and calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
and the first scheduling module is used for configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling.
Optionally, the method further includes:
and the second scheduling module is configured to, if the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to each of the server clusters that need capacity expansion, sort the services corresponding to each of the server clusters that need capacity expansion according to a sequence of priorities from top to bottom, schedule according to a priority sorting result, and configure the standby servers for the server clusters that need capacity expansion.
Optionally, the method further includes:
and the third scheduling module is configured to, if the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, sort the server clusters that need to be expanded in order of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, schedule the server clusters that need to be expanded according to the number sorting result, and configure the standby servers for the server clusters that need to be expanded.
Optionally, the method further includes:
and the fourth scheduling module is used for respectively creating a process for preempting the standby server for each server cluster needing capacity expansion if the number of the standby servers of the data center system is less than the sum of the number of the machines which need to be added to each server cluster needing capacity expansion, starting the process, preempting the standby server for the server cluster matched with the process, and adding the standby server preempting the process to the server cluster matched with the process through scheduling.
Optionally, the method further includes:
the resource releasing module is used for releasing the standby servers added by the server cluster needing to be restored during capacity expansion if the server cluster needing to be restored exists in the expanded server clusters; and the current cluster network card flow of the server cluster needing to be restored is reduced to the preset safety flow of the server cluster.
Optionally, the process of calculating, by the calculation module, the number of machines to be added to each server cluster that needs to be expanded includes:
for each server cluster needing capacity expansion, calculating a quotient of dividing rated upper limit flow by preset upper limit flow, and subtracting 1 from the product of the quotient and the current cluster network card flow ratio to obtain an adjustment coefficient; the current cluster network card flow ratio is obtained by dividing the current cluster network card flow by the rated upper limit flow;
and calculating the product of the number of the servers in the server cluster and the adjustment coefficient to obtain the number of the machines to be increased.
A data center system, comprising:
the system comprises a flow monitoring subsystem, a load balancing control subsystem, a server cluster and a standby server;
the load balancing control subsystem is used for executing the automatic server cluster capacity expansion method.
A load balancing control apparatus comprising:
a processor and a memory, the processor and memory connected by a communication bus:
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing a program, and the program is at least used for executing the server cluster automatic capacity expansion method.
A storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the server cluster auto-capacity-extending method as described above.
Compared with the prior art, the technical scheme provided by the invention provides the automatic server cluster capacity expansion method and the related equipment. The technical scheme provided by the invention is applied to a data center system comprising a flow monitoring subsystem, a load balancing control subsystem, server clusters and standby servers, wherein the load balancing control subsystem firstly acquires the current cluster network card flow of each server cluster counted by the flow monitoring subsystem, then compares the current cluster network card flow with the preset upper limit flow of the server cluster for each server cluster, determines that the server cluster needing capacity expansion exists (wherein the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster) if the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster), calculates the number of machines needing to be added of each server cluster needing capacity expansion, and then configures the standby servers needing the number of machines for the server cluster needing capacity expansion through scheduling. That is to say, the technical scheme provided by the present invention can automatically configure the standby servers of the number of machines required for the server cluster to be expanded, so that the server cluster to be expanded can effectively respond to the burst flow request exceeding the rated upper limit flow of the network card of the cluster, thereby effectively ensuring the normal operation of the service.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a topology structure diagram of a data center system according to an embodiment of the present invention;
fig. 2 is a flowchart of an automatic server cluster capacity expansion method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a relationship between a server cluster and a standby server when a current cluster network card traffic ratio of each server cluster does not exceed a preset upper limit traffic ratio;
fig. 4 is a schematic diagram of a relationship between a server cluster and a standby server when a current cluster network card flow ratio of the server cluster 1 exceeds a preset upper limit flow ratio;
fig. 5 is a schematic diagram illustrating a relationship between a server cluster and a standby server when the current cluster network card traffic ratio of the server cluster 1 is restored to the preset safe traffic ratio;
fig. 6 is a structural diagram of an automatic capacity expansion apparatus for a server cluster according to an embodiment of the present invention;
fig. 7 is a hardware structure diagram of a load balancing control device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Examples
The technical scheme provided by the embodiment of the invention is applied to a data center system, the data center system is generally arranged in a plurality of node cities according to requirements, for example, taking the continental China as an example, one data center system can be respectively arranged in node cities of Beijing, Shanghai, Chengdu and the like, each data center system can mainly serve the regions radiated by the node city, for example, the data center system arranged in Beijing can serve the North China region and the northeast China region, and the data center system arranged in Chengdu can serve the West region. It should be understood that the above description is only a brief description of the data center system, and the change of the distribution manner of the data center system does not affect the implementation of the present invention.
