CN110336884B - Server cluster updating method and device - Google Patents
Server cluster updating method and device Download PDFInfo
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- CN110336884B CN110336884B CN201910619033.7A CN201910619033A CN110336884B CN 110336884 B CN110336884 B CN 110336884B CN 201910619033 A CN201910619033 A CN 201910619033A CN 110336884 B CN110336884 B CN 110336884B
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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
- H04L67/01—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
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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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
- H04L67/01—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
- H04L67/1004—Server selection for load balancing
- H04L67/1025—Dynamic adaptation of the criteria on which the server selection is based
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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
- H04L67/01—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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- 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
- H04L67/1048—Departure or maintenance mechanisms
Abstract
The present disclosure provides a server cluster updating method, including: generating a monitoring notice aiming at the server cluster according to the monitoring index; and updating the server cluster according to the monitoring notice. The method and the system can reduce or increase the on-line service under the condition of no perception according to the real-time condition, prevent the server from being paralyzed due to sudden flow swelling and prevent the problem of data loss caused by the downtime of the server, improve the resource utilization rate of the server cluster and reduce the cost.
Description
Technical Field
The present disclosure relates to the field of cloud computing technologies, and in particular, to a server cluster updating method and apparatus, an electronic device, and a computer-readable medium.
Background
At present, with the popularization of the internet, the requirement of internet users on the availability of servers is higher and higher. When a certain event causes the user access amount to increase sharply, the server may have a downtime risk. When a server fails, the existing load balancer cannot dynamically update the server cluster according to real-time conditions, and information loss is easily caused.
Disclosure of Invention
In view of this, a first aspect of the present disclosure is provided, which provides a server cluster updating method, including: generating a monitoring notice aiming at the server cluster according to the monitoring index; and updating the server cluster according to the monitoring notice.
In one embodiment, updating a server cluster based on a monitoring notification includes: if the monitoring notification is to add a server, then: acquiring a first target server; the first target server is added to the server cluster.
In one embodiment, the server cluster updating method further includes: determining availability of a first target server; the server list is updated according to availability.
In one embodiment, updating a server cluster based on a monitoring notification includes: if the monitoring notification is to delete the server, then: determining a second target server according to the monitoring notification; and deleting the second target server in the server cluster.
In one embodiment, the server cluster updating method further includes: monitoring the running condition of the servers in the server cluster in real time; and updating the server cluster according to the operation condition.
In one embodiment, the operating conditions include an initial operating condition and a secondary operating condition, and updating the server cluster according to the operating conditions includes: determining a third target server with abnormal initial operation condition; acquiring a fourth target server; adding a fourth target server to the server cluster; and updating the server cluster according to the secondary operation condition of the third target server.
In one embodiment, updating the server cluster based on the secondary operating condition of the third target server includes: if the secondary operation condition of the third target server is abnormal, deleting the third target server in the server cluster; if the secondary operation condition of the third target server is normal, the method comprises the following steps: when the operation condition of the third target server is detected to be abnormal again, deleting the third target server in the server cluster, or determining a fifth target server meeting the first set condition in the server cluster; and deleting the fifth target server in the server cluster.
According to a second aspect of the present disclosure, there is provided a server cluster updating apparatus, including: a generating unit configured to generate a monitoring notification for the server cluster according to the monitoring index; an update unit configured to update the server cluster according to the monitoring notification.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of the first aspect.
According to a fourth aspect of the present disclosure, there is provided a computer readable medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform a method as the first aspect of the present disclosure.
Compared with the prior art, the monitoring notification is generated according to the real-time condition, the servers are added or deleted based on the monitoring notification, the problem of information loss caused by the fact that the servers are down due to the fact that the access amount is increased sharply can be effectively solved, the resource utilization rate of the server cluster can be improved by reducing the number of the servers when the load is not high, and therefore cost is reduced.
