CN112052287A - Centralized management method, device and system for data center cluster - Google Patents
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Abstract
The embodiment of the application provides a centralized management method, a device and a system for a data center cluster, wherein the data center cluster comprises a plurality of data centers, and the method comprises the following steps: acquiring environmental control data of at least one data center in the data center cluster; converting the obtained environment control data into standardized environment control data according to a preset environment control data standard; and classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data. According to the embodiment of the application, the headquarters in the prior art can automatically acquire the data of each data center in real time, so that the efficiency of acquiring the data of each data center machine room environmental control system by the headquarters is high.
Description
Technical Field
The embodiment of the application relates to the field of environment control systems, in particular to a centralized management method, a centralized management device and a centralized management system for a data center cluster.
Background
Data centers are globally collaborative devices of a particular network used to communicate, accelerate, present, compute, store data information over an internet network infrastructure. In order to ensure the safety and reliability of the data center during operation, a ring control system is arranged in each machine room of the data center. Because the environmental control system of each data center needs the supplier of the environmental control system to provide the interface for transmitting data, and the technical capability of the interface standardization of each supplier is greatly different. Therefore, when the headquarters acquires the data of the environmental control systems of the respective data centers, the staff manually transmits the data of the environmental control systems of the respective data centers to the respective data centers.
However, in the current method for transmitting the data of each environmental control system to each data center by the staff, the data needs to be acquired to each data center, and the headquarters cannot automatically acquire the data of each data center in real time, so that the efficiency of acquiring the data of each environmental control system of the data center room by the headquarters is low.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, and a system for centralized management of a data center cluster, so as to overcome or alleviate the above technical problems in the prior art.
In a first aspect of the embodiments of the present application, a method for centralized management of a data center cluster is provided, where the data center cluster includes a plurality of data centers, and the method includes:
acquiring environmental control data of at least one data center in the data center cluster;
converting the obtained environment control data into standardized environment control data according to a preset environment control data standard;
and classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data.
Optionally, in an embodiment of the first aspect of the present application, before the obtaining the environmental control data of at least one data center in the data center cluster, the method includes: monitoring the environmental control data of at least one data center in the data center cluster;
the acquiring the environmental control data of at least one data center in the data center cluster comprises: and acquiring the monitored environmental control data of at least one data center in the data center cluster.
Optionally, in an embodiment of the first aspect of the present application, the obtained environment control data includes environment control performance data and environment control alarm data, and the environment control alarm data;
the standardized environmental control data comprises standardized environmental control performance data and standardized environmental control alarm data, and the importance degree of the standardized environmental control performance data is smaller than that of the standardized environmental control alarm data;
the classifying and storing the standardized environmental control data into different databases according to the importance degree of the data comprises the following steps: and according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, and performing warehouse-out or warehouse-in processing on the standardized environmental control alarm data.
Optionally, in an embodiment of the first aspect of the present application, the performing, according to the importance degree of the data, persistent caching processing on the standardized environmental control performance data and performing ex-warehouse or in-warehouse processing on the standardized environmental control alarm data includes: according to the importance degree of the data, the standardized environmental control performance data is cached in a redis database in a persistent mode, and the standardized environmental control alarm data is subjected to warehouse-out or warehouse-in processing.
Optionally, in an embodiment of the first aspect of the present application, the onlooker alarm data includes at least one of first onlooker alarm data indicating alarm elimination and second onlooker alarm data generated by table alarm;
the processing of persistent cache of the standardized environmental control performance data and the processing of warehouse-out or warehouse-in of the standardized environmental control alarm data according to the importance degree of the data comprises the following steps: according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, performing warehousing processing on the second environmental control alarm data to store the second environmental control alarm data in an mq database, and/or performing ex-warehouse processing on the first environmental control alarm data to delete the first environmental control alarm data from the mq database.
Optionally, in an embodiment of the first aspect of the present application, the method further includes: and transmitting the standardized environmental control performance data cached in the redis database in a batch mode into the mq database.
Optionally, in an embodiment of the first aspect of the present application, the method further includes:
acquiring configuration data of at least one data center in the data center cluster;
converting the acquired configuration data into standardized configuration data according to a preset configuration data standard;
storing the standardized configuration data in a configuration database.