Referring to fig. 1, fig. 1 is a topology structure diagram of a data center system according to an embodiment of the present invention. As shown in fig. 1, the data center system includes:
a flow monitoring subsystem 11, a load balancing control subsystem 12, a server cluster 13 and a standby server 14;
the flow monitoring subsystem 11 is configured to count the current cluster network card flow of each server cluster 13;
the load balancing control subsystem 12 is configured to:
acquiring the current cluster network card flow of each server cluster 13 counted by the flow monitoring subsystem 11;
for each server cluster 13, comparing the current cluster network card flow with the preset upper limit flow of the server cluster;
if the server clusters needing capacity expansion exist through the comparison, calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
and configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling.
The technical solution provided by the embodiment of the present invention will be described in detail based on the above data center system.
The embodiment of the invention provides an automatic capacity expansion method of a server cluster, which is applied to a load balancing control subsystem in a data center system. Referring to fig. 2, fig. 2 is a flowchart of an automatic server cluster capacity expansion method according to an embodiment of the present invention. As shown in fig. 2, the method includes:
step S11, acquiring the current cluster network card flow of each server cluster counted by the flow monitoring subsystem;
specifically, the traffic monitoring subsystem may count the current cluster network card traffic of each server cluster in the data center platform. The current cluster network card flow of each server cluster is the sum of the network card flows of all the servers in the server cluster.
Optionally, the load balancing control subsystem may actively acquire the current cluster network card traffic of each server cluster from the traffic monitoring subsystem, or may directly acquire the current cluster network card traffic of each server cluster actively sent by the traffic monitoring subsystem.
Step S12, for each server cluster, comparing the current cluster network card flow with the preset upper limit flow of the server cluster;
optionally, for each server cluster, the preset upper limit flow of the server cluster should be smaller than the rated upper limit flow of the server cluster, so that when a sudden flow request with a large value is faced, the server cluster can effectively respond, and the phenomenon that the sudden flow request exceeds the rated upper limit flow to affect the normal operation of the service is avoided.
Step S13, if the server clusters needing capacity expansion exist through the comparison, the number of machines needing to be added to each server cluster needing capacity expansion is calculated;
specifically, the current network card traffic of the cluster of the server cluster to be expanded exceeds the preset upper limit traffic of the server cluster. That is, if the current network card traffic of any server cluster (e.g., a server cluster) exceeds the preset upper limit traffic of the server cluster, the server cluster (e.g., a server cluster) is the server cluster that needs to be expanded.
Optionally, in S13, the process of calculating the number of machines that need to be added to each server cluster that needs to be expanded includes:
for each server cluster needing capacity expansion:
calculating a quotient of dividing rated upper limit flow by preset upper limit flow, and subtracting 1 from the product of the quotient and the current cluster network card flow ratio to obtain an adjustment coefficient;
the current cluster network card flow ratio is obtained by dividing the current cluster network card flow by the rated upper limit flow;
and calculating the product of the number of the servers in the server cluster and the adjustment coefficient to obtain the number of the machines to be increased.
