WO2018064843A1

WO2018064843A1 - System and method for managing infrastructure of data center

Info

Publication number: WO2018064843A1
Application number: PCT/CN2016/101608
Authority: WO
Inventors: 常爱平; 曹友盛; 钟泽明
Original assignee: 深圳中兴力维技术有限公司
Priority date: 2016-10-09
Filing date: 2016-10-09
Publication date: 2018-04-12

Abstract

Disclosed in the present invention are a system and a method for managing infrastructure of a data center, which belong to the field of internet of things (IOT) technology. The system comprises: an IOT gateway for realizing an IOT device access, a protocol conversion module for performing a protocol adaptation of an IOT device, a data convergence gateway for performing fault tolerance, service classification and cleaning on received real-time data, a data storage and analysis module for storing the real-time data and analyzing the stored data, a basic management module for processing data of the data storage and analysis module according to an instruction of the data convergence gateway or a comprehensive management module, and the comprehensive management module for distributing, driven by an event stream engine, service data to each internal service management unit for presentation. The embodiments of the present invention can realize, by means of redefining and re-dividing a management framework for infrastructure resources, the functions of wide acquisition, high convergence, deep excavation and easy management with regard to the infrastructure of a data center.

Description

Title of Invention: Data Center Infrastructure Management System and Methodology

[0001] The present invention relates to the field of Internet of Things technologies, and in particular, to a data center infrastructure management system and method.

[0002] The current data center is facing two major problems during its operation, data center stability and data center energy consumption. The stable operation of the data center is the most important indicator to measure the reliability of a data center. It may bring incalculable business-side applications in the short-term period of service interruption caused by abnormal power outages and network interruptions in the data center. Important data loss and property damage. In addition, in the same way to ensure the stable operation of the data center, the data center has always been a major energy consumer, and the international carbon emission rights competition is becoming increasingly fierce. In order to limit the development of developing countries, developed countries in Europe and America have made strict carbon emission rights. Restrictions, in the name of energy conservation and environmental protection, prevent China from acquiring more carbon emission rights and restricting the development of domestic industries. In this context, data centers are also facing enormous financial pressures in energy conservation and emission reduction. Reducing C02 emissions is another aspect of current data center concerns.

[0003] The management of traditional data centers relies on power environment monitoring, fire protection, access control, and cold source group control. Data such as UPS, battery, air conditioner, access controller, electric meter, power distribution cabinet, temperature and humidity sensor, infrared sensor, etc. are collected through the serial port. Information; Capture video stream information such as cameras through CCTV closed-circuit monitoring system or digital network technology. Based on the collected data and alarm information, a variety of subsystems such as traditional PE (Power & Environment), VS (Video Surveillance), BA (Building Automation), and other subsystems are formed. During the period, the problem of data center information monitoring and control was solved. However, with the development of information technology and the requirements for refined management of data centers, many problems have also been exposed, including:

[0004] 1. An information island is formed. The professional subsystems are relatively closed and cannot share information.

[0005] 2. Management is scattered and not uniform. The professional subsystems are isolated from each other and the operations are not unified.

[0006] 3. Ignore business process definitions. In the process of data center management, there is no mature and stable management mechanism. When it comes to some data center management behaviors, what operations, how to operate, etc. Xiang Hao did not form a set of effective codes of conduct.

[0007] 4. Heavy business, light management. The main domestic technical application in this field is the management of business modules.

For the business management of the data center, modularization, from the perspective of assets, capacity, energy consumption, etc., the division of business modules, to achieve data classification management, but these modules can not be effectively connected in series, forming Data sharing and association.

[0008] 5, data storage is limited. A large amount of real and alarm information is generated every day in the data center. The storage space occupied by this information is increasing. The traditional database storage structure cannot meet the data growth requirements. Therefore, the storage period is limited by the storage space. In addition, in the case of large-capacity data storage, database I/O frequently causes slow data read and write.

[0009] 6. The measures for energy saving and emission reduction in the daily operation of the data center do not have a good data analysis feedback system.

In the control of air conditioners, cold water pumps, and chillers, there is no fine-grained data for fine control.

