CN113254162A - Management method for PowerVM virtualization, readable storage medium and cloud management platform - Google Patents
Management method for PowerVM virtualization, readable storage medium and cloud management platform Download PDFInfo
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- CN113254162A CN113254162A CN202110759431.6A CN202110759431A CN113254162A CN 113254162 A CN113254162 A CN 113254162A CN 202110759431 A CN202110759431 A CN 202110759431A CN 113254162 A CN113254162 A CN 113254162A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
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Abstract
According to the management method for the PowerVM virtualization, a cloud management platform comprising a virtual machine management module, a monitoring management module, a load balancing management module and an elastic telescopic group module is constructed on the upper layer of the PowerVM virtualization. The elastic expansion module is internally prestored with a preset expansion strategy: and regulating and controlling the virtual machine by the virtual machine management module according to the data monitored by the monitoring management module. The load balancing management module is used for managing the hardware load balancing equipment, and adding/removing nodes in the hardware load balancing equipment according to the capacity expansion/reduction elastic expansion strategy of the elastic expansion group module. According to the management method for the PowerVM virtualization, the cloud management platform is provided with the load balancing management module and the monitoring module, so that resource monitoring and load balancing are achieved, the elastic expansion strategy is configured, application layer load balancing is achieved by means of the hardware load balancer, and the elastic expansion group function in the PowerVM virtualization environment is achieved.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a management method for PowerVM virtualization, a cloud management platform and a computer readable storage medium.
Background
Cloud computing is a brand new resource providing mode for providing infrastructure as virtualized resources to the outside through a network. IBM corporation provides PowerVM virtualization services on Power processor-based minicomputer hardware platforms to implement reliable, highly secure, and extensible cloud computing platforms (referred to as "PowerVM cloud platforms"). The core problem of the cloud computing technology is resource management of a cloud platform, and the aim is to enable the cloud computing platform to efficiently process user tasks through reasonable scheduling of resources. At present, some elastic expansion group schemes have been proposed in the market to solve the problem of cloud platform resource management, but because the functional points available by the PowerVM virtualization itself are limited, and the PowerVM cloud platform itself lacks the resource monitoring and load balancing functions for the virtualization layer, the elastic expansion group schemes proposed in the market cannot be directly applied to the PowerVM cloud platform, but can only be applied to cloud platforms implemented based on virtualization technologies such as KVM, VMware, and the like.
Disclosure of Invention
The inventor thinks that the elastic expansion group function is mainly to set an elastic expansion strategy of timing, period and expansion according to performance parameters on an application service of load balance on a cloud platform, and dynamically add and delete nodes through the elastic expansion strategy to realize the elastic expansion of the application, thereby automatically calculating and adjusting customer resources. Although the PowerVM virtualization does not support the load balancing realized in a software mode, the resource management of the PowerVM virtualization can be realized in an external hardware load balancer mode, and the resource monitoring and the load balancing management of the virtualization layer can be realized automatically by combining the software resource monitoring of the cloud management platform on the upper layer of the PowerVM virtualization.
The invention provides a management method for PowerVM virtualization, which aims to solve the problem of elastic expansion of PowerVM virtualization resources.
The management method for the virtualization of the PowerVM comprises the steps that a cloud management platform is built on the upper layer of the virtualization of the PowerVM, the cloud management platform comprises a virtual machine management module and a monitoring management module, the virtual machine management module is used for regulating and controlling a virtual machine, the monitoring management module is used for monitoring hardware data and virtual machine data of the virtualization of the PowerVM, a load balancing management module and an elastic telescopic group module are built, a preset telescopic strategy is stored in the elastic telescopic group module in advance, and the telescopic strategy refers to the step that the virtual machine management module regulates and controls the virtual machine according to data obtained by monitoring of the monitoring management module; and the load balancing management module adds/removes nodes in the hardware load balancing equipment according to the capacity expansion/reduction elastic expansion strategy of the elastic expansion group module, so as to manage the hardware load balancing equipment.
Preferably, the virtual machine management module executes one or more of creation, deletion, resource adjustment, startup, shutdown, and saving another template of the virtual machine.
Preferably, the method further comprises creating a template: copying the current virtual machine to obtain a virtual machine template, and recording the configuration of an elastic expansion group of the virtual machine template; if the expansion strategy is the expansion elastic expansion strategy of the elastic expansion group to which the virtual machine belongs, the configuration of the elastic expansion group is verified, and the virtual machine template is called to obtain the added virtual machine.
Preferably, the hardware load balancing device is specifically an F5 device.
Preferably, the monitoring management module acquires one or more of mainstream network equipment, a physical server, a virtualization server, a database, a fault of middleware, an application process and performance data through autonomous collection and/or third-party system integration.