Drawings
FIG. 1 shows a schematic diagram of a server cluster update method according to an embodiment of the present disclosure;
FIG. 2 shows a schematic diagram of a method of updating a server cluster according to a monitoring notification, according to an embodiment of the present disclosure;
FIG. 3 shows a schematic diagram of a method of updating a server cluster according to a monitoring notification, according to another embodiment of the present disclosure;
FIG. 4 is a schematic diagram illustrating a method for updating a server cluster according to server operating conditions, according to an embodiment of the present disclosure;
FIG. 5 shows a schematic block diagram of a server cluster update apparatus according to an embodiment of the present disclosure;
fig. 6 shows a schematic structural diagram of an electronic device for implementing an embodiment of the present disclosure.
Detailed Description
The present disclosure is described below in conjunction with the following figures and detailed description. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure.
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The words "a", "an" and "the" and the like as used herein are also intended to include the meanings of "a plurality" and "the" unless the context clearly dictates otherwise. Furthermore, the terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
The embodiment of the disclosure provides a server cluster updating method, which includes: generating a monitoring notice aiming at the server cluster according to the monitoring index; and updating the server cluster according to the monitoring notice.
According to the embodiment of the disclosure, the monitoring notification is generated according to the monitoring index, and the server cluster is updated based on the monitoring notification, compared with the prior art, the problem of information loss caused by the downtime of the server due to the fact that the access amount is increased sharply can be effectively solved, and meanwhile, the resource utilization rate of the server cluster can be improved by reducing the number of servers when the load is not high, so that the cost is reduced. Embodiments of the present disclosure and their advantages are described in detail below with reference to the accompanying drawings.
Fig. 1 shows a schematic block diagram of a cluster update method 100 according to an embodiment of the present disclosure. The method 100 begins at step 110 by generating a monitoring notification for a cluster of servers based on a monitoring metric. The step can be executed by the monitoring unit, and the monitoring unit acquires the server cluster stored in the load balancing unit and generates a monitoring notice for the server cluster according to the monitoring index. Specifically, weights may be set for 2 or 3 monitoring indexes, an average load condition of each server is calculated by a weighted average method, and a monitoring notification for the server cluster is generated according to the average load condition of each server. Here, the monitoring index may include CPU utilization, Memory utilization, IO consumption, and the like. For example, the server load is calculated through the CPU utilization rate, the Memory utilization rate, and the IO consumption, and corresponding weights are set for the CPU utilization rate, the Memory utilization rate, and the IO consumption index, respectively: 0.3, 0.4 and 0.3, the load value of each server is equal to the CPU utilization rate 0.3+ Memory utilization rate 0.4+ IO consumption 0.3, and the load values of all the servers in the server cluster are averaged to obtain the average load value of the servers. Monitoring the notification may include adding a server and deleting a server, and when the calculated average load value of the server is greater than 75%, generating a notification of adding the server; when the average load is less than 25%, a notification of deleting the server is generated, and the notification of deleting the server includes the ID of the server to be deleted, and the specific method for determining the server ID may be, for example, determining the ID of the server with the smallest load value in the server cluster as the ID of the server to be deleted.
The server cluster is then updated according to the monitoring notification, step 120. Here, if the monitoring notification is that a server is added, adding a server newly to update the server cluster; and if the monitoring notification is the server deletion, deleting the server to update the server cluster.
In this embodiment, the monitoring notification is generated according to the real-time status, and servers are added or deleted based on the monitoring notification, so that the problem of information loss caused by the downtime of the servers due to the sharp increase of the access amount can be effectively avoided, and meanwhile, the resource utilization rate of the server cluster can be improved by reducing the number of the servers when the load is not high, and thus, the cost is reduced.
FIG. 2 shows a schematic diagram of a method 200 for updating a server cluster according to a monitoring notification, according to an embodiment of the present disclosure. In method 200, monitoring for notifications to add servers begins with obtaining a first target server, step 210. The first target server can be applied from the current server provider or can be applied across operators.
Then, at step 220, the first target server is added to the server cluster.