Optionally, in an embodiment of the first aspect of the present application, the method further includes: bulk transferring the standardized configuration data stored in the configuration database into the mq database.
Optionally, in an embodiment of the first aspect of the present application, the method further includes: and predicting the energy consumption of at least one data center in the data center cluster according to the established energy consumption prediction model so as to optimize the refrigeration strategy of the data center cluster.
In a second aspect of the embodiments of the present application, a centralized management apparatus for a data center cluster is provided, where the data center cluster includes a plurality of data centers, and the apparatus includes:
the acquisition unit is used for acquiring the environmental control data of at least one data center in the data center cluster;
the conversion unit is used for converting the acquired environmental control data into standardized environmental control data according to a preset environmental control data standard;
and the storage management unit is used for classifying the standardized environmental control data according to the importance degree of the data and carrying out storage management.
A third aspect of the embodiments of the present application provides a centralized management system for a data center cluster, where the data center cluster includes a plurality of data centers, and the system includes: the data center environment control system is configured in the local of at least one data center in the data center cluster, and the centralized environment control system is configured in the cloud end; wherein:
the data center environment control system at least comprises a data acquisition device, and the data acquisition device is used for acquiring environment control data of at least one data center in the data center cluster;
the centralized control system is used for acquiring the environment control data of at least one data center in the data center cluster; converting the obtained environment control data into standardized environment control data according to a preset environment control data standard; and classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data.
Optionally, in an embodiment of the third aspect of the present application, the data center environmental control system further includes a data monitoring device, where the data monitoring device is configured to monitor environmental control data of at least one data center in the data center cluster;
the data acquisition device is further used for acquiring the environmental control data of at least one data center in the data center cluster monitored by the data monitoring device;
the centralized control system is further used for acquiring the monitored environment control data of at least one data center in the data center cluster.
Optionally, in an embodiment of the third aspect of the present application, the obtained environment control data includes environment control performance data and environment control alarm data, and the environment control alarm data correspondingly includes standardized environment control performance data and standardized environment control alarm data, and the standardized environment control performance data is less important than the standardized environment control alarm data;
the centralized environmental control system is further used for carrying out persistent caching processing on the standardized environmental control performance data and carrying out warehouse-in or warehouse-out processing on the standardized environmental control alarm data according to the importance degree of the data.
Optionally, in an embodiment of the third aspect of the present application, the centralized environmental control system is further configured to persistently cache the standardized environmental control performance data in a redis database according to the importance degree of the data, and perform ex-warehouse or in-warehouse processing on the standardized environmental control alarm data.
Optionally, in an embodiment of the third aspect of the present application, the onlooker alarm data includes at least one of first onlooker alarm data indicating alarm elimination and second onlooker alarm data generated by table alarm;
the centralized control system is further used for performing persistent caching processing on the standardized environmental control performance data according to the importance degree of the data, performing warehousing processing on the second environmental control alarm data to store the second environmental control alarm data in an mq database, and/or performing ex-warehouse processing on the first environmental control alarm data to delete the first environmental control alarm data from the mq database.
Optionally, in an embodiment of the third aspect of the present application, the centralized ring control system is further configured to bulk-transfer the standardized ring control performance data cached in the redis database in a persistent manner to the mq database.
Optionally, in an embodiment of the third aspect of the present application, the centralized control system is further configured to obtain configuration data of at least one data center in the data center cluster; converting the acquired configuration data into standardized configuration data according to a preset configuration data standard; and storing the standardized configuration data in a configuration database.
Optionally, in an embodiment of the third aspect of the present application, the centralized control system is further configured to bulk-transfer the standardized configuration data stored in the configuration database into the mq database.
Optionally, in an embodiment of the third aspect of the present application, the system further includes: and the energy consumption prediction device is used for predicting the energy consumption of at least one data center in the data center cluster according to the established energy consumption prediction model so as to optimize the refrigeration strategy of the data center cluster.
