CN112698714A - Intelligent management method and system for virtual resources when UPS is started - Google Patents
Intelligent management method and system for virtual resources when UPS is started Download PDFInfo
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- CN112698714A CN112698714A CN202011581702.5A CN202011581702A CN112698714A CN 112698714 A CN112698714 A CN 112698714A CN 202011581702 A CN202011581702 A CN 202011581702A CN 112698714 A CN112698714 A CN 112698714A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3234—Power saving characterised by the action undertaken
- G06F1/3287—Power saving characterised by the action undertaken by switching off individual functional units in the computer system
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- G—PHYSICS
- 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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- G—PHYSICS
- 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
- G06F2009/45583—Memory management, e.g. access or allocation
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a method and a system for intelligently managing virtual resources when a UPS is started, wherein the method comprises the following steps: establishing a mapping relation between the virtual resources and the UPS equipment; acquiring real-time monitoring data of virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources; when power failure occurs, acquiring operation data of the UPS equipment in real time, and analyzing the operation data of the UPS equipment of various types to form UPS standardized data; and determining virtual resources to be closed according to the UPS standardized data and the dynamic weight of the virtual resources, and closing the corresponding virtual resources through the virtualization platform. According to the invention, by establishing the unified management platform of the virtual resources and the UPS equipment, the virtual resource allocation and dynamic management during power failure are realized, the electric quantity of the UPS is saved, and the long-time operation of the core virtual resources is ensured.
Description
Technical Field
The invention belongs to the technical field of virtual resource management, and particularly relates to an intelligent management method for virtual resources when a UPS is started.
Background
An Uninterruptible Power Supply (UPS) is an Uninterruptible Power Supply (UPS) that includes an energy storage device. The power supply device is mainly used for providing uninterrupted power supply for partial equipment with higher requirements on power supply stability. When the commercial power input is normal, the UPS supplies the commercial power to the load for use after stabilizing the voltage, and the UPS is an alternating current type voltage stabilizer and also charges the battery in the machine; when the commercial power is interrupted (power failure due to accident), the UPS immediately supplies the direct current electric energy of the battery to the load by continuously supplying 220V alternating current through the method of switching and converting the inverter, so that the load keeps normal work and protects the software and hardware of the load from being damaged. UPS devices typically provide protection against either excessive voltage or insufficient voltage.
At present, a UPS is basically arranged in a large machine room, the electric quantity of the UPS is limited, and the electric quantity of the UPS can be used up after long-time power failure. The server in the machine room is generally virtualized to operate a plurality of virtual machines, and the UPS electric quantity consumption is accelerated by the virtual machines which operate simultaneously when the mains supply is powered off.
At present, most of the mainstream virtual resource management methods for starting the UPS depend on virtualization software, the configuration methods of all virtualization software are different, maintenance and configuration are troublesome, most of small-brand UPSs only have own monitoring programs and generally run on an xp system, few virtual resources can be directly managed by the virtualization software, the importance of all the virtualization resources is different, and the decision of closing the virtualization resources cannot be intelligently performed during power failure.
Disclosure of Invention
In view of this, the present invention provides an intelligent management method and system for virtual resources when a UPS is started, so as to solve the problem that virtual resources cannot be uniformly managed when the UPS is started.
In a first aspect of the present invention, a method for intelligent management of virtual resources when a UPS is enabled is disclosed, the method comprising:
establishing a mapping relation between the virtual resources and the UPS equipment;
acquiring real-time monitoring data of virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources;
when power failure occurs, acquiring operation data of the UPS equipment in real time, and analyzing the operation data of the UPS equipment of various types to form UPS standardized data;
and determining virtual resources to be closed according to the UPS standardized data and the dynamic weight of the virtual resources, and closing the corresponding virtual resources through the virtualization platform.
Preferably, the formula for dynamically assigning the weight is:
wi=(1-C)×(1-R)×K1+K2
wherein, wiRepresenting the weight of different virtual resources, wherein i is a number, C represents the total utilization rate of a CPU, R represents the total utilization rate of a memory, and the total utilization rate of the CPU and the total utilization rate of the memory are the occupancy rates of the virtual resources to the whole virtual platform; k1、K2Respectively representing the cardinality of the virtual resource under different importance degrees.
Preferably, the UPS device operation data includes: the percentage of the remaining battery capacity, the rated voltage, the estimated remaining time, the output voltage, the output frequency, the load power and the UPS temperature.
Preferably, the determining of the virtual resources to be closed according to the UPS standardized data and the dynamic weight of the virtual resources specifically includes:
and presetting a UPS (uninterrupted power supply) residual capacity threshold value and a dynamic weight threshold value of the virtual resources, and when the percentage of the battery residual capacity exceeds the UPS residual capacity threshold value and the dynamic weight of the virtual resources exceeds the dynamic weight threshold value of the virtual resources, taking the corresponding virtual machine as the virtual resources to be closed.