[0010] Therefore, in the data center infrastructure management, a new management architecture is needed to solve the data center data dispersal, isolated, difficult to integrate, data redundancy difficult to analyze, and data accumulation is not long, difficult to query and result in collection. Data is difficult to bring to the technical value of the value.

technical problem

[0011] In view of this, the technical problem to be solved by the present invention is to provide a data center infrastructure management system and method, which solves the problem that data center data dispersion is difficult to integrate, data redundancy is difficult to analyze, and data accumulation is not long. Technical problems that are difficult to query and result in data that is difficult to exploit.

Problem solution

Technical solution

[0012] The technical solution adopted by the present invention to solve the above technical problems is as follows:

[0013] According to an aspect of the present invention, a data center infrastructure management system is provided, including an Internet of Things gateway, a protocol conversion module, a data aggregation gateway, a data storage analysis module, a basic management module, and an integrated management module, wherein:

[0014] an IoT gateway is configured to implement access of the IoT device, and the actual data of the IoT device that is accessed is sent to the protocol conversion module;

[0015] a protocol conversion module, configured to perform protocol adaptation on the accessed IoT device, and report the actual data of the different IoT devices to the data aggregation gateway by using a unified protocol template; [0016] The data aggregation gateway is configured to perform fault tolerance and service classification cleaning on the received real data, and then distribute the data to the basic management module and/or the write data storage analysis module.

[0017] a data storage analysis module, configured to store data written by the data aggregation gateway, and analyze the stored data to form a data analysis report;

[0018] a basic management module, configured to process data of the IoT device of the data storage analysis module according to an instruction of the data aggregation gateway and/or the integrated management module;

[0019] The integrated management module is configured to be driven by the event flow engine to distribute the service data to each service management unit for presentation.

[0020] Preferably, the system further includes an IoT device configuration module, configured to perform unified configuration management on the IoT device, wherein the configuration management includes an upgrade, policy configuration, and/or data configuration of the IoT device.

[0021] Preferably, the Internet of Things device configuration module is specifically configured to:

[0022] After receiving the configuration management instruction, the IoT device configuration module acquires basic data information required for the configuration management instruction from the basic management module, and sends the basic data information to the protocol conversion module, after the protocol conversion module translates the configuration management instruction, Issued to the IoT Gateway.

[0023] Preferably, the data storage analysis module specifically analyzes the stored data in the following manner to form a data analysis report:

[0024] The stored data is analyzed according to the established data model, and unsupervised learning is performed to form a data analysis report.

[0025] Preferably, the service management unit comprises an asset management unit, a capacity management unit, an energy management unit, an operation management unit, a report management unit, an alarm management unit, a real monitoring unit, and/or a visualization unit.

[0026] Preferably, the Internet of Things device comprises a UPS power source, a battery, an air conditioner, a cold water pump, a chiller, an access controller, an electric meter, a power distribution cabinet, a camera, an encoder, and/or a data collector.

[0027] According to another aspect of the present invention, a data center infrastructure management method is provided that includes the following steps:

[0028] The real data of the IoT device that the IoT gateway collects and accesses is sent to the protocol conversion module;

[0029] The protocol conversion module performs protocol adaptation on the accessed IoT device, and reports the actual data of the different Internet of Things devices to the data aggregation gateway by using a unified protocol template;

[0030] After the data aggregation gateway performs fault tolerance and service classification cleaning on the received real data, it is distributed to the basic management. Module and/or write data storage analysis module;

[0031] The data storage analysis module stores the data written by the data aggregation gateway, and analyzes the stored data to form a data analysis report; the basic management module analyzes the data storage module according to the instructions of the data aggregation gateway and/or the integrated management module. Data processing of IoT devices;

[0032] The integrated management module is driven by the event stream, and distributes the service data to each service management unit for presentation.

[0033] Preferably, the method further comprises the following steps:

[0034] The IoT device configuration module performs unified configuration management on the IoT device, wherein the configuration management includes an upgrade, policy configuration, and/or data configuration of the IoT device.

[0035] Further, the unified configuration management of the Internet of Things device by the IoT device configuration module includes the following steps:

[0036] after receiving the configuration management instruction, the IoT device configuration module acquires basic data information required by the configuration management instruction from the basic management module, and sends the basic data information to the protocol conversion module;

[0037] After the protocol conversion module translates, it is sent to the IoT gateway.

