CN113765746A - Data center control system based on resource tree - Google Patents
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Abstract
The invention discloses a resource tree-based data center control system, which belongs to the technical field of data center control and comprises a data service platform, a control platform and a front-end visualization module. The invention can carry out unified management and storage on the collected different types of data according to the defined resource tree form and the cascade rule, thereby realizing high expansibility and facilitating development and maintenance; the real-time updating of front-end page data is realized by adopting Websocket, so that the purpose of real-time monitoring is achieved; the system can support various application layer protocol interfaces such as HTTP and the like, and is suitable for various clients such as mobile phones, tablets, computers and the like; the system can be widely applied to multiple fields and multiple network environments, can be applied to power environment monitoring of a single data center, and can also be applied to centralized monitoring of multiple networked data centers.
Description
Technical Field
The invention relates to the technical field of data center management and control, in particular to a data center management and control system based on a resource tree.
Background
From the current situation, the data center has become an important support for various elements such as national life counting, economic development, national defense construction and the like. The data central control system realizes the functions of real-time monitoring, fault prevention, rapid troubleshooting and the like by carrying out real-time monitoring and intelligent regulation control on equipment such as data center IT, refrigeration, power supply, UPS, environment, security protection, fire protection and the like; meanwhile, the operation and alarm data of each device are recorded and processed in real time, and the comprehensive management and control of the data center are realized. Therefore, in the life cycle of the data center, the control system plays a guard role in the whole course, senses the operation state of each subsystem of the data center at any time, and can effectively improve the operation efficiency of the data center; the data center is protected at the early stage of abnormity, damage to the data center caused by abnormal conditions is reduced, stable operation of the data center is guaranteed, working efficiency of managers is improved, and few persons or unattended operation of the data center is achieved.
However, with explosive development of cloud computing, internet of things and big data technologies, the scale of a data center is continuously enlarged, and the number of devices and the environmental conditions are also more and more complex, so that the pressure caused by the cloud computing, the internet of things and the big data technologies is difficult to bear by the current data center control system, and the following problems are urgently solved:
1. the data center infrastructure equipment is complex in type, so that a plurality of system interfaces are caused, development standards are different, and operation and maintenance management workload is huge. In traditional data center control system, operation and maintenance personnel need manage and control respectively at each subsystem interface, and the maloperation just easily appears in the inconvenient operation and traditional data center control system operates respectively on each independent equipment, can't link, has aggravated operation and maintenance personnel's work burden once more.
2. The system has poor real-time performance. Because information among all systems of the traditional data center control system cannot be linked, the real-time performance is poor, and when environmental indexes (temperature, humidity, voltage and the like) of the data center are abnormal, the abnormality cannot be sensed quickly, and the abnormality cannot be positioned quickly and solved quickly, so that disasters are brought to the normal operation of the data center.
In order to solve the technical problems, a data center control system based on a resource tree is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve the problems of more system interfaces, inconsistent development standards, huge operation and maintenance management workload, poor system real-time performance and the like caused by complex types of data center infrastructure equipment in the current data center control system, and the like, provides a data center control system based on a resource tree. The system adopts a resource tree concept, and maps the data center and the equipment thereof to the virtual resources of the system according to the function category. In order to be suitable for data acquisition of different types of equipment, the system provides multiple application layer protocol interfaces such as HTTP, COAP, MQTT and the like, is suitable for multiple clients, performs virtualization description on acquired data according to a defined resource tree form and a defined cascade rule, and solves the problems that the existing data center control system has more interfaces and different development standards. Meanwhile, the system adopts protocols such as MQTT and the like to realize real-time data acquisition and instruction issuing to the equipment end, adopts Websocket to update front-end page data in real time, realizes functions such as real-time monitoring and timely alarming of equipment, and solves the problem of poor real-time performance of the existing system. The configuration module manages system configuration parameters and ensures the safety and reliability of the system. The system can be widely applied to multiple fields and multiple network environments, can be applied to power environment monitoring of a single data center, and can also be applied to multiple networking data centers to realize centralized monitoring.