In order to more clearly illustrate the calculation method of the number of machines to be added to the server cluster needing capacity expansion, the following auxiliary formula is derived:
(Cnew+Cold)×B≥Cold×α (1)
wherein, CnewIndicating the number of machines (i.e., standby servers) to be added to the server cluster requiring capacity expansion, ColdThe method comprises the steps of representing the original machine number of a server cluster needing capacity expansion, B representing the ratio of a preset upper limit flow to a rated upper limit flow (in the original configuration state of the server cluster needing capacity expansion), and alpha representing the current cluster network card flow ratio obtained by dividing the current cluster network card flow by the rated upper limit flow (in the original configuration state of the server cluster needing capacity expansion).
Specifically, the formula is applied on the premise that the server cluster needs to be expanded, that is, the network card flow of the current cluster is greater than the preset upper limit flow of the server cluster, so that alpha is greater than B, and the purpose of the formula is to calculate C meeting Bold. Optionally, B is 90%, that is, the value of the preset upper limit flow rate is set to be 90% of the rated upper limit flow rate, and certainly, B may also be other values smaller than 1, which is not limited in the present invention. The formula (1) can determine that the formula can be established by adding the standby server to the server cluster to be expanded, so that after the standby server is added to the server cluster to be expanded, the current cluster network card flow ratio of the server cluster to be expanded is less than or equal to B, and normal operation of the service is guaranteed.
Of course, for computational convenience, the following can be converted from (1):
Figure BDA0001634374640000091
wherein, the meaning of each parameter in the formula (2) is the same as that of the corresponding parameter in the formula (1), and the description is omitted here.
Step S14, configuring the standby servers that respectively need the number of machines for the server cluster that needs capacity expansion through scheduling.
Specifically, the load balancing control subsystem configures the standby servers with the required machine number for the server through scheduling after determining which specific server cluster needs to be expanded and obtaining the number of machines needed to be added by the server cluster through calculation.
The technical scheme provided by the embodiment of the invention is applied to a data center system comprising a flow monitoring subsystem, a load balancing control subsystem, server clusters and standby servers, wherein the load balancing control subsystem firstly acquires the current cluster network card flow of each server cluster counted by the flow monitoring subsystem, then comparing the current network card flow of the cluster with the preset upper limit flow of the server cluster for each server cluster, if the server cluster needing capacity expansion exists through the comparison (wherein, the current network card flow of the cluster of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster), calculating the number of machines needing to be added of each server cluster needing capacity expansion, and then configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling. That is to say, the technical solution provided in the embodiment of the present invention can automatically configure the standby servers of the number of machines required by the server cluster to be expanded, so that the server cluster to be expanded can effectively respond to a sudden flow request exceeding the rated upper limit flow of the network card of the cluster, thereby effectively ensuring the normal operation of the service.
It should be noted that, in general, the hardware resources of each server cluster in the data center system can meet the requirements of the services arranged thereon on the hardware resources, and even if one server cluster encounters a sudden traffic request exceeding the rated upper limit traffic of the network card of the cluster, by applying the technical solution provided in the embodiment of the present invention, the cluster can effectively respond to the sudden traffic request exceeding the rated upper limit traffic of the network card of the cluster by additionally configuring a small number of standby servers for the server cluster, for example, by additionally configuring one server. In addition, in general, the time points of peak traffic requests occurring in the corresponding services of different server clusters are not the same, that is, it is not necessary to configure backup servers for a plurality of server clusters at the same time, that is, the number of backup servers is generally sufficient. Therefore, the above embodiments of the present invention are directed to the case where the number of standby servers is sufficient, but in case of an unexpected situation where the standby servers are not sufficient, the present invention also has a corresponding method, and the following embodiments are described in detail.
Optionally, the method for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
if the number of standby servers of the data center system is less than the sum of the numbers of machines (determined in step S13) that need to be added to each of the server clusters that need to be expanded, executing step a and step B:
step A, sorting the respective corresponding services of the server cluster needing capacity expansion according to the sequence of the priorities from top to bottom;
specifically, after step a is executed, a result of the prioritization is obtained. For example, the priority of the server cluster 1 to be expanded is higher than that of the server cluster 2 to be expanded, the priority ranking result obtained after ranking in step a is as follows: server cluster 1, server cluster 2.