[0038] Preferably, the integrated management module is driven by the event flow engine, and distributing the service data to each service management unit for presentation further includes:

[0039] after detecting the event, triggering an event notification;

[0040] buffering the event to the waiting queue according to the priority of the event;

[0041] The actual scan event waiting queue, the event is taken out according to the priority, and the event processor route is obtained;

[0042] Event distribution is performed according to an event handler route.

[0043] Preferably, after the event distribution according to the event processing party route, the method further includes: after the event processor receives the event, performing event processing and feedback; and after the event is processed, closing the event.

Advantageous effects of the invention

Beneficial effect

[0044] The method and device of the embodiment of the present invention, by redefining the management framework of the basic setting resource, using the Internet of Things gateway to support access of various vendors' IoT devices, and using the protocol adaptation module to different devices The protocol and different monitoring information are converted into a unified template, and the data aggregation gateway is used to aggregate and store the collected data to realize unified cleaning and storage of data, and utilize basic management modules and comprehensive The management module performs mining analysis and business management on the aggregated data to realize information flow and sharing, thereby realizing functions of wide collection, high aggregation, deep mining and easy management.

Brief description of the drawing

DRAWINGS

1 is a schematic structural diagram of a data center infrastructure management system according to Embodiment 1 of the present invention;

2 is a block diagram of a general management module according to Embodiment 1 of the present invention;

3 is a schematic structural diagram of a data center infrastructure management system according to Embodiment 2 of the present invention;

4 is a flowchart of a data center infrastructure management method according to Embodiment 3 of the present invention;

5 is a flowchart of a method for an event flow engine according to Embodiment 4 of the present invention.

Embodiments of the invention

The present invention will be further described in detail with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Embodiment 1

As shown in FIG. 1 , a data center infrastructure management system provided by an embodiment of the present invention includes an Internet of Things gateway 10, a protocol conversion module 20, a data aggregation gateway 30, a data storage analysis module 40, a basic management module 50, and Integrated management module 60, wherein:

[0053] The Internet of Things gateway 10 is configured to implement access of the Internet of Things device, and the actual data of the IoT device that is accessed is sent to the protocol conversion module 20.

[0054] Specifically, the IoT gateway 10 realizes the access of the IoT device at the front end of the data center, and can support the collection of real data and control signaling of the IoT device of various manufacturers. IoT devices include all devices with serial or network access to the IoT gateway. For example: UPS, battery, air conditioner, access controller, electric meter

Power equipment such as power distribution cabinets, cold water pumps, chillers, temperature and humidity, etc., may also include security equipment such as cameras, encoders, and data collectors. The protocol conversion module 20 is configured to perform protocol adaptation on the accessed IoT device, and report the actual data of the different IoT devices to the data aggregation gateway 30 in a unified protocol template.

[0055] Specifically, the actual data description protocols of the Internet of Things devices are different, and are connected by the protocol conversion module 20 The incoming IoT device adapts the protocol to adapt to the standard or non-standard protocol adopted by different IoT devices, and realizes data access with a unified protocol template. The data aggregation gateway 30 can be uniformly cleaned and stored by the data aggregation gateway 30 by converting the different protocols and the different monitoring information of the tens of thousands of devices into a unified template.

[0056] The data aggregation gateway 30: is configured to perform fault tolerance and service classification cleaning on the received real data, and then distribute to the basic management module 50 and/or the write data storage analysis module 40.

[0057] Specifically, the data aggregation gateway 30 performs fault-tolerant processing on the received real data, and performs unified cleaning and storage according to the service classification. A part of the data and instructions are reported to the basic management module 50 for data caching according to a preset rule, and a part of the data is stored in the data storage analysis module 40 for solidification and storage.

[0058] The data storage analysis module 40 is configured to store data written by the data aggregation gateway 30, and analyze the stored data to form a data analysis report.

[0059] Specifically, the data storage analysis module 40 stores the data written by the data aggregation gateway 30, and provides a buffer interface to the basic management module 50 to implement data reading. The data storage analysis module 40 can implement data storage by combining various data storage technologies such as a relational database, a non-relational database, and an in-memory database. For different data applications, a data storage mechanism can be defined. The Data Storage Analysis Module 40 performs the functions of data storage, data analysis, and data report generation in the system. In the landscape orientation, some basic configuration information in the system is stored in this module. The vertical direction stores the actual data and alarm information collected from the data center infrastructure equipment, and analyzes the stored data to form a data analysis report, and provides service data for the basic management module 50 and the integrated management module 60.