The invention solves the technical problems through the following technical scheme, and the invention comprises a data service platform, a control platform and a front-end visualization module;
the data service platform provides data acquisition, resource management, data storage and data push functions for different types of equipment; the platform adopts a resource tree concept to realize unified management and storage of data of various different devices and components according to a defined resource tree form and a defined cascade rule;
the management and control platform is based on the resource tree management module and realizes equipment monitoring, abnormality detection, fault management, remote control and background configuration management. The resource tree management module is used for operating the resource tree nodes in the acquisition service platform through various different protocols (such as HTTP and COAP) so as to realize unified and convenient management of the data center; the device monitoring module, the anomaly detection module, the fault management module and the remote control module are used for acquiring real-time state information of the device through the resource tree management module, and achieving the purposes of discovering anomalies in time, removing faults in time and remotely controlling the data center; the background configuration management module is used for realizing management of relevant configuration parameters of the management and control system through a configuration database;
the front-end visualization module mainly comprises a 3D data center, an IT resource monitoring module, a power supply and distribution monitoring module, an energy consumption monitoring module and an environment monitoring module, and the running state information of the data center is displayed in an all-around manner in the forms of a three-dimensional model, a cloud chart, a data chart and the like; meanwhile, the front end of the control platform can receive user instructions or operations in a visual mode, data are directly pulled from the control platform through REST API or pushed through MQTT protocol, and the purpose of man-machine interaction is achieved.
Furthermore, the data service platform adopts a resource tree concept and provides functions of data acquisition, resource processing, data storage and data push for different types of equipment; the data acquisition module provides various application layer protocol interfaces which can acquire data of various different devices and components, and the various application layer protocol interfaces comprise HTTP, COAP and MQTT application layer protocol interfaces; the resource processing module abstracts data into a platform node, an application node, an equipment node, a recording node, a grouping node and a notification node by adopting a resource tree, and six types of resource nodes are cascaded to realize the Internet of things description of the data center and equipment in the data center; the data storage module is divided into an index database and a storage database, wherein the index database is used for describing the relationship of the resource tree, and the storage database is directly responsible for storing data; a message pushing queue is maintained in the data pushing module, the system captures a pushing event of the resource and then encapsulates the resource into a pushing message, and the pushing message is sent to a sender to send data according to a pushing address set by a user.
Furthermore, the device monitoring module in the management and control platform is used for querying the resource mapping node attribute of the specific device or establishing a subscription relationship through the resource tree management module, so as to realize real-time monitoring of the device state; the abnormal monitoring module in the management and control platform is used for acquiring real-time state attributes of data center equipment through the resource tree management module, realizing abnormal monitoring of the equipment states of IT, power supply and distribution, refrigeration, fire fighting and the like according to preset alarm rules, and pushing abnormal information to the front end through Websocket when equipment indexes meet abnormal alarm triggering conditions; and the fault management module in the management and control platform is used for acquiring the real-time state attribute of the data center equipment through the resource tree management module, starting a state monitoring thread to monitor the data center equipment in real time, and pushing fault information to the visual front end at the first time and simultaneously pushing the fault information to a user when the equipment breaks down.
Furthermore, the front-end visualization module can realize the purpose of monitoring the data center in real time through two modes of real-time monitoring and non-real-time monitoring; the 3D data center is connected with a control platform through a calling interface to acquire a resource tree, so that a plurality of isolated devices of the data center are uniformly presented and managed in a visual scene in a virtual simulation mode, a user input action instruction can be accepted, the rotation, translation and zooming functions of the data center and sub-devices of the data center are realized, and the purpose of man-machine interaction is achieved; the IT resource monitoring, power supply and distribution monitoring, energy consumption monitoring and environment monitoring module adopts various forms such as instrument panels, trend graphs and area graphs to display the running state information of the data center in an all-round way; the real-time monitoring receives equipment indexes (such as equipment state, network flow and temperature and humidity) in real time through HTTP and COAP protocols, and stores and analyzes data by adopting an internal protocol format (such as JSON); the non-real-time monitoring method comprises the steps that a request is sent through a front end, and a management and control platform obtains corresponding data according to the request to carry out analysis processing, wherein the corresponding data comprise equipment attributes, resource utilization rate and 24h electric power trend index data.