Preferably, the method further comprises: and uploading the virtual resource real-time monitoring data and the UPS equipment operation data acquired in real time to a unified management platform, and performing real-time monitoring and visual display on the virtual resource UPS equipment operation data.
Preferably, the unified management platform sends alarm information when the operation data of the UPS device is abnormal.
In a second aspect of the present invention, an intelligent management system for virtual resources when a UPS is enabled is disclosed, the system comprising:
a unified management platform: the UPS equipment mapping method is used for establishing a mapping relation between virtual resources and the UPS equipment and determining the virtual resources supplied by each UPS equipment; acquiring real-time monitoring data of the virtual resources, performing unified configuration management on the virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources;
UPS data acquisition module: the UPS equipment monitoring system is used for acquiring operation data of the UPS equipment in real time and sending the operation data to the data processing module;
UPS data processing module: the UPS equipment management system is used for analyzing the operation data of the UPS equipment of various models to form UPS standardized data;
and the resource management module is used for determining the virtual resources to be closed according to the UPS standardized data and the dynamic weights of the virtual resources, and closing the corresponding virtual resources through the virtualization platform.
Preferably, in the unified management platform, the formula for dynamically assigning the weight is as follows:
wi=(1-C)×(1-R)×K1+K2
wherein, wiRepresenting the weight of different virtual resources, wherein i is a number, C represents the total utilization rate of a CPU, R represents the total utilization rate of a memory, and the total utilization rate of the CPU and the total utilization rate of the memory are the occupancy rates of the virtual resources to the whole virtual platform; k1、K2Respectively representing the cardinality of the virtual resource under different importance degrees.
Preferably, the resource management module is specifically configured to:
presetting a UPS (uninterrupted power supply) residual capacity threshold value and a dynamic weight threshold value of a virtual resource, taking a corresponding virtual machine as a virtual resource to be closed when the percentage of the battery residual capacity exceeds the UPS residual capacity threshold value and the dynamic weight of the virtual resource exceeds the dynamic weight threshold value of the virtual resource, closing the corresponding virtual resource through a virtualization platform, and sending a notification message, updated virtual resource real-time monitoring data and UPS equipment operation data to a unified management platform.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, a unified management platform of virtual resources and UPS equipment is established, so that virtual resource allocation and dynamic management during power failure are realized, and weights are dynamically allocated to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources; when the machine room is released and the power is off, the virtual resources can be intelligently determined to be closed according to the UPS standardized data and the dynamic weights of the virtual resources, the electric quantity of the UPS is saved, the long-time operation of the core virtual resources is guaranteed, and the virtual resource maintenance process is simplified.
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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 some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for intelligent management of virtual resources when a UPS is enabled according to the present invention;
fig. 2 is a schematic structural diagram of an intelligent management system for virtual resources when a UPS is enabled according to 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 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 obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, the present invention provides a method for intelligent management of virtual resources when a UPS is enabled, the method comprising:
s1, establishing a mapping relation between the virtual resources and the UPS equipment, and determining the virtual resources supplied by each UPS equipment;
s2, acquiring real-time monitoring data of the virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources;
specifically, the importance of the virtual resources can be divided into extremely important, important and unimportant, and the extremely important means that the UPS is not shut down unless the electricity of the UPS is about to be exhausted; important represents that the UPS is closed when the residual power is less; unimportant representatives can be turned off at any time to save the UPS power; first, an importance base number 1 and a base number 2 are set for different virtual resources based on the importance of the different virtual resources, and table 1 is an example of the importance of the virtual resources and the corresponding base numbers 1 and 2.
TABLE 1 importance of virtual resources
And in the running process of the UPS equipment, dynamically allocating weights for different virtual resources according to the importance degree, the corresponding base number 1 and base number 2 and the resource occupation condition of the virtual resources. The formula for dynamically assigning weights is:
wi=(1-C)×(1-R)×K1+K2
wherein, wiRepresenting weights of different virtual resources, i being a number, K1、K2The virtual resources are represented by a base number 1 and a base number 2 under different importance degrees. C represents the total utilization rate of the CPU, R represents the total utilization rate of the memory, and the total utilization rate of the CPU and the total utilization rate of the memory are the occupancy rates of the virtual resources to the entire virtual platform, for example, the CPU utilization rate of a 1-core virtual machine in an 8-core virtual platform is 100%, and then the total utilization rate of the CPU is 1 divided by 8 times 100%, 12.5%; (ii) a
And S3, when power failure occurs, acquiring the operation data of the UPS equipment in real time, and analyzing the operation data of the UPS equipment of various types to form UPS standardized data.