Step B, scheduling according to the priority sequencing result, and configuring the standby server for the server cluster needing capacity expansion;
optionally, scheduling is performed according to the priority ranking result and a first preset rule, and the standby server is configured for the server cluster needing capacity expansion. Wherein, the first preset rule is as follows: and according to the priority sorting result, preferentially configuring the standby servers with the required machine number for the server cluster which is sorted in the front until the number of the remaining standby servers is smaller than that of the server cluster corresponding to the current order in the priority sorting result, and configuring the remaining standby servers for the server cluster corresponding to the current order.
It should be noted that, the process of executing step B may be to perform scheduling in sequence according to the priority ranking result, or perform scheduling simultaneously after determining the number of each server cluster to be expanded and the number of machines to be configured to the server cluster through pre-calculation.
In the technical solution provided in this embodiment, when the number of the standby servers of the data center system is less than (determined in step S13) the sum of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, that is, the number of the standby servers is not enough, the standby servers can be preferentially configured for the server cluster that needs to be expanded corresponding to the service with a high priority, so that the service with a higher importance can be preferentially ensured to normally operate.
Optionally, the method for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
if the number of standby servers of the data center system is less than the sum of the numbers of machines (determined in step S13) that need to be added to each of the server clusters that need to be expanded, executing step C and step D:
step C, sorting the server clusters needing capacity expansion according to the sequence of the number of machines needing to be increased of the server clusters needing capacity expansion from the largest number to the smallest number;
specifically, after step C is performed, a quantity ordering result is obtained. For example, the number of machines to be added to the server cluster 3 to be expanded is 2, and the number of machines to be added to the server cluster 4 to be expanded is 1, then the number ordering result obtained after the ordering in step C is: server cluster 3, server cluster 4.
Step D, scheduling according to the quantity sequencing result, and configuring the standby server for the server cluster needing capacity expansion;
optionally, scheduling is performed according to the quantity sorting result and a second preset rule, and the standby server is configured for the server cluster needing capacity expansion. Wherein the second preset rule is that: and preferentially configuring the standby servers with the required machine number for the server cluster which is sequenced in the front according to the quantity sequencing result until the number of the remaining standby servers is smaller than that of the server cluster corresponding to the current sequence in the quantity sequencing result, and configuring the remaining standby servers for the server cluster corresponding to the current sequence.
It should be noted that, the process of executing step D may be to sequentially schedule according to the quantity sorting result, or to schedule simultaneously after determining the quantity of each server cluster to be expanded and the number of machines to be configured of the server cluster through pre-calculation.
In the technical solution provided in this embodiment, when the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to the server cluster that needs to be expanded (determined in step S13), that is, the number of the standby servers is not enough, the standby servers can be preferentially configured for the server cluster that needs to be expanded and has a shortage of hardware resources, so that the requirement of the server cluster that needs to be expanded and has a shortage of hardware resources can be preferentially met, the state of the hardware resources being too strained is alleviated, and the situation that the corresponding service is crashed due to the crash of the server cluster that needs to be expanded and has a shortage of hardware resources is avoided.
Optionally, the service priorities corresponding to the server clusters that need capacity expansion are used, or the service priorities are sorted based on the number of machines that need to be added to the server clusters that need capacity expansion, and then scheduling is performed according to the sorting result, so as to configure the standby server for the server clusters that need capacity expansion, that is, scheduling is performed with a high degree of emphasis, so as to configure the standby server for the server clusters that the user thinks are more urgent to need capacity expansion in time according to the user needs. It should be noted that, the standby server may also be obtained fairly by the server cluster that needs to be expanded, see the following embodiments.
Optionally, the method for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
if the number of standby servers of the data center system is less than the sum of the numbers of machines (determined in step S13) that need to be added to each of the server clusters that need to be expanded, executing step E, step F, and step G:
step E, establishing processes for seizing the standby server for each server cluster needing capacity expansion respectively;
specifically, for example, the process for preempting the standby server is created for the server cluster 5 to be expanded as the process 1, and the process for preempting the standby server is created for the server cluster 6 to be expanded as the process 2.