[0060] wherein, the data storage analysis module 40 analyzes the stored data, and the manner of forming the data analysis report includes, but is not limited to: analyzing the stored data according to the established data model, and performing unsupervised learning to form a data analysis. report.

[0061] Specifically, the data storage analysis module 40 establishes a machine learning model, the model is established based on existing cognitive experience, and results model-oriented data modeling; data analysis and calculation according to the established learning model; The model calculates the results and draws recommendations for decision making. Peer-to-peer conducted deep learning on the results of the analysis, and further analyzed the cognitive results to solve the analysis results in the unknown field in the data analysis process. Thereby, intelligent learning is realized, and the system has an intelligent application.

[0062] The basic management module 50 is configured to be in accordance with an instruction of the data aggregation gateway 30 or the integrated management module 60, The data of the IoT device of the data storage analysis module 40 is processed.

[0063] Specifically, after receiving the instruction and data of the data aggregation gateway 30, the basic management module 50 performs processing in the local cache for reading by the integrated management module; after receiving the instruction of the integrated management module 60, analyzing from the data storage according to the instruction The module 40 acquires the data and performs local caching for reading by the integrated management module 60.

[0064] The integrated management module 60 is configured to be driven by the event flow engine to distribute the service data to the internal service management units for presentation.

[0065] Specifically, the integrated management module 60 is configured to perform event distribution by using an event flow engine, including triggering a process task by an event flow, which may be divided into a service driver and a system driver, where the service-driven event is triggered by the service process and triggered by different rights users; System-driven events are triggered by system preset automation tasks, system notifications, and so on. Business-driven events are derived from information, tasks, requests, and notifications generated by data center managers and maintenance personnel during ongoing day-to-day maintenance operations. Based on system-driven events, information such as detected alarms, anomalies, faults, and system notifications in the monitoring system are collectively referred to as system events. At the same time, after the integrated management module 60 obtains the data, the data is distributed to each business management unit for presentation.

[0066] Referring to FIG. 2, the service management unit of the integrated management module 60 includes: an asset management unit, a capacity management unit, an energy management unit, an operation and maintenance management unit, a report management unit, an alarm management unit, a real monitoring unit, or Any combination of visualization units. Thereby achieving asset management, capacity management, energy management, operation and maintenance management, report management, alarm management, real data management and visual presentation management.

[0067] In the embodiment of the present invention, by redefining the management framework of the basic setting resource, the IoT gateway is used to support access of various vendors' IoT devices, and the protocol adaptation module is used to implement different protocols of different devices. The information of different monitoring amounts is converted into a unified template, and the collected data is collected and stored by the data aggregation gateway to realize unified cleaning and storage of data, and the basic management module and the integrated management module are used to perform mining analysis and business management on the aggregated data, thereby realizing Wide collection, high convergence, deep digging and easy to manage features.

[0068] Embodiment 2

As shown in FIG. 3, a data center infrastructure management system provided by a preferred embodiment of the present invention includes an Internet of Things gateway 10, a protocol conversion module 20, a data aggregation gateway 30, and a data storage analysis module 40. In addition to the basic management module 50 and the integrated management module 60, the system also includes an IoT device configuration module. The technical features and functions of the IoT gateway 10, the protocol conversion module 20, the data aggregation gateway 30, the data storage analysis module 40, the basic management module 50, and the integrated management module 60 are the same as those in the first embodiment.

Therefore, it will not be repeated.

[0070] The IoT device configuration module 70 is configured to perform unified configuration management on the IoT device, wherein the configuration management includes an upgrade, policy configuration, and/or data configuration of the IoT device.