Gather the UPS data of each model of each firm, report when discovering that UPS starts, gather UPS equipment operation data in real time, UPS equipment operation data includes: the percentage of the remaining battery capacity, the rated voltage, the estimated remaining time, the output voltage, the output frequency, the load power and the UPS temperature.
And S4, determining virtual resources to be closed according to the UPS standardized data and the dynamic weights of the virtual resources, and closing the corresponding virtual resources through the virtualization platform.
And presetting a UPS (uninterrupted power supply) residual capacity threshold value and a dynamic weight threshold value of the virtual resources, and when the percentage of the battery residual capacity exceeds the UPS residual capacity threshold value and the dynamic weight of the virtual resources exceeds the dynamic weight threshold value of the virtual resources, taking the corresponding virtual machine as the virtual resources to be closed.
S5, uploading the virtual resource real-time monitoring data and the UPS equipment operation data collected in real time to a unified management platform, performing real-time monitoring and visual display on the virtual resource UPS equipment operation data, and sending alarm information when the UPS equipment operation data is abnormal, such as timely alarm when the UPS temperature is too high, so as to prevent danger.
Referring to fig. 2, the intelligent management system for virtual resources when UPS is enabled according to the present invention constructs a three-layer intelligent management system for virtual resources, which includes a bottom resource layer, a middle service layer, and an upper interaction layer, and the system includes:
a unified management platform: the system is used for acquiring real-time monitoring data of the virtual resources, performing unified configuration management on the virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources; the formula for dynamically assigning weights is:
wi=(1-C)×(1-R)×K1+K2
wherein, wiRepresenting the weight of different virtual resources, wherein i is a number, C represents the total utilization rate of a CPU, R represents the total utilization rate of a memory, and the total utilization rate of the CPU and the total utilization rate of the memory are the occupancy rates of the virtual resources to the whole virtual platform; k1、K2Respectively representing the cardinality of the virtual resource under different importance degrees.
UPS data acquisition module: the UPS equipment monitoring system is used for acquiring operation data of the UPS equipment in real time and sending the operation data to the data processing module;
UPS data processing module: the UPS device management module is used for analyzing the operation data of the UPS devices of various models to form UPS standardized data and transmitting the result to the resource management module
And the resource management module is used for determining the virtual resources to be closed according to the UPS standardized data and the dynamic weights of the virtual resources, and closing the corresponding virtual resources through the virtualization platform.
The resource management module is specifically configured to: presetting a UPS (uninterrupted power supply) residual capacity threshold value and a dynamic weight threshold value of a virtual resource, taking a corresponding virtual machine as a virtual resource to be closed when the percentage of the battery residual capacity exceeds the UPS residual capacity threshold value and the dynamic weight of the virtual resource exceeds the dynamic weight threshold value of the virtual resource, closing the corresponding virtual resource through a virtualization platform, and sending a notification message, updated virtual resource real-time monitoring data and UPS equipment operation data to a unified management platform.
The method embodiment and the system embodiment of the invention are corresponding, and the brief description of the method real-time embodiment is only required to refer to the system embodiment.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A method for intelligent management of virtual resources when UPS is started is characterized by comprising the following steps:
establishing a mapping relation between the virtual resources and the UPS equipment;
acquiring real-time monitoring data of virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources;
when power failure occurs, acquiring operation data of the UPS equipment in real time, and analyzing the operation data of the UPS equipment of various types to form UPS standardized data;
and determining virtual resources to be closed according to the UPS standardized data and the dynamic weight of the virtual resources, and closing the corresponding virtual resources through the virtualization platform.
2. The intelligent management method for virtual resources when the UPS is enabled according to claim 1, wherein the dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupancy of the virtual resources specifically comprises:
setting an importance base number 1 and an importance base number 2 for different virtual resources based on the importance of the different virtual resources;
dynamically distributing weights for different virtual resources according to the importance degree, the corresponding cardinality 1 and cardinality 2 and the resource occupation condition of the virtual resources;
the formula for dynamically assigning weights is:
wi=(1-C)×(1-R)×K1+K2
wherein, wiRepresenting the weight of different virtual resources, wherein i is a number, C represents the total utilization rate of a CPU, R represents the total utilization rate of a memory, and the total utilization rate of the CPU and the total utilization rate of the memory are the occupancy rates of the virtual resources to the whole virtual platform; k1、K2Respectively representing the cardinality of the virtual resource under different importance degrees.
3. The intelligent management method for virtual resources when the UPS is enabled according to claim 1, wherein the UPS device operation data comprises: the percentage of the remaining battery capacity, the rated voltage, the estimated remaining time, the output voltage, the output frequency, the load power and the UPS temperature.