On the basis of the foregoing embodiment, the server cluster updating method further includes:
determining availability of a first target server; the server list is updated according to availability. Specifically, in step 220, after the first target server is deployed successfully, the distributed request is processed, and if the first target server returns success information, the first target server is considered to be available, otherwise, the first target server is considered to be unavailable. If the first target server is available, the first target server is added to the server list to update the server list. An alert is generated if the first target server is unavailable.
In this embodiment, the server list is updated according to the availability of the server, so that the server is maintained better.
FIG. 3 shows a schematic diagram of a method 300 for updating a server cluster according to a monitoring notification, according to an embodiment of the present disclosure. In method 300, the monitoring notification is a delete server, beginning in step 310 with determining a second target server based on the monitoring notification. Here, the ID of the deleted server is included in the monitoring notification, and the second target server may be determined based on the server ID.
Then, at step 320, the second target server in the server cluster is deleted.
In this embodiment, through real-time monitoring, a low-load server is deleted, and the resource utilization rate of the server cluster can be improved, so that the cost is reduced.
On the basis of the foregoing embodiment, the server cluster updating method of the present disclosure further includes:
and monitoring the operation condition of the servers in the server cluster in real time. Here, the operation condition of the server may be, for example, whether the server has failed.
And updating the server cluster according to the operation condition.
In the embodiment, the running state of the server is monitored in real time, and the fault server is deleted in time, so that the available servers are increased, and the reliability of the server cluster is improved.
FIG. 4 shows a schematic diagram of a method 400 for updating a server cluster according to operating conditions, according to an embodiment of the present disclosure. The operational conditions of the servers in method 400 include initial operational conditions and secondary operational conditions. The method 400 begins at step 410 with determining a third target server that has an abnormal initial operating condition. Here, the load balancing unit regularly monitors the health of the servers in the server cluster. The load balancing unit may provide multiple health monitoring modes, for example, a MAC address of a given IP address may be found for sending an ARP request, the load balancing unit configures an IP address of a real server, and sends an ARP request to each IP address to find its corresponding MAC address, and if a server does not respond to an ARP request, the operation status of the server is abnormal. In other embodiments, the health monitoring method may further include sending a "PING" packet to the IP address of each real server, where the "PING" is a common program used to determine whether the IP address exists in the network or whether the host is running, and if the IP address does not exist in the network or the host is not running, the server is not running normally.
Then, at step 420, a fourth target server is obtained. The fourth target server is the new server of the application. The fourth target server can be applied from the current server provider or can be applied across operators. It should be noted that the CPU and Memory metrics of the fourth target server are better than or equal to those of the third target server.
Then, at step 430, a fourth target server is added to the server cluster.
Then, in step 440, the server cluster is updated according to the secondary operating condition of the third target server.
In the embodiment, the health condition of the server is monitored in real time, and the server is added in time according to the health condition, so that the high availability of the server is ensured.
In one embodiment of the present disclosure, updating a server cluster according to a secondary operating condition of a third target server includes:
and if the secondary operation condition of the third target server is abnormal, deleting the third target server on the server cluster. Here, the load balancing unit regularly monitors the health of the servers in the service cluster, and when it is monitored that the third target server is abnormal for the second time, it is determined that the secondary operation status of the third target server is abnormal, and the monitoring method is the same as the health monitoring method described above, which is not described herein again.
And if the secondary operation condition of the third target server is normal, temporarily not deleting the third target server, and deleting the third target server in the server cluster when the operation condition of the third target server is monitored to be abnormal again in the real-time monitoring process. In other embodiments, if the secondary operation condition of the third target server is normal, determining a fifth target server meeting a first set condition in the server cluster; and deleting the fifth target server in the server cluster. Specifically, if the secondary operation condition of the third target server is normal, the bandwidth, delay, jitter, packet loss rate and other indexes of all the servers in the server cluster are monitored, and a first preset condition is set according to the indexes. For example, when the first preset condition is set according to the delay index, the first preset condition may be set to be the maximum delay, and at this time, the server with the maximum delay may be selected as the fifth target server.
In the embodiment, the probability of the downtime of the server is reduced through the real-time health monitoring and deleting strategy of the fault server.