Preferably, the hardware data includes one or more of physical processor information, physical memory information, network card, temperature, fan status, and power status.
Preferably, the virtual machine data includes one or more of CPU, memory, power state, and operating system application.
There is also provided a computer-readable storage medium storing a computer program that, when executed by a processor, is capable of implementing the above-described management method for PowerVM virtualization.
The cloud management platform comprises a virtual machine management module, a monitoring management module, a load balancing management module, an elastic expansion group module and the computer readable storage medium, wherein a computer program on the computer readable storage medium can be executed by a processor.
Has the advantages that: the management method of PowerVM virtualization is applied to a cloud management platform, the cloud management platform comprises a processor, a virtual machine management module, a load balancing management module, a monitoring management module and an elastic expansion group module, the virtual machine management module, the load balancing management module, the monitoring management module and the elastic expansion group module are respectively communicated with the processor, the monitoring management module monitors hardware and virtual machine VM data virtualized by the PowerVM and transmits the data obtained by monitoring to the cloud management platform processor, the cloud management platform processor classifies the received data, selects elastic expansion related data and transmits the elastic expansion related data to the elastic expansion group module, the elastic expansion group module calls a preset expansion strategy according to the received elastic expansion related data and transmits the expansion strategy to the load balancing management module, or feeds the expansion related data back to the cloud management platform processor and transmits the data to the load balancing management module by the cloud platform processor, and the load balancing management module increases/removes hardware load according to expansion/volume reduction elastic expansion strategy of the elastic expansion group module And balancing the nodes in the equipment, thereby realizing the function of the elastic expansion group in the PowerVM virtualization environment.
Drawings
Fig. 1 is an architecture diagram of the cloud pipe platform created by the present invention.
FIG. 2 is an alarm processing level diagram of the monitoring module created by the present invention.
FIG. 3 is a flow chart of the elastic warp group creation process created by the present invention.
Detailed Description
The invention is described in further detail below with reference to specific embodiments.
The cloud management platform (as shown in fig. 1) of this embodiment is an upper management platform that is constructed on the upper layer of the PowerVM virtualization (layer) and manages the PowerVM virtualization (layer), and includes a processor, and a virtual machine management module, a template management module, a load balancing management module, a monitoring management module, a custom script management module (FTP server), and an elastic expansion group module that are respectively in communication with the processor. The monitoring management module monitors and processes PowerVM virtualized hardware and VM data of a virtual machine, the data obtained through monitoring and processing are transmitted to the cloud pipe platform processor, the cloud pipe platform processor classifies and processes received data, elastic expansion related data are screened and sent to the elastic expansion group module, the elastic expansion group module calls a preset expansion strategy according to the received elastic expansion related data and transmits the preset expansion strategy to the load balancing management module, or the elastic expansion related data are fed back to the cloud pipe platform processor and then transmitted to the load balancing management module by the cloud platform processor, the load balancing management module increases/removes nodes in the hardware load balancing device according to the expansion/reduction elastic expansion strategy of the elastic expansion group module, and therefore management of the hardware load balancing device is achieved. In addition, the virtual machine management module regulates and controls the virtual machine according to the data monitored by the monitoring management module.
The operation of each module is specifically described below.
Virtual machine management
The virtual machine management realizes the management of the life cycle of the virtual machine in the Powervm virtualization, and comprises the following steps: creating and deleting a virtual machine, adjusting resources, starting up, shutting down, storing templates and the like. The virtual machine management is a basic function of the cloud platform, and is not described herein.
Second, template management
The virtual machine template mainly refers to the virtual machines with the same configuration, and the virtual machine template management module realizes the unified management of the virtual machine template. The configuration of the running virtual machine instances in the same group of the elastic expansion group needs to be the same, so that the virtual machines in the group are firstly determined to be created by using which template during capacity expansion, and the virtual machine instances with the same configuration as that in the expansion group can be quickly created by using a specific module during sub-capacity expansion. The virtual machine template management module can execute the operation of saving the virtual machine as a template, namely, completely copying the current virtual machine to generate a virtual machine template, and then creating the virtual machine with the same configuration by using the template, wherein the created virtual machine is completely the same as the previous virtual machine.
Load balancing management
Load balancing refers to a method for realizing load sharing through some algorithm. The load balance is a set of servers formed by a plurality of servers in a symmetrical manner, each server has an equivalent status, and can provide services to the outside independently without the assistance of other servers. By means of load sharing technology, externally sent requests are distributed homogeneously to one server in symmetrical structure, and the server receiving the requests responds to the client's request independently. In this embodiment, an F5 device is used as a hardware load balancing device, and the load balancing of the F5 device is configured, that is, the Node (Node), Pool (resource Pool), and Virtual Server (Virtual Server) parameters of the device are adjusted.