[0071] Since the Internet of Things devices in the infrastructure management system are relatively dispersed, it is not easy to uniformly manage. Before the actual data is submitted, the IoT gateway needs to be configured and managed. The configuration management is used to determine the specific monitoring amount that the device accessed by the Internet of Things gateway 10 is allowed to report, and the monitoring amount that is not allowed to be reported is blocked. Configuration management includes operations to provide information such as upgrades, policy configurations, and data configurations of IoT devices, which facilitates the management, maintenance, and upgrade of access devices, and provides a view of device health, ease of configuration, configuration, and maintenance. In this way, not only can the unified management of IoT devices be realized, but also the speed and accuracy of data collection by IoT devices can be improved. The basic data information of the IoT device that the user can enter through the UI interface of the basic management module 50 also needs to perform some configuration management work for the basic data information, including the upgrade of the IoT device, policy configuration, and data configuration. The configuration management work is performed by the IoT device configuration management module 70. The user can perform further configuration operations through the UI of the IoT device configuration management module 70. After the IoT device configuration module 70 receives the configuration management command, the basic configuration operation is performed. The management module obtains the basic data information required for the configuration management command, and sends it to the protocol conversion module 20, and the protocol conversion module 20 translates the configuration management command and sends it to the Internet of Things gateway 10. Through the embodiment of the present invention, on the basis of the first embodiment, the IoT device configuration module is integrated to manage the IoT device, and the speed and accuracy of collecting data by the IoT device are improved.

Embodiment 3

[0073] As shown in FIG. 4, a data center infrastructure management method provided by an embodiment of the present invention includes the following steps:

[0074] S10. The real data of the IoT device that the IoT gateway collects and accesses is sent to the protocol conversion module.

[0075] Specifically, the Internet of Things gateway realizes the access of the IoT device at the front end of the data center, and can support the collection of actual data and control signaling of the IoT device of various manufacturers. IoT devices include all devices that have a serial port or a network port to access the IoT gateway. For example: UPS, battery, air conditioner, access controller, electric meter, power distribution cabinet, cold water pump, chiller temperature and humidity, etc., can also include camera, encoder, number According to collectors and other security equipment. The actual data of the accessed IoT device is sent to the protocol conversion module.

[0076] S20. The protocol conversion module performs protocol adaptation on the accessed IoT device, and reports the actual data of the different IoT devices to the data aggregation gateway by using a unified protocol template.

[0077] Specifically, the actual data description protocols of the Internet of Things devices are different, and the protocol conversion module 20 adapts the accessed IoT devices to meet the standards or non-standards adopted by different IoT devices. Protocol, access to data with a unified protocol template. The data aggregation gateway 30 can be uniformly cleaned and stored by the data aggregation gateway 30 by converting the different protocols and different monitoring information of the tens of thousands of devices into a unified template.

[0078] S30. The data aggregation gateway performs fault tolerance and service classification cleaning on the received real data, and then distributes the data to the basic management module and/or the data storage analysis module.

[0079] Specifically, the data aggregation gateway performs fault-tolerant processing on the received real data, and performs unified cleaning and storage according to the service classification. A part of the data and instructions are reported to the basic management module for data caching according to a preset rule, and a part of the data is stored in the data storage analysis module for solidification and storage.

[0080] S40. The data storage analysis module stores data written by the data aggregation gateway, and analyzes the stored data to form a data analysis report.

[0081] Specifically, the data storage analysis module stores data written by the data aggregation gateway, and provides a slide interface to implement data reading by the basic management module. The data storage analysis module can realize the storage of data by combining various data storage technologies such as relational database, non-relational database and in-memory database. For different data applications, the data storage mechanism can be defined. The data storage analysis module is responsible for data storage, data analysis, and data report generation in the system. In the landscape orientation, some basic configuration information in the system is stored in this module. The vertical direction stores the actual data and alarm information collected from the data center infrastructure equipment, analyzes the stored data, forms a data analysis report, and provides service data for the basic management module and the integrated management module.

[0082] The data storage analysis module analyzes the stored data, and the method for forming the data analysis report includes, but is not limited to: performing data analysis on the stored data according to the established data model, and performing unsupervised learning to form data analysis. report. Specifically, the data storage analysis module establishes a machine learning model, which is built on the basis of existing cognitive experience and results-oriented data modeling; The learning model is used for data analysis and calculation; according to the calculation model, the decision suggestions are obtained. Peer-to-peer conducts in-depth learning based on the analysis results obtained, further analyzes the cognitive results, and solves the analysis results in the unknown field in the data analysis process. The data storage analysis module 40 analyzes the stored data, and the method for forming the data analysis report includes, but is not limited to: performing data analysis on the stored data according to the established data model, and performing unsupervised learning to form a data analysis report. Thereby, intelligent learning is realized, and the system has an intelligent application.