Compared with the prior art, the invention has the following advantages:
1) high expansibility and convenient development and maintenance
A data center control system data service platform based on a resource tree adopts a resource tree concept, collects different types of equipment data through various application layer protocol interfaces such as HTTP, COAP, MQTT and the like, and provides functions of data collection, resource processing, data storage and data push. Meanwhile, the resource tree management module can ensure that the system can conveniently and flexibly realize equipment monitoring, abnormal detection, fault management, remote control and background configuration management when the scales of the data center equipment and the data center are changed.
2) High real-time performance
The MQTT is adopted to realize real-time data acquisition and instruction issuing to the equipment end, the Websocket is adopted to realize real-time updating of front-end page data, and functions of real-time monitoring and timely alarming of the equipment are realized. From the test effect, the time from the beginning of the alarm change of the data center equipment to the time when the management and control system monitors the host to pack and send the alarm is not more than 7 s.
3) High applicability
The system can support various application layer protocol interfaces such as HTTP and the like, is suitable for various clients (such as mobile phones, tablets, computers and the like), can be widely applied to various fields and various network environments, can be applied to power environment monitoring of a single data center, and can also be applied to centralized monitoring of a plurality of networked data centers.
Drawings
FIG. 1 is a system architecture diagram in an embodiment of the invention;
FIG. 2 is a diagram illustrating a resource tree structure according to an embodiment of the present invention;
fig. 3 is a schematic view of monitoring an exception of the management and control system according to the embodiment of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
The embodiment provides a technical scheme: a data center control system based on a resource tree is disclosed, as shown in figure 1, the system firstly maps physical world objects such as a data center and equipment therein to virtual resources of the system according to function types to construct a complete data center resource tree. The data acquisition management module acquires data from equipment such as IT, refrigeration, power supply, UPS, environment, security protection, fire protection and the like through various application layer protocol interfaces such as HTTP, COAP, MQTT and the like, and performs virtualization description on the acquired different types of data according to the defined resource tree form and cascade rules, so that unified management and storage are facilitated. Meanwhile, the real-time monitoring, alarm control and fault control functions of the equipment are realized in a mode of actively pulling or passively pushing from the data acquisition management module through the Web API. The front end of the system realizes visualization through HTML and VUE, and real-time data updating is realized through Websocket. The management and control system comprises authority management, configuration management and remote access functions, and the safety and reliability of the system are guaranteed.
The data service platform receives working states and sensing data uploaded by each device through various application layer protocol interfaces such as HTTP, COAP and MQTT, further adopts a resource tree concept, abstracts collected different types of data into six types of resource nodes to be mapped to virtual resources of the platform for unified management and storage, and manages the resource data through a REST API interface of a virtual resource standard so as to achieve the purpose of interaction with physical devices, wherein a complete data center resource tree is shown in figure 2. The resource tree comprises six types of resource nodes including a platform node, an application node, an equipment node, a recording node, a grouping node and a notification node, and the networking description of the data center and the equipment therein is realized by cascading. Wherein the platform node is named as DSCP; the application node is a data center and named as APP; the application nodes are connected with equipment nodes such as 'calculation and storage, environmental control, power supply and distribution, fire protection' and the like, and are named as DEVs; the device node is connected with a plurality of finer-grained device nodes, recording nodes and notification nodes, and the recording nodes are responsible for storing specific data and named as RECs; and the notification node is named NOT. After the pushing event of the resource is captured inside the data service platform, the resource is packaged into a pushing message, and the pushing message is sent to a sender to send data according to a pushing address set by a user, so that data pushing is realized.
The management and control platform is based on the resource tree management module and realizes equipment monitoring, abnormality detection, fault management, remote control and background configuration management.
And the resource tree management module is used for realizing unified and convenient management of the data center through the operation of the resource tree nodes in the data service platform. Especially, when the data center equipment and scale change, the module updates the current resource tree, and the data is stored and updated through the REC recording node, so that the equipment is managed conveniently and quickly.