In the embodiment provided by the application, the environmental control data of at least one data center in the data center cluster is acquired; converting the obtained environment control data into standardized environment control data according to a preset environment control data standard; according to the importance degree of the data, the standardized environmental control data are classified and stored and managed, so that the headquarters in the prior art can automatically acquire the data of each data center in real time, and the efficiency of acquiring the data of the environmental control systems of the machine rooms of each data center by the headquarters is high.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1A is a schematic structural diagram of a centralized management system of a data center cluster in an embodiment of the present application;
fig. 1B is a schematic structural diagram of a centralized management system of another data center cluster in the embodiment of the present application;
fig. 1C is a schematic structural diagram of a centralized management system of another data center cluster in the embodiment of the present application;
fig. 2 is a schematic flowchart of a centralized management method for a data center cluster in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a centralized management apparatus of a data center cluster in an embodiment of the present application;
Detailed Description
It is not necessary for any particular embodiment of the invention to achieve all of the above advantages at the same time.
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of the protection of the embodiments in the present application.
The following further describes specific implementations of embodiments of the present application with reference to the drawings of the embodiments of the present application.
Fig. 1A is a schematic structural diagram of a centralized management system of a data center cluster in an embodiment of the present application; the data center cluster includes a plurality of data centers, and as shown in fig. 1A, the system includes: the data center environment control system is configured in the local of at least one data center in the data center cluster, and the centralized environment control system is configured in the cloud end; the centralized environmental control system of the cloud is located at the headquarters recorded in the background technology, and the data center of the data center cluster can be a machine room established nationwide or even globally by an operator.
The data center environment control system at least comprises a data acquisition device, and the data acquisition device is used for acquiring environment control data of at least one data center in the data center cluster. The environmental control data includes at least one of power, water resources, fire protection, and facility safety data.
For example, the data acquisition device may acquire the environmental control data in real time according to a set data acquisition mechanism, and if the acquisition fails within a preset time period, trigger a data re-acquisition mechanism to know the acquired environmental control data.
The centralized control system is used for acquiring the environment control data of at least one data center in the data center cluster; converting the obtained environment control data into standardized environment control data according to a preset environment control data standard; and classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data. Specifically, in a specific implementation, by issuing a standard interface, suppliers of different data centers use a uniform interface to write a program of the standard interface, thereby implementing the environment control data standard.
For example, in normalization, the collected environmental control data is scaled to fall into a small specific interval, specifically, for example, the data is uniformly mapped onto the [0,1] interval, and a common method for normalizing the data is as follows: min-max normalization (Min-max normalization), log function transformation, atan function transformation, z-score normalization (zero-mean normalization), fuzzy quantization.
Fig. 1B is a schematic structural diagram of a centralized management system of another data center cluster in the embodiment of the present application; on the basis of fig. 1A, the data center environmental control system further includes a data monitoring device (e.g., a data monitor), where the data monitoring device is configured to monitor environmental control data of at least one data center in the data center cluster. In one implementation, a path of a transmission line main inlet/UPS/UPS output/column head cabinet/cabinet of at least one data center is monitored; one path of the environment temperature and humidity/precision air conditioner and one path of the water pump resource utilization are counted, and the environmental control data on the three key paths are counted. In one implementation, the data monitoring device serves, for example, rest in a data center environmental control system.
In this embodiment, in order to facilitate the monitoring of the transmission line main incoming/UPS output/column head cabinet/cabinet path, configuring a monitoring path configuration index table on the data center cluster, configuring a monitoring path sequence in the monitoring path configuration index table according to the monitored path level and addresses of transmission line main input/UPS inlet/UPS/UPS output/column head cabinet/cabinet in each level of monitoring path, therefore, during monitoring, the monitoring path sequence and the addresses of the transmission line main inlet/UPS/UPS output/column head cabinet/cabinet in each level of monitoring path can be obtained by analyzing the monitoring path configuration index table, monitoring of the looped data is performed by the sequence and the addresses of the transmission line main entrance/UPS incoming/UPS output/column head cabinet/cabinet.
Further, corresponding sensors may be installed on the monitored path to monitor corresponding environment control data, and for this reason, the positions of the sensors of each level of path may be added in the monitoring path configuration index table, and the positions of the sensors may be obtained by analyzing the monitoring path configuration index table, and the environment control data may be monitored by directly reading data from the sensors.
Optionally, in this embodiment, the data acquisition device is further configured to acquire environment control data of at least one data center in the data center cluster monitored by the data monitoring device, so as to improve the efficiency of data transmission.