[0083] S50. The basic management module processes the data of the Internet of Things device according to the instructions of the data aggregation gateway and/or the integrated management module.

[0084] S60. The integrated management module is driven by the event flow engine, and distributes the service data to each service management unit for presentation.

[0085] Specifically, the integrated management module uses the event flow engine as a driving event to distribute the event, including triggering the process task by the event stream, which can be divided into a service driver and a system driver, and the service driver event is triggered by the business process and triggered by different permission users. System-driven events are triggered by system preset automation tasks, system notifications, and so on. At the same time, after the data is obtained, the data is distributed to each business management unit for presentation. The business management unit includes, but is not limited to, an asset management unit, a capacity management unit, an energy management unit, an operation management unit, a report management unit, an alarm management unit, a real monitoring unit, or a visualization unit. Thereby achieving asset management, capacity management, energy management, operation and maintenance management, report management, alarm management, real data management and visual presentation management.

[0086] For example, the data of the IoT device is taken as an example for description. The method includes: the IoT gateway collects the actual monitoring data of the access device; the protocol conversion module performs protocol adaptation and converts into a unified The standard protocol, and the actual monitoring data is sent to the data aggregation gateway according to the standard protocol. After the data aggregation gateway receives the report protocol of the actual data, it performs preliminary data cleaning work on the actual data, and some of it is pushed to the basic management module, and a part is written to the data storage analysis module through the interface with the data storage analysis module. After receiving the actual data information, the data storage analysis module persists the data temporarily stored in the internal cache and establishes an offline index and the like. After receiving the real data protocol, the basic management module extracts the key access device ID field from the real data protocol, and through the device ID field, queries the related information from the data storage analysis module, and the information and the actual information are queried. The data information is combined into new data and reported to the integrated management module. After the integrated management module receives the updated data, it passes the actual The monitoring module displays the actual data information.

[0087] As a preferred embodiment, the foregoing method further includes: the Internet of Things device configuration module performs unified configuration management on the Internet of Things device, wherein the configuration management includes an upgrade, policy configuration, and/or data configuration of the Internet of Things device.

[0088] Specifically, the foregoing steps further include: after receiving the configuration management instruction, the IoT device configuration module obtains the basic data information required for the configuration management instruction from the basic management module, and then forwards the data to the protocol conversion module; After the management instructions are translated, they are sent to the IoT gateway.

[0089] Since the Internet of Things devices in the infrastructure management system are relatively dispersed, it is not easy to manage uniformly. Before the actual data is submitted, the IoT gateway needs to be configured and managed. The configuration management is used to determine the specific monitoring amount that the device connected to the Internet of Things is allowed to report, and the monitoring amount that is not allowed to be reported. Configuration management includes operations to provide information such as upgrades, policy configurations, and data configurations of IoT devices. This facilitates the management, maintenance, and upgrade of access devices, and provides a view of device health and ease of construction, configuration, and maintenance. In this way, not only can the unified management of IoT devices be realized, but also the speed and accuracy of data collection by IoT devices can be improved.

[0090] In the embodiment of the present invention, the Internet of Things gateway supports access of a variety of vendors' IoT devices, and the protocol adaptation module converts different protocols and different monitoring amounts of different devices into a unified template through the data aggregation gateway. Collect and collect data for aggregation and storage, and achieve unified cleaning and storage of data. The basic management module and the integrated management module perform mining analysis and business management on the aggregated data, thereby realizing the functions of wide collection, high aggregation, deep mining and easy management. Embodiment 4

[0091] As shown in FIG. 5, a method for an event flow engine according to an embodiment of the present invention includes the following steps:

[0092] S601. After detecting the event, triggering an event notification.

[0093] Specifically, the event refers to a message generated in a service management process such as asset, capacity, and energy consumption in a data center infrastructure management system. Events can be driven by external business drivers or internal system drivers. Business-driven events are derived from information, tasks, requests, and notifications generated by data center managers and maintenance personnel during ongoing administrative maintenance operations. System-driven events are derived from information such as detected alarms, anomalies, faults, and system notifications in the monitoring system. These information are collectively referred to as system events. The source of the event may come from the data storage analysis module to determine the data analysis, and the related event triggering instruction generated after the IoT gateway accesses the IoT device is transferred by the protocol. The replacement module and the data aggregation gateway and the basic management module layer are reported to the integrated management module, and can also be manually triggered by the user through the external interface of the integrated management module.