Optionally, the process of preempting the standby server corresponding to each server cluster that needs capacity expansion includes the number of the standby servers that need to be preempted by the server cluster, where the number is equal to the number of machines (of the standby servers) that need to be added by the server cluster.
Step F, starting the process, and preempting the standby server for the server cluster matched with the process;
optionally, a standby server resource pool is pre-established in the load balancing control subsystem, and a process of preempting the standby server corresponding to each server cluster that needs capacity expansion is used for preempting the standby server in the standby server resource pool. Optionally, since the process may not preempt the number of machines that need to be added to the server cluster matched with the process when performing one-time preemption, as long as the number of standby servers to be preempted for the server cluster is smaller than the number of machines that need to be added to the server cluster, the process continues to preempt the standby servers for the server cluster.
Step G, adding the standby server preempted by the process to the server cluster matched with the process through scheduling;
specifically, for example, if a process 1 created for the server cluster 5 seizes the standby server and successfully seizes the standby server 1, the standby server 1 is added to the server cluster 5 by scheduling.
According to the technical scheme provided by the embodiment, the process for preempting the standby server is respectively established for each server cluster needing capacity expansion, the process is used for preempting the standby server for the server cluster matched with the process, and then the standby server preempted by the process is added to the server cluster matched with the process through scheduling according to the preemption result, so that the server cluster needing capacity expansion can obtain the standby server in a fairer mode.
Optionally, the method for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
if the server cluster needing to be restored exists in the expanded server clusters, releasing the standby servers added in the capacity expansion of the server cluster needing to be restored;
specifically, the current network card traffic of the server cluster to be restored is reduced to the preset safety traffic of the server cluster, where the preset safety traffic of the server cluster is determined by the number of machines of the server cluster before capacity expansion. If the preset safe flow of the server cluster is 80% of the rated upper limit flow of the server cluster before capacity expansion, the rated upper limit flow of the server cluster is equal to the sum of the rated upper limit flows of all the network cards of the servers in the server cluster; it should be noted that the value of 80% is only an example, and may be determined according to the actual application requirement, and the present invention is not limited thereto.
Optionally, after the standby servers added during the capacity expansion of the server cluster to be restored are released, the standby server resource pool in the load balancing control subsystem is updated.
According to the technical scheme provided by the embodiment, if the server cluster needing to be restored exists in the expanded server cluster, the standby server added in the expansion process of the server cluster needing to be restored is released, the standby server can be timely recovered, and therefore the standby server can be conveniently configured for other server clusters needing to be expanded.
The relationship between the server cluster and the standby server is explained below with reference to the accompanying drawings. Referring to fig. 3 to 5, fig. 3 is a schematic diagram illustrating a relationship between a server cluster and a standby server when a current cluster network card traffic ratio of each server cluster does not exceed a preset upper limit traffic ratio, fig. 4 is a schematic diagram illustrating a relationship between a server cluster and a standby server when the current cluster network card traffic ratio of the server cluster 1 exceeds the preset upper limit traffic ratio, and fig. 5 is a schematic diagram illustrating a relationship between a server cluster and a standby server when the current cluster network card traffic ratio of the server cluster 1 is restored to the preset safe traffic ratio.
Specifically, as already stated above, the current cluster network card traffic ratio is obtained by dividing the current cluster network card traffic by the rated upper limit traffic of the server cluster; the preset upper limit flow ratio is obtained by dividing the preset upper limit flow by the rated upper limit flow of the server cluster; and the preset safety flow ratio is obtained by dividing the preset safety flow by the rated upper limit flow of the server cluster. As shown in fig. 2 to 4, fig. 2 shows that the network card flow of each cluster is normal, and the standby server is in a standby state; fig. 3 shows that the current network card traffic ratio of the server cluster 1 exceeds the preset upper limit traffic ratio (assumed to be 90%), and the standby server is added to the server cluster 1 after configuration; fig. 4 shows that the current network card traffic ratio of the server cluster 1 is restored to the preset safe traffic ratio, and the standby server previously added to the server cluster 1 is restored to the standby state.