Optionally, in this embodiment, the centralized control system is further configured to acquire monitored environment control data of at least one data center in the data center cluster, so as to ensure accuracy of the environment control data.
Optionally, in this embodiment, the acquired environment control data includes environment control performance data and environment control alarm data; correspondingly, the standardized environmental control data comprises standardized environmental control performance data and standardized environmental control alarm data, and the importance degree of the standardized environmental control performance data is smaller than that of the standardized environmental control alarm data; emergency criteria for the ring alert data such as a data center are: in the high-medium-low data center, the emergency standard of the environment-friendly alarm data of the data center B is first, second and third, and then the headquarters needs to convert the emergency standard into a unified standard, such as 1/2/3.
The centralized control system is further used for performing persistent caching processing on the standardized environmental control performance data and performing warehouse-out or warehouse-in processing on the standardized environmental control alarm data according to the importance degree of the data, so that targeted storage management is performed on the environmental control data with different importance degrees, and the data management efficiency is improved.
Illustratively, persistent storage may be implemented based on Snapshotting or application-only file (abbreviation aof).
Illustratively, when implementing persistent storage based on snapshots, the control data in the memory is written into a binary file in a snapshot manner, with a default file name of dump. Meanwhile, redis can be configured to take a snapshot automatically within n seconds if more than m keys are modified.
Exemplarily, in the persistent storage based on the AOF method, redis appends each received write command to a file through a write function (default is apendonly. When the redis is restarted, the content of the whole database is rebuilt in the memory by re-executing the write command stored in the file. If it is not possible to write to disk immediately since os will cache the modifications made by write in the core.
Optionally, in this embodiment, the centralized control system is further configured to persistently cache the standardized environmental control performance data in a redis database according to the importance degree of the data, and perform ex-warehouse or in-warehouse processing on the standardized environmental control alarm data, so as to improve the speed of reading and writing the data.
Optionally, in this embodiment, the eco alarm data includes at least one of first eco alarm data indicating alarm elimination and second eco alarm data generated by table alarm;
the centralized control system is further used for performing persistent caching processing on the standardized environmental control performance data according to the importance degree of the data, performing warehousing processing on the second environmental control alarm data to be stored in an mq database, and/or performing ex-warehouse processing on the first environmental control alarm data to be deleted from the mq database, so that dynamic maintenance on the mq database is realized, and a data base of an upper analysis tool and analysis application is provided.
The second loopback alarm data may be binned by a data asynchronous binning mechanism. Specifically, in this embodiment, the data asynchronous warehousing mechanism implements warehousing processing through the message queue, and the detailed process is as follows: acquiring an index number on a data polling thread, performing self-increment on the index number to serve as a current index number, and judging whether the current index number is greater than a total index number or not; if the current index number is not larger than the total index number, continuously judging whether the processing state of the current index number is a processed state; and if the processing state of the current index number is an unprocessed state, extracting the environmental control data of the to-be-extracted warehouse according to the current index number and performing warehouse-in operation on the environmental control data of the to-be-extracted warehouse through the data polling thread, thereby avoiding the problem of repeated warehouse-in.
Optionally, in this embodiment, the centralized ring control system is further configured to transmit the standardized ring control performance data, which is persistently cached in the redis database, to the mq database in batch, so as to perform query and search processing on the standardized ring control performance data.
Optionally, in this embodiment, the centralized control system is further configured to obtain configuration data of at least one data center in the data center cluster; converting the acquired configuration data into standardized configuration data according to a preset configuration data standard; and storing the standardized configuration data in a configuration database. The configuration data of the data center is, for example, environment control configuration data, such as standard humidity, standard temperature and the like of a machine room.
Optionally, in this embodiment, the centralized control system is further configured to transmit the standardized configuration data stored in the configuration database to the mq database in batch, so as to perform query and search processing on the standardized configuration data.
Fig. 1C is a schematic structural diagram of a centralized management system of another data center cluster in the embodiment of the present application; on the basis of the above-mentioned fig. 1A, the system further includes: and the energy consumption prediction device is used for predicting the energy consumption of at least one data center in the data center cluster according to the established energy consumption prediction model so as to optimize the refrigeration strategy of the data center cluster and reduce the energy consumption.