The Virtual Server of the F5 device is responsible for uniformly receiving all request traffic from the cloud management platform processor, and then distributing the requests to all Pool members in the load balancing group according to a set algorithm, so as to implement balanced distribution of the requests (loads).
The load balancing Pool is a collection of servers capable of processing requests, in this embodiment, a scaling group is created and corresponds to a Pool in the F5 device, and a virtual machine of the scaling group corresponds to a Node of F5, where the Node represents an IP address of a real server on the network.
The load balancing management module is used for realizing management of a load balancer of the hardware F5 equipment, providing a nano-tube for the F5 equipment, connecting the F5 hardware equipment in an SSH mode, and configuring parameters of the load balancer Node (Node), Pool (resource Pool) and Virtual Server (Virtual Server) and the relationship among the parameters by using command line operation. The load balancer manages and provides load capacity for the elastic expansion and contraction group, and when one virtual machine is added to the elastic expansion and contraction group in an expansion mode, a node needs to be added to a Pool of the hardware device F5 correspondingly. When the resize group reduces the volume to delete one virtual machine, it needs to notify the hardware device F5 that a Pool removes the corresponding node accordingly.
Fourth, monitoring management
In this embodiment, the cloud management platform processor monitors the virtualization of the PowerVM by using an open source Zabbix project (or other known projects, which are not described herein), and fault, application process, and performance data acquisition of the mainstream network device, the physical server, the virtualization server, the database, and the middleware are realized in an autonomous acquisition or third-party system integration manner. Specifically, hardware state data (parameters such as physical processor information, physical memory information, network cards, temperatures, fan states, Power states and the like) of the Power small-sized computer are collected, data (types such as CPU, memories, Power states, operating system applications and the like) of the virtual machine are collected, corresponding alarm information is generated according to the collected data analysis, and the cloud management platform is informed, so that the telescopic group is triggered to execute relevant strategies configured by the cloud platform.
Referring to fig. 2, the monitoring management module performs intelligent alarm processing according to a historical database or control data obtained by pre-calculation: centralized alarm management is carried out on virtualization conventional alarm events such as SNMP Trap, Syslog and the like and threshold events generated by performance indexes, alarm shielding, suppression, content enrichment and automatic closing are achieved, a message mechanism is used for notifying a cloud management platform at the first time, and the cloud platform drives a telescopic group to execute corresponding capacity expansion and volume reduction actions.
Fifthly, self-defined script management
The user-defined scripts are stored through custom script management, the scripts are stored in the FTP server through uploading, the cloud management platform remotely operates the virtual machines, corresponding scripts are actively downloaded from the FTP server in the operating system of the virtual machines, the execution scripts are operated in the operating system, virtualization instances (virtual machines) of different telescopic groups are connected with one another, and a complete application cluster is constructed.
Management of elastic telescopic group
And the management of creating, modifying, deleting and the like of the elastic telescopic group is realized. Monitoring whether the utilization rate of parameters such as a CPU (Central processing Unit), a memory, network flow and the like of the virtual machine instances of the telescopic group exceeds a threshold value or not through a monitoring module according to a strategy preset by a user, and automatically calling a virtual machine management module by combining F5 load balancer management, script management and a template management module when the utilization rate of the parameters meets the threshold value configured by the user to perform online resource adjustment or virtual machine instance number expansion and reduction adjustment on the virtual machine instances of the telescopic group.
The cloud management platform of this embodiment manages the elastic scaling group in the PowerVM virtualization by the following management method of the PowerVM virtualization.
(1) Creating elastic expansion groups
Referring to fig. 3, the elastic scaling group management module of the cloud management platform implements creation of an elastic scaling group from three aspects of template management, F5 load balancing configuration, and script setting.
1. And designating a virtual machine as a source virtual machine, judging whether the cloud management platform stores a template of the virtual machine, if so, storing the relation between the telescopic group and the template, and if not, storing the source virtual machine as another template so as to obtain a new template.
2. And uploading the running script of the virtual machine on the specified source virtual machine, uploading the applied script to the FTP server, and storing the relation between the telescopic group and the script position in a database so as to verify/call the script.
3. And appointing F5 equipment load balancing configuration in a source virtual machine with configured running scripts, prompting a client to input parameters such as elastic expansion group threshold values and member ports in a preset trigger window, or automatically acquiring elastic expansion related parameters through a monitoring module, and then configuring the relationship between elastic expansion and load balancing through a preset strategy. Specifically, after acquiring the IP, the user name, and the password of the F5 device server, a command line is transmitted through the SHH connection, so as to control the F5 device to perform load balancing: creating Pool in F5 device, creating Node with source Virtual machine IP as source host IP, adding the Node as member into the created Pool, configuring the association between the Pool and Virtual Server, storing to obtain the Pool and Node with fixed relation with elastic expansion group, and completing the creation of elastic expansion group.