[0094] There are multiple notification methods for the triggered event, and the user may be notified by a third party such as a phone call, an email, a short message, or a WeChat, or may be notified through a system pop-up box and a system message mode on the UI interface of the integrated management module.

[0095] S602. Cache the event to the waiting queue according to the priority of the event.

[0096] Specifically, after the event notification, the event is temporarily stored in the waiting queue in priority order, for example, the number of concurrent events is more than the priority of the high-level event, and the low-level event enters the waiting queue to wait for the system to process the event.

[0097] S603. The scan event waiting queue is retrieved according to the priority, and the event processor route is obtained.

[0098] Specifically, the occurrence of an event may trigger one or more action instructions, and the action instruction refers to a specific operation performed during the process of processing the event corresponding resource after the event is triggered, and may trigger another action after the execution of one action instruction is completed. The execution of an action instruction, the execution sequence of these action instructions constitutes an event stream, the body that performs these actions is the event handler, and if one event triggers multiple action instructions, there may be multiple event handlers. The event flow engine actually scans the event waiting queue, takes the event out of the queue, analyzes the event type and the event receiver, and analyzes the event handler to select the route for the event distribution. S604. Perform event distribution according to an event processor route. S605. After the event handler receives the event, perform event processing and feedback.

[0099] Specifically, the event handler analyzes the cause of the event, finds the event solution, and completes the event itself to include information reflecting the content operation. Peer, the result of the processing and the content of the operation should be feedback in the integrated management module and recorded in the event information, thus forming a feedback mechanism for the event processing result.

[0100] S606. After the event is processed, the event is closed.

[0101] Specifically, after the information reflected by the event is processed, the event is closed. After the event is closed, the integrated management module records the information during the entire processing of the event and forms an archive of the event information to facilitate the query of the event.

For example, the alarm event is taken as an example. The alarm event belongs to a system-driven event. The trigger of the event is derived from the IoT gateway. The IoT gateway accesses the smart IoT device to calculate and determine the alarm information generated. The information is reported to the basic management module via the protocol conversion module and the data aggregation gateway. The basic management module reports the alarm event to the integrated management module. After receiving the alarm event, the integrated management module triggers an event notification operation, and then the alarm event notification message enters the alarm event buffer queue to wait for the system to process, and the system takes out the alarm event from the queue. The priority of the alarm is determined, and the event flow engine with higher priority is preferentially distributed, and the event queue for lower priority is returned to the cache queue for processing. After being distributed by the event flow engine, the alarm event receiver performs alarm event processing after receiving the alarm, and performs processing progress feedback during the processing. After the alarm is cleared or the device corresponding to the alarm message is repaired, the alarm event is closed, and the process of processing the alarm event is recorded in the system.

[0103] In the event flow engine method of the embodiment of the present invention, the multi-dimensional recording of the event, the space, and the event information is realized by the event sequence recording and the event flow engine technology, and the event flow engine is taken as the core to provide a reasonable Effective process control mechanism and management method, realize lifecycle management and event business process management, ensure data center management process and institutionalization, and effectively ensure data center resource information data accuracy, fault handling and Hey, discover potential pitfalls and be able to prevent and control.

The preferred embodiments of the present invention have been described above with reference to the drawings, and are not intended to limit the scope of the invention.

A person skilled in the art can implement the invention in various modifications without departing from the scope and spirit of the invention. For example, the features of one embodiment can be used in another embodiment to obtain a further embodiment. Any modifications, equivalent substitutions and improvements made within the technical concept of the invention are intended to be within the scope of the invention.

Industrial applicability

[0105] The method and device of the embodiment of the present invention, by redefining and dividing the management framework of the basic setting resource, using the Internet of Things gateway to support access of various vendors' IoT devices, and using the protocol adaptation module to differentize different devices. The protocol and the different monitoring information are converted into a unified template, and the data gathering gateway is used to collect and collect the collected data to realize unified cleaning and storage of the data, and use the basic management module and the integrated management module to perform mining analysis and business management on the aggregated data. Realize information flow and sharing, thus achieving wide collection, high aggregation, deep mining and easy management.