Optionally, in the system in fig. 1C, the method further includes: the north Interface (Northbound Interface) subsystem is used for issuing an Interface conforming to the specification of the north Interface of the national standard open data center to the outside and is also used for access authentication, authorization and Interface management of an external data user application.
In the embodiment provided by the application, the environmental control data of at least one data center in the data center cluster is acquired; converting the obtained environment control data into standardized environment control data according to a preset environment control data standard; according to the importance degree of the data, the standardized environmental control data are classified and stored and managed, so that the headquarters in the prior art can automatically acquire the data of each data center in real time, and the efficiency of acquiring the data of the environmental control systems of the machine rooms of each data center by the headquarters is high.
Fig. 2 is a schematic flowchart of a centralized management method for a data center cluster in an embodiment of the present application; the data center cluster includes a plurality of data centers, as shown in fig. 2, the method is executed by the centralized control system, and specifically includes the following steps:
s201, acquiring environment control data of at least one data center in the data center cluster;
s202, converting the acquired environment control data into standardized environment control data according to a preset environment control data standard;
and S203, classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data.
The environmental control data includes at least one of power, water resources, fire protection, and facility safety data.
Optionally, in this embodiment, before the obtaining the environmental control data of at least one data center in the data center cluster, the method includes, in S200: monitoring the environmental control data of at least one data center in the data center cluster;
in the step S201, when the environmental control data of at least one data center in the data center cluster is acquired, the monitored environmental control data of at least one data center in the data center cluster is acquired.
Optionally, in this embodiment, the acquired environment control data includes environment control performance data and environment control alarm data;
the standardized environmental control data comprises standardized environmental control performance data and standardized environmental control alarm data, and the importance degree of the standardized environmental control performance data is smaller than that of the standardized environmental control alarm data;
in step S203, classifying the standardized environmental control data according to the importance of the data and storing the classified standardized environmental control data in different databases, including: and according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, and performing warehouse-out or warehouse-in processing on the standardized environmental control alarm data.
Optionally, in this embodiment, the performing, according to the importance degree of the data, persistent caching processing on the standardized environmental control performance data, and performing ex-warehouse or in-warehouse processing on the standardized environmental control alarm data includes: according to the importance degree of the data, the standardized environmental control performance data is cached in a redis database in a persistent mode, and the standardized environmental control alarm data is subjected to warehouse-out or warehouse-in processing.
Optionally, in this embodiment, the eco alarm data includes at least one of first eco alarm data indicating alarm elimination and second eco alarm data generated by table alarm;
in step S203, according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, and performing warehouse-out or warehouse-in processing on the standardized environmental control alarm data, including: according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, performing warehousing processing on the second environmental control alarm data to store the second environmental control alarm data in an mq database, and/or performing ex-warehouse processing on the first environmental control alarm data to delete the first environmental control alarm data from the mq database.
Optionally, in this embodiment, the method further includes: and transmitting the standardized environmental control performance data cached in the redis database in a batch mode into the mq database.
Optionally, in this embodiment, the method further includes:
acquiring configuration data of at least one data center in the data center cluster;
converting the acquired configuration data into standardized configuration data according to a preset configuration data standard;
storing the standardized configuration data in a configuration database.
Optionally, in this embodiment, the method further includes: bulk transferring the standardized configuration data stored in the configuration database into the mq database.
Optionally, in this embodiment, the method further includes: and predicting the energy consumption of at least one data center in the data center cluster according to the established energy consumption prediction model so as to optimize the refrigeration strategy of the data center cluster.
Fig. 3 is a schematic structural diagram of a centralized management apparatus of a data center cluster in an embodiment of the present application; the data center cluster comprises a plurality of data centers, and as shown in fig. 3, the apparatus comprises:
the acquisition unit is used for acquiring the environmental control data of at least one data center in the data center cluster;
the conversion unit is used for converting the acquired environmental control data into standardized environmental control data according to a preset environmental control data standard;
and the storage management unit is used for classifying the standardized environmental control data according to the importance degree of the data and carrying out storage management.