In order to more fully illustrate the technical scheme provided by the invention, the invention discloses an automatic capacity expansion device of a server cluster, which is applied to a load balancing control subsystem in a data center system and corresponds to the automatic capacity expansion method of the server cluster provided by the embodiment of the invention.
Referring to fig. 6, fig. 6 is a structural diagram of an automatic capacity expansion apparatus for a server cluster according to an embodiment of the present invention. As shown in fig. 6, the apparatus includes:
an obtaining module 11, configured to obtain current cluster network card traffic of each server cluster counted by the traffic monitoring subsystem;
the comparison module 12 is configured to compare, for each server cluster, the current cluster network card traffic with the preset upper limit traffic of the server cluster;
the calculation module 13 is configured to determine that there are server clusters that need to be expanded through the comparison, and calculate the number of machines that need to be added to each server cluster that needs to be expanded; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
optionally, the process of calculating, by the calculation module 13, the number of machines to be added to each server cluster that needs to be expanded includes:
for each server cluster needing capacity expansion, calculating a quotient of dividing rated upper limit flow by preset upper limit flow, and subtracting 1 from the product of the quotient and the current cluster network card flow ratio to obtain an adjustment coefficient; the current cluster network card flow ratio is obtained by dividing the current cluster network card flow by the rated upper limit flow;
and calculating the product of the number of the servers in the server cluster and the adjustment coefficient to obtain the number of the machines to be increased.
The first scheduling module 14 is configured to configure the standby servers that respectively need the number of machines for the server cluster that needs capacity expansion through scheduling.
The automatic capacity expansion device for the server cluster provided by the embodiment of the invention can automatically configure the standby servers with the required machine number for the server cluster needing capacity expansion, so that the server cluster needing capacity expansion can effectively respond to the sudden flow request exceeding the rated upper limit flow of the network card of the cluster, thereby effectively ensuring the normal operation of the service.
Optionally, the apparatus for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
and the second scheduling module is configured to, if the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to each of the server clusters that need capacity expansion, sort the services corresponding to each of the server clusters that need capacity expansion according to a sequence of priorities from top to bottom, schedule according to a priority sorting result, and configure the standby servers for the server clusters that need capacity expansion.
Optionally, the apparatus for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
and the third scheduling module is configured to, if the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, sort the server clusters that need to be expanded in order of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, schedule the server clusters that need to be expanded according to the number sorting result, and configure the standby servers for the server clusters that need to be expanded.
Optionally, the apparatus for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
and the fourth scheduling module is used for respectively creating a process for preempting the standby server for each server cluster needing capacity expansion if the number of the standby servers of the data center system is less than the sum of the number of the machines which need to be added to each server cluster needing capacity expansion, starting the process, preempting the standby server for the server cluster matched with the process, and adding the standby server preempting the process to the server cluster matched with the process through scheduling.
Optionally, the apparatus for automatically expanding a server cluster provided in the embodiment of the present invention further includes:
the resource releasing module is used for releasing the standby servers added by the server cluster needing to be restored during capacity expansion if the server cluster needing to be restored exists in the expanded server clusters; and the current cluster network card flow of the server cluster needing to be restored is reduced to the preset safety flow of the server cluster.
In order to more fully explain the technical solution provided by the present invention, the present invention discloses a load balancing control device corresponding to the server cluster automatic capacity expansion method provided by the embodiment of the present invention.
Referring to fig. 7, fig. 7 is a hardware structure diagram of a load balancing control device according to an embodiment of the present invention. As shown in fig. 7, the load balancing control apparatus includes:
a processor 1, a communication interface 2, a memory 3 and a communication bus 4;
wherein, the processor 1, the communication interface 2 and the memory 3 complete the communication with each other through the communication bus 4;
a processor 1 for calling and executing the program stored in the memory;
a memory 3 for storing a program;
the program may include program code comprising computer operating instructions; in an embodiment of the present invention, the program may include: and the server cluster automatic capacity expansion method corresponds to a program.