The equipment monitoring module is used for inquiring the resource mapping node attribute of the specific equipment or establishing a subscription relation through the resource tree management module, so as to realize real-time monitoring of the equipment state.
And the abnormity monitoring module is used for acquiring the real-time state attribute of the data center equipment through the resource tree management module and realizing abnormity monitoring of the equipment states of IT, power supply and distribution, refrigeration, fire fighting and the like according to a preset alarm rule. And when the equipment index meets the abnormal alarm triggering condition, pushing the abnormal information to the front end through a corresponding protocol. And the abnormal triggering condition is comprehensively evaluated according to the use frequency of the equipment, the occurrence probability of different fault levels, the influence on the data center and other factors, and the abnormal level is classified into serious, important and general. When the module is abnormal, the module is rechecked once every certain time (such as 2 seconds), and if the rechecking frequency exceeds the threshold value and is still abnormal, an alarm is given.
And the fault management module is used for acquiring the real-time state attribute of the data center equipment through the resource tree management module, starting a state monitoring thread to monitor the data center equipment in real time, pushing fault information to the visual front end at the first time when the equipment breaks down, and storing the fault information to the management and control platform to quickly locate and solve the fault so as to quickly restore the normal operation of the data center.
And the remote control module is used for operating (such as adding, deleting, modifying and other behaviors) the corresponding resource tree nodes of the equipment through the resource tree management module so as to realize remote control on the data center equipment.
The front end is visual, and the method mainly comprises a 3D data center, IT resource monitoring, power supply and distribution monitoring, energy consumption monitoring and environment monitoring. The data pushed by the control platform is received in real time through the Websocket, and the running state of the data center is displayed in real time in the forms of a three-dimensional model, a cloud picture, a data diagram and the like. Meanwhile, the front end of the control platform can receive user instructions or operations in a visual mode, and the aim of man-machine interaction is achieved by directly pulling or pushing MQTT data from the control platform through REST API.
The method comprises the steps that a 3D data center adopts a framework technology (such as three. js) to build a three-dimensional model, a Web API (application program interface) is called to connect a control platform, a data center resource tree is obtained, information including the shapes, space position relations and the like of various devices in the data center is obtained, the information is converted into an internal protocol format (such as a JSON (Java service object notation) file), and the purpose that a plurality of isolated devices in the data center are uniformly presented and managed in a visual scene in a virtual simulation mode is achieved; based on the method, the action instruction input by the user is received, the rotation, translation and scaling functions of the 3D data center and the sub-equipment thereof are realized, and the purpose of man-machine interaction is achieved. Meanwhile, the cloud picture is carried, so that managers can be helped to visually check the temperature distribution condition of the data center, and hot spots can be found conveniently in time. The front end of the system acquires temperature parameters from the control platform to generate a cloud picture, and immediately alarms when the temperature reaches a threshold value.
The IT resource monitoring comprises IT resource utilization rate monitoring and operation state monitoring of a computing node and a storage node; power supply and distribution monitoring comprises UPS monitoring events and power distribution temperature and output current monitoring; the energy consumption monitoring comprises energy consumption basic information, real-time electric power monitoring, energy consumption utilization rate and scheduling; the environment monitoring comprises the monitoring of temperature and humidity in the cabinet, the monitoring of an air cooling system, the monitoring of a fire fighting state and the monitoring of a water cooling system.