In various embodiments, the description with reference to the figures. Certain embodiments, however, may be practiced without one or more of these specific details, or in conjunction with other known methods and structures. In the following description, numerous specific details are set forth, such as specific structures, dimensions, processes, etc., in order to provide a thorough understanding of the present invention. In other instances, well known semiconductor processing and manufacturing techniques have not been described in particular detail in order to avoid obscuring the present invention. Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or configuration, or characteristic described in connection with the embodiment, is included in at least one embodiment of the present invention. Thus, the appearances of the phrase "in one embodiment" in various places throughout this specification are not necessarily referring to the same example. Furthermore, the particular features, structures, configurations, or characteristics may be combined in any suitable manner in one or more embodiments.
The terms "generate", "on", "pair", "on" and "on" as used herein may refer to a relative position with respect to another layer or layers. One layer "on," "grown on," or "on" another layer or adhered to "another layer may be in direct contact with" another layer or may have one or more intervening layers. A layer "on" a layer may be a layer that is in direct contact with the layer or there may be one or more intervening layers.
Before proceeding with the following detailed description, it may be helpful to set forth definitions of certain words and phrases used throughout this patent document: the terms "include" and "comprise," as well as variations thereof, are meant to be inclusive and not limiting; the term "or" is inclusive, meaning and/or; the phrases "associated with …" and "associated with" and variations thereof may be intended to include, be included, "interconnected with …," inclusive, included, "connected to …" or "connected with …," "coupled to …" or "coupled with …," "communicable with …," "mated with …," staggered, juxtaposed, proximate, "constrained to …" or "constrained with …," have the properties of …, "and the like; and the term "controller" means any device, system or component thereof that controls at least one operation, such a device may be implemented in hardware, firmware or software, or some combination of at least two of the same. It should be noted that the functionality associated with any particular controller may be centralized or distributed, whether locally or remotely. Definitions for certain words and phrases are provided throughout this patent document, those of ordinary skill in the art should understand that in many, if not most instances, such definitions apply to prior art as well as to future uses of such defined words and phrases.
In the present disclosure, the expression "include" or "may include" refers to the presence of a corresponding function, operation, or element, without limiting one or more additional functions, operations, or elements. In the present disclosure, terms such as "including" and/or "having" may be understood to mean certain characteristics, numbers, steps, operations, constituent elements, or combinations thereof, and may not be understood to preclude the presence or addition of one or more other characteristics, numbers, steps, operations, constituent elements, or combinations thereof.
In the present disclosure, the expression "a or B", "at least one of a or/and B" or "one or more of a or/and B" may include all possible combinations of the listed items. For example, the expression "a or B", "at least one of a and B", or "at least one of a or B" may include: (1) at least one a, (2) at least one B, or (3) at least one a and at least one B.
The expressions "first", "second", "said first" or "said second" used in various embodiments of the present disclosure may modify various components regardless of order and/or importance, but these expressions do not limit the respective components. The foregoing description is only for the purpose of distinguishing elements from other elements. For example, the first user equipment and the second user equipment represent different user equipment, although both are user equipment. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure.
When an element (e.g., a first element) is referred to as being "operably or communicatively coupled" or "connected" (operably or communicatively) to "another element (e.g., a second element) or" connected "to another element (e.g., a second element), it is understood that the element is directly connected to the other element or the element is indirectly connected to the other element via yet another element (e.g., a third element). In contrast, it is understood that when an element (e.g., a first element) is referred to as being "directly connected" or "directly coupled" to another element (a second element), no element (e.g., a third element) is interposed therebetween.
The expression "configured to" as used herein may be used interchangeably with the expressions: "suitable for", "having a capacity", "designed as", "suitable for", "manufactured as" or "capable". The term "configured to" may not necessarily mean "specially designed" in hardware. Alternatively, in some cases, the expression "a device configured as …" may mean that the device is "… capable" along with other devices or components. For example, the phrase "a processor adapted (or configured) to perform A, B and C" may mean a dedicated processor (e.g., an embedded processor) for performing the respective operations only, or a general-purpose processor (e.g., a Central Processing Unit (CPU) or an Application Processor (AP)) that may perform the respective operations by executing one or more software programs stored in a memory device.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms may also include the plural forms unless the context clearly dictates otherwise.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. Unless expressly defined in this disclosure, such terms as defined in commonly used dictionaries may be interpreted as having a meaning that is the same as a meaning in the context of the relevant art and should not be interpreted as having an idealized or overly formal meaning. In some cases, even terms defined in the present disclosure should not be construed to exclude embodiments of the present disclosure.