4. The intelligent management method for virtual resources when the UPS is enabled according to claim 3, wherein the determining of the virtual resources to be turned off according to the UPS standardized data and the dynamic weight of the virtual resources specifically comprises:
and presetting a UPS (uninterrupted power supply) residual capacity threshold value and a dynamic weight threshold value of the virtual resources, and when the percentage of the battery residual capacity exceeds the UPS residual capacity threshold value and the dynamic weight of the virtual resources exceeds the dynamic weight threshold value of the virtual resources, taking the corresponding virtual machine as the virtual resources to be closed.
5. The intelligent management method for UPS-enabled virtual resources of claim 4, further comprising:
and uploading the virtual resource real-time monitoring data and the UPS equipment operation data acquired in real time to a unified management platform, and performing real-time monitoring and visual display on the virtual resource UPS equipment operation data.
6. The intelligent management method for virtual resources when the UPS is started according to claim 5, wherein the unified management platform sends alarm information when the operation data of the UPS device is abnormal.
7. A method for intelligent management of virtual resources when UPS is started is characterized by comprising the following steps:
a unified management platform: the system is used for acquiring real-time monitoring data of the virtual resources, performing unified configuration management on the virtual resources, and dynamically allocating weights to the virtual resources based on the importance of the virtual resources and the resource occupation condition of the virtual resources;
UPS data acquisition module: the UPS equipment monitoring system is used for acquiring operation data of the UPS equipment in real time and sending the operation data to the data processing module;
UPS data processing module: the UPS equipment management system is used for analyzing the operation data of the UPS equipment of various models to form UPS standardized data;
and the resource management module is used for determining the virtual resources to be closed according to the UPS standardized data and the dynamic weights of the virtual resources, and closing the corresponding virtual resources through the virtualization platform.
8. The intelligent management method for virtual resources when the UPS is enabled according to claim 7, wherein in the unified management platform, the formula for dynamically assigning the weight is:
wi=(1-C)×(1-R)×K1+K2
wherein, wiRepresenting the weight of different virtual resources, wherein i is a number, C represents the total utilization rate of a CPU, R represents the total utilization rate of a memory, and the total utilization rate of the CPU and the total utilization rate of the memory are the occupancy rates of the virtual resources to the whole virtual platform; k1、K2Respectively representing the cardinality of the virtual resource under different importance degrees.
9. The intelligent management method for virtual resources when the UPS is enabled according to claim 8, wherein the resource management module is specifically configured to:
presetting a UPS (uninterrupted power supply) residual capacity threshold value and a dynamic weight threshold value of a virtual resource, taking a corresponding virtual machine as a virtual resource to be closed when the percentage of the battery residual capacity exceeds the UPS residual capacity threshold value and the dynamic weight of the virtual resource exceeds the dynamic weight threshold value of the virtual resource, closing the corresponding virtual resource through a virtualization platform, and sending a notification message, updated virtual resource real-time monitoring data and UPS equipment operation data to a unified management platform.
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CN117435442A (en) * | 2023-12-21 | 2024-01-23 | 石家庄学院 | Automatic matching monitoring method and system for online computer resources and computing UPS |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130145365A1 (en) * | 2011-12-01 | 2013-06-06 | Tunghai University | Method for managing green power of a virtual machine cluster |
WO2016134542A1 (en) * | 2015-02-28 | 2016-09-01 | 华为技术有限公司 | Virtual machine migration method, apparatus and device |
CN106774813A (en) * | 2017-01-11 | 2017-05-31 | 郑州云海信息技术有限公司 | A kind of dynamic power management system and method |
CN111443791A (en) * | 2020-03-24 | 2020-07-24 | 深信服科技股份有限公司 | UPS monitoring method, equipment, storage medium and device based on cloud platform |
-
2020
- 2020-12-28 CN CN202011581702.5A patent/CN112698714B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130145365A1 (en) * | 2011-12-01 | 2013-06-06 | Tunghai University | Method for managing green power of a virtual machine cluster |
WO2016134542A1 (en) * | 2015-02-28 | 2016-09-01 | 华为技术有限公司 | Virtual machine migration method, apparatus and device |
CN106774813A (en) * | 2017-01-11 | 2017-05-31 | 郑州云海信息技术有限公司 | A kind of dynamic power management system and method |
CN111443791A (en) * | 2020-03-24 | 2020-07-24 | 深信服科技股份有限公司 | UPS monitoring method, equipment, storage medium and device based on cloud platform |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117435442A (en) * | 2023-12-21 | 2024-01-23 | 石家庄学院 | Automatic matching monitoring method and system for online computer resources and computing UPS |
CN117435442B (en) * | 2023-12-21 | 2024-03-12 | 石家庄学院 | Automatic matching monitoring method and system for online computer resources and computing UPS |
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