Claims

Claim

[Claim 1] A data center infrastructure management system, comprising: an Internet of Things gateway, a protocol conversion module, a data aggregation gateway, a data storage analysis module, a basic management module, and an integrated management module, wherein:

The Internet of Things gateway is configured to implement access of the Internet of Things device, and the actual data of the accessed IoT device is sent to the protocol conversion module;

The protocol conversion module is configured to perform protocol adaptation on the accessed IoT device, and report the actual data of the different IoT devices to the data aggregation gateway by using a unified protocol template;

The data aggregation gateway is configured to perform fault tolerance and service classification cleaning on the received real data, and then distribute the data to the basic management module and/or to the data storage analysis module; the data storage analysis module is set to Storing data written by the data aggregation gateway, and analyzing the stored data to form a data analysis report; the basic management module is configured to be according to the data aggregation gateway and/or the instruction of the integrated management module, Processing data of the IoT device of the data storage analysis module;

The integrated management module is configured to be driven by the event flow engine to distribute the business data to each service management unit for presentation.

[Claim 2] The data center infrastructure management system according to claim 1, wherein the system further includes an Internet of Things device configuration module, wherein:

The IoT device configuration module is configured to perform unified configuration management on the IoT device, wherein the configuration management includes an upgrade, policy configuration, and/or data configuration of the IoT device.

[Claim 3] The data center infrastructure management system according to claim 2, wherein the object network device configuration module is specifically configured to:

After receiving the configuration management instruction, the IoT device configuration module acquires basic data information required by the configuration management instruction from the basic management module, and sends the basic data information to the protocol conversion module, where the protocol conversion module translates the configuration management instruction After being sent to the Internet of Things Gateway.

The data center infrastructure management system according to claim 1, wherein the data storage analysis module specifically analyzes the stored data in the following manner to form a data analysis report:

The stored data is analyzed according to the established data model, and unsupervised learning is performed to form a data analysis report.

The data center infrastructure management system according to claim 1, wherein the service management unit comprises an asset management unit, a capacity management unit, an energy consumption management unit, an operation and maintenance management unit, a report management unit, an alarm management unit, and an implementation unit. Monitoring unit and / or visualization unit.

The data center infrastructure management system according to any one of claims 1 to 5, wherein the Internet of Things device comprises a UPS power source, a battery, an air conditioner, a cold water pump, a chiller, an access controller, an electric meter, and a power distribution. Cabinet, camera, encoder, and/or data collector.

A data center infrastructure management method, the method comprising the following steps:

The real data of the IoT device that the IoT gateway collects and accesses is sent to the protocol conversion module; the protocol conversion module performs protocol adaptation on the accessed IoT device, and uses a unified protocol template to connect different IoT devices. The data is reported to the data aggregation gateway; the data aggregation gateway performs fault tolerance and service classification cleaning on the received actual data, and then distributes the data to the basic management module and/or the data storage analysis module.

The data storage analysis module stores data written by the data aggregation gateway, and analyzes the stored data to form a data analysis report;

The basic management module processes data of the IoT device of the data storage analysis module according to an instruction of the data aggregation gateway and/or the integrated management module; the integrated management module is driven by an event flow bow engine The business data is distributed to each business management unit for presentation.

The data center infrastructure management method according to claim 7, wherein the method further comprises the following steps: The IoT device configuration module performs unified configuration management on the IoT device, wherein the configuration management includes an upgrade, policy configuration, and/or data configuration of the IoT device.

[Claim 9] The data center infrastructure management method according to claim 8, wherein the IoT device configuration module performs unified configuration management on the IoT device, including the following steps: the IoT device configuration module receives the configuration After the management command, the basic data information required by the configuration management command is obtained from the basic management module, and sent to the protocol conversion module. The protocol conversion module translates the configuration management command and sends the configuration management command to the Internet of Things gateway.

The data center infrastructure management method according to claim 7, wherein the integrated management module is driven by the event flow engine, and distributing the service data to each service management unit for presentation further includes:

After the event is detected, an event notification is triggered;

Caching events to the wait queue based on the priority of the event;

The actual scan event wait queue, the event is taken out according to the priority, and the event processor route is obtained; the event is distributed according to the event processor route.

[Claim 11] The data center infrastructure management method according to claim 10, wherein after the event distribution by the event processor route, the method further includes:

After the event handler receives the event, it performs event processing and feedback; after the event is processed, the event is closed.