The term "module" or "functional unit" as used herein may mean, for example, a unit including hardware, software, and firmware, or a unit including a combination of two or more of hardware, software, and firmware. It should be noted that the algorithms illustrated and discussed herein have various modules that perform particular functions and interact with each other. It should be understood that for the purposes of description, these modules are separated only based on their functionality and represent computer hardware and/or executable software code stored on a computer-readable medium for execution on suitable computing hardware. The various functions of the different modules and units may be combined or separated into hardware and/or software stored on a non-transitory computer readable medium as above as modules in any way and may be used alone or in combination.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for centralized management of a data center cluster, the data center cluster comprising a plurality of data centers, the method comprising:
acquiring environmental control data of at least one data center in the data center cluster;
converting the obtained environment control data into standardized environment control data according to a preset environment control data standard;
and classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data.
2. The method of claim 1, wherein prior to obtaining the environmental control data for at least one data center in the cluster of data centers, the method comprises: monitoring the environmental control data of at least one data center in the data center cluster;
the acquiring the environmental control data of at least one data center in the data center cluster comprises: and acquiring the monitored environmental control data of at least one data center in the data center cluster.
3. The method according to claim 1, wherein the acquired environmental control data comprises environmental control performance data and environmental control alarm data;
the standardized environmental control data comprises standardized environmental control performance data and standardized environmental control alarm data, and the importance degree of the standardized environmental control performance data is smaller than that of the standardized environmental control alarm data;
the classifying and storing the standardized environmental control data into different databases according to the importance degree of the data comprises the following steps: and according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, and performing warehouse-out or warehouse-in processing on the standardized environmental control alarm data.
4. The method according to claim 3, wherein the persistent caching of the standardized environmental control performance data and the ex-warehouse or in-warehouse processing of the standardized environmental control alarm data according to the importance degree of the data comprises: according to the importance degree of the data, the standardized environmental control performance data is cached in a redis database in a persistent mode, and the standardized environmental control alarm data is subjected to warehouse-out or warehouse-in processing.
5. The method of claim 4, wherein the surround alarm data comprises at least one of first surround alarm data indicating alarm cancellation and second surround alarm data indicating alarm generation;
the processing of persistent cache of the standardized environmental control performance data and the processing of warehouse-out or warehouse-in of the standardized environmental control alarm data according to the importance degree of the data comprises the following steps: according to the importance degree of the data, performing persistent caching processing on the standardized environmental control performance data, performing warehousing processing on the second environmental control alarm data to store the second environmental control alarm data in an mq database, and/or performing ex-warehouse processing on the first environmental control alarm data to delete the first environmental control alarm data from the mq database.
6. The method of claim 5, further comprising: and transmitting the standardized environmental control performance data cached in the redis database in a batch mode into the mq database.
7. The method of claim 6, further comprising:
acquiring configuration data of at least one data center in the data center cluster;
converting the acquired configuration data into standardized configuration data according to a preset configuration data standard;
storing the standardized configuration data in a configuration database.
8. The method of claim 6, further comprising: bulk transferring the standardized configuration data stored in the configuration database into the mq database.
9. An apparatus for centralized management of a data center cluster, the data center cluster comprising a plurality of data centers, the apparatus comprising:
the acquisition unit is used for acquiring the environmental control data of at least one data center in the data center cluster;
the conversion unit is used for converting the acquired environmental control data into standardized environmental control data according to a preset environmental control data standard;
and the storage management unit is used for classifying the standardized environmental control data according to the importance degree of the data and carrying out storage management.
10. A centralized management system for a data center cluster, the data center cluster comprising a plurality of data centers, the system comprising: the data center environment control system is configured in the local of at least one data center in the data center cluster, and the centralized environment control system is configured in the cloud end; wherein:
the data center environment control system at least comprises a data acquisition device, and the data acquisition device is used for acquiring environment control data of at least one data center in the data center cluster;
the centralized control system is used for acquiring the environment control data of at least one data center in the data center cluster; converting the obtained environment control data into standardized environment control data according to a preset environment control data standard; and classifying the standardized environmental control data according to the importance degree of the data and storing and managing the standardized environmental control data.
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