In an embodiment of the present disclosure, the server cluster updating method of the present disclosure further includes:
acquiring historical monitoring data aiming at servers in a server cluster; the historical monitoring data can be the number of the servers added and the number of the servers deleted in each time period in the monitoring period;
determining the time period for adding the server in a centralized manner and the time period for deleting the server in the centralized manner according to historical monitoring data; determining the average increasing number of the servers in the increasing time period of the server set and the average deleting number of the servers in the deleting time period of the servers; the method for determining the time interval increased in the server set may be as follows: training a prediction model based on historical monitoring data; and obtaining the time interval of the increase in the server set and the time interval of the deletion in the server set according to the prediction model. In addition, the average increased number of servers may be an average of all the increased numbers of servers in the increased time period in the server set in the monitoring period. For example, the monitoring period is 1 month, the server increase period is 8:00-9:00, and in the 1 month, the sum of the server increase numbers in the 8:00-9:00 periods is N, so that the average increase number of the servers is N/(days of the month). Similarly, the average number of deletions for a server may also be calculated in the manner described above.
Setting a time increment in advance in a server increment period to be equal to the average increment number of servers; here, the setting time may be set according to actual conditions, for example, 30min, and is not particularly limited herein.
The servers equal to the average number of servers deleted are deleted in the server deletion period.
Specifically, according to different service types, counting the concentrated adding time period and the concentrated deleting time period of the server within a certain period; the period may be 3-6 months of the same period in the last year, and in general, the access request period of the user to the server will present a certain rule, for example, the service requests of traffic class are generally concentrated in 8:00-9:00 in the morning and 5:30-7:00 in the afternoon, and the service requests of game class are concentrated in 9:00-12:00 in the evening. In the time period when the user requests are concentrated, the servers are intensively added under the cooperative monitoring of the monitoring unit and the load balancing unit, and in the time period when the user requests are scattered, the servers are intensively deleted. Taking traffic service as an example, in the 5 th month to 9 th month of the last year, 3 servers are averagely and intensively added to the service cluster at 8:00-9:00 in the morning and 5:30-7:00 in the afternoon every day, 3 servers are intensively added to the service cluster at 00:00-6:00 in the morning, 3 servers are intensively added to the service cluster at 8:00-9:00 in the morning and 5:30-7:00 in the afternoon every day, 3 servers are added to the service cluster at 7:30 in the morning and 5:00 in the afternoon, 3 servers are intensively deleted in the morning and 00-6:00 in the afternoon every day, and 3 servers are simultaneously reduced in the time interval.
In the embodiment, the server cluster is updated in batch by monitoring and counting the historical data, so that the request pressure of the server cluster during the sudden increase of the traffic is relieved, and the high availability of the server is improved.
Fig. 5 illustrates an example block diagram of a server cluster update apparatus 500 according to an embodiment of this disclosure. The server cluster updating apparatus 500 includes: generating unit 510 and updating unit 520.
A generating unit 510 configured to generate a monitoring notification for the server cluster according to the monitoring index. The monitoring unit acquires the server cluster stored in the load balancing unit and generates a monitoring notice aiming at the server cluster according to the monitoring index. Specifically, weights may be set for 2 or 3 monitoring indexes, an average load condition of each server is calculated by a weighted average method, and a monitoring notification for the server cluster is generated according to the average load condition of each server. Here, the monitoring index may include CPU utilization, Memory utilization, IO consumption, and the like. For example, the server load is calculated through the CPU utilization rate, the Memory utilization rate, and the IO consumption, and corresponding weights are set for the CPU utilization rate, the Memory utilization rate, and the IO consumption index, respectively: 0.3, 0.4 and 0.3, the load value of each server is equal to the CPU utilization rate 0.3+ Memory utilization rate 0.4+ IO consumption 0.3, and the load values of all the servers in the server cluster are averaged to obtain the average load value of the servers. Monitoring the notification may include adding a server and deleting a server, and when the calculated average load value of the server is greater than 75%, generating a notification of adding the server; when the average load is less than 25%, a notification of deleting the server is generated, and the notification of deleting the server includes the ID of the server to be deleted, and the specific method for determining the server ID may be, for example, determining the ID of the server with the smallest load value in the server cluster as the ID of the server to be deleted.