The processor 1 may be one or more central processing units CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement an embodiment of the invention.
The memory 3 may comprise a high-speed RAM memory and may also comprise a non-volatile memory, such as at least one disk memory.
Wherein the program may be used primarily for:
acquiring the current cluster network card flow of each server cluster counted by the flow monitoring subsystem;
for each server cluster, comparing the current cluster network card flow with the preset upper limit flow of the server cluster;
if the server clusters needing capacity expansion exist through the comparison, calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
and configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling.
The load balancing control device provided by the embodiment of the invention can automatically configure the standby servers with the required machine number for the server cluster needing capacity expansion, so that the server cluster needing capacity expansion can effectively respond to the burst flow request exceeding the rated upper limit flow of the cluster network card, thereby effectively ensuring the normal operation of the service.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores a computer program, and the computer program is used, when being executed by a processor, to execute the steps of the server cluster automatic capacity expansion method according to the foregoing embodiment.
Compared with the prior art, the technical scheme provided by the invention provides the automatic server cluster capacity expansion method and the related equipment. The technical scheme provided by the invention is applied to a data center system comprising a flow monitoring subsystem, a load balancing control subsystem, server clusters and standby servers, wherein the load balancing control subsystem firstly acquires the current cluster network card flow of each server cluster counted by the flow monitoring subsystem, then compares the current cluster network card flow with the preset upper limit flow of the server cluster for each server cluster, determines that the server cluster needing capacity expansion exists (wherein the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster) if the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster), calculates the number of machines needing to be added of each server cluster needing capacity expansion, and then configures the standby servers needing the number of machines for the server cluster needing capacity expansion through scheduling. That is to say, the technical scheme provided by the present invention can automatically configure the standby servers of the number of machines required for the server cluster to be expanded, so that the server cluster to be expanded can effectively respond to the burst flow request exceeding the rated upper limit flow of the network card of the cluster, thereby effectively ensuring the normal operation of the service.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or smart device that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or smart device. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or smart device that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device, the equipment, the system and the storage medium disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (13)

1. The automatic server cluster capacity expansion method is applied to a load balancing control subsystem of a data center system, the data center system further comprises a flow monitoring subsystem, a server cluster and a standby server, and the method comprises the following steps:
acquiring the current cluster network card flow of each server cluster counted by the flow monitoring subsystem;
for each server cluster, comparing the current cluster network card flow with the preset upper limit flow of the server cluster;
if the server clusters needing capacity expansion exist through the comparison, calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling;
the calculating the number of machines to be added to each server cluster needing capacity expansion includes:
for each server cluster needing capacity expansion, calculating a quotient of dividing rated upper limit flow by preset upper limit flow, and subtracting 1 from the product of the quotient and the current cluster network card flow ratio to obtain an adjustment coefficient; the current cluster network card flow ratio is obtained by dividing the current cluster network card flow by the rated upper limit flow;
and calculating the product of the number of the servers in the server cluster and the adjustment coefficient to obtain the number of the machines to be increased.
2. The method of claim 1, wherein if the number of standby servers of the data center system is less than the sum of the number of machines that each of the cluster of servers to be expanded needs to add, the method further comprises:
sequencing the services corresponding to the server clusters needing capacity expansion according to the sequence of the priorities from top to bottom;
and scheduling according to the priority sequencing result, and configuring the standby server for the server cluster needing capacity expansion.
3. The method of claim 1, wherein if the number of standby servers of the data center system is less than the sum of the number of machines that each of the cluster of servers to be expanded needs to add, the method further comprises:
sorting the server clusters needing capacity expansion according to the sequence of the number of machines needing to be increased of the server clusters needing capacity expansion from the maximum number to the minimum number;
and scheduling according to the quantity sequencing result, and configuring the standby server for the server cluster needing capacity expansion.