To sum up, the resource tree-based data central control system of the above embodiment can uniformly manage and store different types of collected data according to the defined resource tree form and the cascade rule, thereby achieving high expansibility and facilitating development and maintenance; the real-time updating of front-end page data is realized by adopting Websocket, so that the purpose of real-time monitoring is achieved; the system can support various application layer protocol interfaces such as HTTP and the like, and is suitable for various clients such as mobile phones, tablets, computers and the like; the system can be widely applied to multiple fields and multiple network environments, can be applied to power environment monitoring of a single data center, and can also be applied to centralized monitoring of multiple networked data centers.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. The utility model provides a data center control system based on resource tree which characterized in that: the system comprises a data service platform, a control platform and a front-end visualization module;
the data service platform adopts a resource tree concept to realize unified management and storage of data of various different devices and components according to a defined resource tree form and a defined cascade rule;
the management and control platform is based on a resource tree management module and is used for realizing equipment monitoring, abnormality detection, fault management, remote control and background configuration management; the resource tree management module is used for realizing convenient and unified management of the data center through operation on the resource tree nodes in the data service platform, receiving changes of the resource tree nodes in the data service platform in real time and realizing real-time updating of the resource tree management;
the front-end visualization module is used for cleaning, processing and analyzing data pushed by the management and control platform, providing functions of a 3D data center, IT resource monitoring, power supply and distribution monitoring, energy consumption monitoring and environment monitoring in the form of a three-dimensional model, a cloud picture and a data chart, achieving the purpose of real-time management and control of the data center, receiving user instructions or operation, directly pulling data from the management and control platform through an REST API (resource response time interface) or pushing data through an MQTT protocol, and achieving the purpose of man-machine interaction;
the data service platform, the control platform and the front end visualization module are sequentially in communication connection.
2. The resource tree based data center control system according to claim 1, wherein: the resource tree realizes the Internet of things description of the data center and equipment therein through the cascade connection of six types of resource nodes; wherein the platform node is named as DSCP; the application node is a data center and named as APP; the application node is connected with equipment nodes of 'calculation and storage, environmental control, power supply and distribution and fire fighting' and named as DEV; the device node is connected with a plurality of finer-grained device nodes, recording nodes and notification nodes, and the recording nodes are responsible for storing specific data and named as RECs; and the notification node is named NOT.
3. The resource tree based data center control system according to claim 1, wherein: the management and control platform further comprises an equipment monitoring module, an abnormity detection module, a fault management module and a remote control module, wherein the modules are matched to acquire real-time state information of the equipment through the resource tree management module, so that the purposes of timely discovering abnormity, timely removing faults and remotely controlling the data center are achieved.
4. The resource tree based data center control system according to claim 3, wherein: the management and control platform further comprises a background configuration management module which is used for managing the relevant configuration parameters of the system through the configuration database.
5. The resource tree based data center control system according to claim 3, wherein: the equipment monitoring module is used for performing attribute query or establishing a subscription relation on a specific equipment resource tree node through the resource tree management module so as to realize real-time monitoring on the equipment state; the anomaly monitoring module acquires real-time state information of the data center equipment through the resource tree management module, and further discovers abnormal points of the equipment in advance according to preset rules to prevent faults from occurring; the fault management module acquires the real-time state attribute of the data center equipment through the resource tree management module, starts a state monitoring thread and finds and solves equipment faults in time; and the remote control module operates the corresponding resource tree nodes of the equipment through the resource tree management module to realize the remote control of the data center equipment.
6. The resource tree based data center control system according to claim 5, wherein: the mode of operating the corresponding resource tree node of the equipment through the resource tree management module comprises any one or a plurality of combinations of addition, deletion and modification.
7. The resource tree based data center control system according to claim 1, wherein: the front-end visualization module realizes the purpose of monitoring the data center in real time through two modes of real-time monitoring and non-real-time monitoring; the real-time monitoring mode receives the equipment indexes in real time through HTTP and COAP protocols, and stores and analyzes data by adopting an internal protocol format; the non-real-time monitoring mode sends a request through the front end, and the management and control platform acquires corresponding data according to the request to perform analysis processing, wherein the corresponding data comprises equipment attributes, resource utilization rate and 24h electric power trend index data.
8. The resource tree based data center control system according to claim 1, wherein: the 3D data center uniformly presents and manages a plurality of isolated devices of the data center in a visual scene in a virtual simulation and cloud picture mode; after data pushed or requested by the management and control platform are analyzed and processed through IT resource monitoring, power supply and distribution monitoring, energy consumption monitoring and environment monitoring functions, the running state information of the data center is displayed in all directions in various forms.
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| CN113032364A (en) * | 2021-03-22 | 2021-06-25 | 中国电子科技集团公司第三十八研究所 | Data service platform visual management tool, method and application based on resource tree |
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