An updating unit 520 configured to update the server cluster according to the monitoring notification. Here, if the monitoring notification is that a server is added, a new server is added to update the server cluster; and if the monitoring notification is the server deletion, deleting the server to update the server cluster.
Fig. 6 shows a schematic structural diagram of an electronic device for implementing an embodiment of the present disclosure. As shown in fig. 6, the electronic apparatus 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer-readable medium bearing instructions that, in such embodiments, may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable media 611. The various method steps described in this disclosure are performed when the instructions are executed by a Central Processing Unit (CPU) 601.
Although example embodiments have been described, it will be apparent to those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the disclosed concept. Accordingly, it should be understood that the above-described exemplary embodiments are not limiting, but illustrative.
Claims (10)
1. A server cluster update method, comprising:
generating a monitoring notification for the server cluster according to the monitoring index, including:
acquiring historical monitoring data aiming at servers in a server cluster, wherein the historical monitoring data comprises the number of servers increased and the number of servers deleted in each time period in a monitoring period;
determining the time period for adding the server in a centralized manner and the time period for deleting the server in the centralized manner according to historical monitoring data;
determining the average increasing number of servers in the increasing time period of the server set and the average deleting number of the servers in the deleting time period of the servers;
updating the server cluster according to the monitoring notification, including:
setting a time increment in advance in a server increment period to be equal to the average increment number of servers;
the servers equal to the average number of servers deleted are deleted in the server deletion period.
2. The server cluster updating method of claim 1, wherein updating the server cluster according to the monitoring notification comprises:
if the monitoring notification is an addition of a server, then:
acquiring a first target server;
adding the first target server to the server cluster.
3. The server cluster updating method of claim 2, further comprising:
determining an availability of the first target server;
and updating the server list according to the availability.
4. The server cluster updating method of claim 1, wherein updating the server cluster according to the monitoring notification comprises:
if the monitoring notification is a server deletion, then:
determining a second target server according to the monitoring notification;
deleting the second target server in the server cluster.
5. The server cluster updating method according to any one of claims 1 to 4, further comprising:
monitoring the running condition of the servers in the server cluster in real time;
and updating the server cluster according to the operating condition.
6. The server cluster updating method according to claim 5, wherein the operating conditions include an initial operating condition and a secondary operating condition, and the updating the server cluster according to the operating conditions comprises:
determining a third target server with the abnormal initial operation condition;
acquiring a fourth target server;
adding the fourth target server to the server cluster;
and updating the server cluster according to the secondary operation condition of the third target server.
7. The server cluster updating method according to claim 6, wherein updating the server cluster according to the secondary operation condition of the third target server comprises:
if the secondary operation condition of the third target server is abnormal, deleting the third target server in the server cluster;
if the secondary operation condition of the third target server is normal, then: when the operation condition of the third target server is detected to be abnormal again, deleting the third target server in the server cluster,
or determining a fifth target server meeting a first set condition in the server cluster; and deleting a fifth target server in the server cluster.
8. A server cluster update apparatus, comprising:
a generating unit configured to generate a monitoring notification for a server cluster according to a monitoring index, including: acquiring historical monitoring data aiming at servers in a server cluster, wherein the historical monitoring data comprises the number of servers increased and the number of servers deleted in each time period in a monitoring period; determining the time period for adding the server in a centralized manner and the time period for deleting the server in the centralized manner according to historical monitoring data; determining the average increasing number of servers in the increasing time period of the server set and the average deleting number of the servers in the deleting time period of the servers;
an updating unit configured to update the server cluster according to the monitoring notification, including: setting a time increment in advance in a server increment period to be equal to the average increment number of servers; the servers equal to the average number of servers deleted are deleted in the server deletion period.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.
10. A computer readable medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 7.
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| CN112788101A (en) * | 2020-12-22 | 2021-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Control method, device, terminal and storage medium of server cluster |
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