4. The method of claim 1, wherein if the number of standby servers of the data center system is less than the sum of the number of machines that each of the cluster of servers to be expanded needs to add, the method further comprises:
respectively establishing processes for seizing the standby server for each server cluster needing capacity expansion;
starting the process, and preempting the standby server for the server cluster matched with the process;
and adding the standby server preempted by the process to the server cluster matched with the process through scheduling.
5. The method of claim 1, further comprising:
if the server cluster needing to be restored exists in the expanded server clusters, releasing the standby servers added in the capacity expansion of the server cluster needing to be restored; and the current cluster network card flow of the server cluster needing to be restored is reduced to the preset safety flow of the server cluster.
6. The utility model provides an automatic capacity expansion device of server cluster, is characterized in that, is applied to the load balancing control subsystem of data center system, data center system still includes flow monitoring subsystem, server cluster and standby server, the device includes:
the acquisition module is used for acquiring the current cluster network card flow of each server cluster counted by the flow monitoring subsystem;
the comparison module is used for comparing the current cluster network card flow with the preset upper limit flow of the server cluster for each server cluster;
the calculation module is used for determining that the server clusters needing capacity expansion exist through the comparison and calculating the number of machines needing to be added to each server cluster needing capacity expansion; the current cluster network card flow of the server cluster needing capacity expansion exceeds the preset upper limit flow of the server cluster;
the first scheduling module is used for configuring the standby servers which respectively need the number of machines for the server cluster needing capacity expansion through scheduling;
the process of calculating the number of machines to be added of each server cluster needing capacity expansion by the calculation module specifically includes:
for each server cluster needing capacity expansion, calculating a quotient of dividing rated upper limit flow by preset upper limit flow, and subtracting 1 from the product of the quotient and the current cluster network card flow ratio to obtain an adjustment coefficient; the current cluster network card flow ratio is obtained by dividing the current cluster network card flow by the rated upper limit flow;
and calculating the product of the number of the servers in the server cluster and the adjustment coefficient to obtain the number of the machines to be increased.
7. The apparatus of claim 6, further comprising:
and the second scheduling module is configured to, if the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to each of the server clusters that need capacity expansion, sort the services corresponding to each of the server clusters that need capacity expansion according to a sequence of priorities from top to bottom, schedule according to a priority sorting result, and configure the standby servers for the server clusters that need capacity expansion.
8. The apparatus of claim 6, further comprising:
and the third scheduling module is configured to, if the number of the standby servers of the data center system is less than the sum of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, sort the server clusters that need to be expanded in order of the numbers of the machines that need to be added to each of the server clusters that need to be expanded, schedule the server clusters that need to be expanded according to the number sorting result, and configure the standby servers for the server clusters that need to be expanded.
9. The apparatus of claim 6, further comprising:
and the fourth scheduling module is used for respectively creating a process for preempting the standby server for each server cluster needing capacity expansion if the number of the standby servers of the data center system is less than the sum of the number of the machines which need to be added to each server cluster needing capacity expansion, starting the process, preempting the standby server for the server cluster matched with the process, and adding the standby server preempting the process to the server cluster matched with the process through scheduling.
10. The apparatus of claim 6, further comprising:
the resource releasing module is used for releasing the standby servers added by the server cluster needing to be restored during capacity expansion if the server cluster needing to be restored exists in the expanded server clusters; and the current cluster network card flow of the server cluster needing to be restored is reduced to the preset safety flow of the server cluster.
11. A data center system, comprising:
the system comprises a flow monitoring subsystem, a load balancing control subsystem, a server cluster and a standby server;
the load balancing control subsystem is used for executing the server cluster automatic capacity expansion method of any one of claims 1-5.
12. A load balancing control apparatus, comprising:
a processor and a memory, the processor and memory connected by a communication bus:
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing a program, and the program is at least used for executing the server cluster automatic capacity expansion method of any one of claims 1-5.
13. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for automatic server cluster expansion according to any one of claims 1 to 5.
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