(2) Has the requirement of elastic expansion
And after the elastic expansion group is established, elastic expansion is carried out according to the received alarm signal of the monitoring module. The alarm signal has two types of over-high load and over-low load, and elastic expansion and contraction are respectively needed to be correspondingly carried out.
1. If the load is too high, then the capacity expansion strategy is expected to be executed. Analyzing whether the current virtual machine instance number reaches the maximum telescopic group setting number: if not, the number of the virtual machines is vacant, a new virtual machine can be added, and a virtual machine template corresponding to the telescopic group and the available IP of the current network segment are obtained. Creating a virtual machine with the same configuration, configuring an application script for the virtual machine, for example, triggering the internal of an operating system of the virtual machine to download the script from the FTP and execute the script, then connecting an F5 device execution command line through SHH, newly creating a Node by using the current IP, adding the Node as a member into the Pool of the elastic expansion group, and completing the expansion adjustment of the current expansion after the relations among the Pool, the Node and the elastic expansion group are saved; if the current virtual machine number cannot be increased, the current virtual machine number is changed into the internal resource adjustment configuration of the virtual machine, one virtual machine which is lowest configured in the elastic telescopic group is obtained to perform online adjustment configuration on the virtual machine, and CPU and memory resources are distributed to the virtual machine, so that telescopic adjustment is completed.
2. If the load is too low, then a compatible policy is expected to be implemented. And deleting the virtual machine which is lowest in configuration and is created at the latest in the group, and if the virtual machine and the virtual machine conflict, preferentially deleting the virtual machine of which the CPU and the memory are the lowest in configuration. And deleting the Node corresponding to the IP of the virtual machine by connecting an SHH with an F5 device execution command line, and updating the relation among the Pool, the Node and the elastic expansion group to complete the expansion adjustment of the current volume reduction.
The management method for the PowerVM virtualization configures the load balancing management module and the monitoring module through the cloud management platform, so that the precondition of the elastic expansion group is realized: resource monitoring and load balancing, and then configuring an elastic scaling strategy (the elastic scaling strategy can completely adopt a scaling strategy similar to a virtualization environment, which is not described in this embodiment), and implementing application layer load balancing by means of a hardware load balancer, thereby implementing an elastic scaling group function in a PowerVM virtualization environment.
The above description is only the embodiments of the present invention, and the scope of protection is not limited thereto. The insubstantial changes or substitutions will now be made by those skilled in the art based on the teachings of the present invention, which fall within the scope of the claims.
Claims (9)
- The management method of the PowerVM virtualization is characterized in that a load balancing management module and an elastic telescopic group module are constructed, a preset telescopic strategy is stored in the elastic telescopic group module in advance, and the telescopic strategy refers to a step that the virtual machine management module regulates and controls a virtual machine according to data monitored by the monitoring management module; and the load balancing management module adds/removes nodes in the hardware load balancing equipment according to the capacity expansion/reduction elastic expansion strategy of the elastic expansion group module, so as to manage the hardware load balancing equipment.
- 2. The method of managing PowerVM virtualization of claim 1, wherein the VM management module performs one or more of virtual machine creation, deletion, resource adjustment, power on, power off, and save templates.
- 3. The method of managing PowerVM virtualization of claim 1, further comprising creating a template: copying the current virtual machine to obtain a virtual machine template, and recording the configuration of an elastic expansion group of the virtual machine template; if the expansion strategy is the expansion elastic expansion strategy of the elastic expansion group to which the virtual machine belongs, the configuration of the elastic expansion group is verified, and the virtual machine template is called to obtain the added virtual machine.
- 4. The method of managing virtualization of a PowerVM of claim 1, wherein the hardware load balancing device is specifically an F5 device.
- 5. The management method for PowerVM virtualization of claim 1, wherein the monitoring management module obtains one or more of mainstream network equipment, physical servers, virtualization servers, databases, middleware failures, application processes and performance data through autonomous collection and/or third party system integration.
- 6. The method of managing PowerVM virtualization of claim 5, wherein the hardware data comprises one or more of physical processor information, physical memory information, network cards, temperature, fan status, and power status.
- 7. The method of managing PowerVM virtualization of claim 5 or 6, wherein the virtual machine data comprises one or more of CPU, memory, power state, operating system applications.
- 8. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, is capable of implementing the management method for virtualization of a PowerVM according to any of claims 1 to 7.
- 9. The cloud management platform comprises a virtual machine management module and a monitoring management module, and is characterized by further comprising a load balancing management module and an elastic scaling group module and a computer readable storage medium according to claim 8, wherein a computer program on the computer readable storage medium can be executed by a processor.
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