CN105227666A - The whole machine cabinet management framework that a kind of facing cloud calculates - Google Patents

Abstract

This application provides a cloud computing-oriented whole cabinet management architecture, including computing device resource pools, storage device resource pools and network device resource pools, data service and policy management modules, used for configuration file-driven storage, data input/ Output control and data service management; application API management module for management of various application data; data mobility management module for distributed resource scheduling and virtual machine migration; computing device resource pools, storage device resource pools and network devices The resource pools are connected to the data service and policy management module through API; the application API management module performs data interaction with the data service and policy management module and the data mobility management module respectively. According to different applications, devices are divided into computing device resource pools, storage device resource pools, and network device resource pools, which can support various applications in a cloud computing system architecture.

Description

A whole cabinet management architecture for cloud computing

technical field

The present application relates to the field of cloud computing, in particular to a cloud computing-oriented whole cabinet management architecture.

Background technique

With the development of technology, people pay more and more attention to the cloud computing-oriented rack management architecture.

At present, with the development of cloud computing applications, it is necessary to support a variety of applications in a cloud computing system architecture, such as computing applications, storage applications, and network applications. Inter-type devices are managed.

Contents of the invention

The technical problem to be solved in this application is to provide a cloud-computing-oriented whole cabinet management framework capable of supporting various applications in a cloud-computing system framework, such as computing-type applications, storage-type applications and network-type applications.

The specific plan is as follows:

A cloud computing-oriented whole cabinet management architecture, the architecture includes:

Computing device resource pools, storage device resource pools and network device resource pools;

Also includes:

Data service and policy management module for configuration file-driven storage, data input/output control, data service management;

The application API management module is used for the management of various application data;

Data mobility management module for distributed resource scheduling and virtual machine migration;

The computing device resource pool, the storage device resource pool and the network device resource pool are all connected to the data service and policy management module through an API;

The application API management module performs data interaction with the data service and policy management module and the data mobility management module respectively.

In the above architecture, the computing device resource pool adopts a distributed multi-level management mode.

In the above architecture, the computing device resource pool includes:

multiple computing devices, multiple sub-management modules, and a rack management module;

Each of the sub-management modules uniformly manages all computing devices in the same area corresponding to the sub-management modules;

The cabinet management module uniformly manages the multiple sub-management modules.

In the above architecture, the computing device includes:

On-board management unit, I2C/GPIO controller and power controller;

The on-board management unit is used for supervising and controlling the running state of a single computing device;

The I2C/GPIO controller is used to realize the management of all devices on a single computing device;

The power controller is used to provide stable power supply for all electrical equipment.

In the above-mentioned architecture, the sub-management module includes:

Serial port expander, I2C expander, GPIO expander and communication unit;

The serial port expander, I2C expander, and GPIO expander are respectively used to implement the sub-management module's collection of serial port, I2C and GPIO data in all computing devices in the management area and the transmission of management and control information.

In the above architecture, the cabinet management module includes:

Control unit, I2C controller and communication unit;

The control unit is used for processing data and management information;

The I2C controller is used to monitor the power supply status of the power supply module in the system and output power supply management, and to manage the power supply of all computing devices, network devices and storage devices in the entire cabinet;

The communication unit is used for exchanging and transmitting network data.

In the above architecture, the communication unit in the rack management module is connected to the management device of the client.

In the above architecture, when there are multiple rack management modules,

The communication units in the plurality of rack management modules are connected in pairs.

A cloud computing-oriented whole cabinet management framework provided by the present application includes computing device resource pools, storage device resource pools, and network device resource pools; in addition, it also includes: data service and policy management modules for Configuration file-driven storage, data input/output control, data service management; application API management module, used for management of various application data; data mobility management module, used for distributed resource scheduling and virtual machine migration; the computing The device resource pool, the storage device resource pool and the network device resource pool are all connected to the data service and policy management module through API; the application API management module is respectively connected to the data service and policy management module and the The above data mobility management module performs data interaction. According to different applications, devices are divided into computing device resource pools, storage device resource pools and network device resource pools, which can support various applications in a cloud computing system architecture, such as computing applications, storage applications and network applications .

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 is a schematic structural diagram of an embodiment of a cloud computing-oriented whole cabinet management architecture of the present application;

Figure 2 is a schematic diagram of a management architecture for a single cabinet;

FIG. 3 is a schematic diagram of interconnection topology among multiple cabinets.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

Referring to FIG. 1 , it shows a schematic structural diagram of an embodiment of a cloud computing-oriented whole rack management architecture of the present application.

In this application, according to different applications in the market, it can be divided into computing device resource pools, storage device resource pools, and network device resource pools.

The architecture also includes a data service and policy management module, which is responsible for configuration file-driven storage, data input/output control, and data service management, including snapshots, cloning, replication, data protection, thin provisioning, etc.; application API management module , used for the management of various application data, divided into software-defined computing, software-defined storage and software-defined network according to different applications; data mobility management module, used for distributed resource scheduling and virtual machine migration.

The computing device resource pool, the storage device resource pool and the network device resource pool are all connected to the data service and policy management module through APIs.

The application API management module performs data interaction with the data service and policy management module and the data mobility management module respectively.

In the cloud computing-oriented whole cabinet management architecture, the pool management of virtual devices based on different applications is realized, and software-defined computing resources, software-defined storage resources, and software-defined network resources are supported. At the same time, with specific data management and service strategies, Realize distributed resource scheduling and virtual machine migration.

In a cloud computing-oriented whole cabinet management framework provided by this application, according to different applications, devices are divided into computing device resource pools, storage device resource pools, and network device resource pools, which can be integrated into a cloud computing system architecture Support various applications, such as computing applications, storage applications and network applications.

In this application, the computing device resource pool adopts a distributed multi-level management mode, and the computing device resource pool in this mode includes:

Multiple computing devices, multiple sub-management modules, and an enclosure management module.

Each sub-management module uniformly manages all computing devices in the same area corresponding to the sub-management module.

The cabinet management module uniformly manages the multiple sub-management modules.

Due to the large number of physical computing devices supported in the computing device resource pool, distributed multi-level management is adopted for the entire cabinet architecture. The computing devices in each logical area will be managed by the sub-management modules in charge of each area. Unified management of equipment. The sub-management modules in each area are unified into the cabinet management module of a single cabinet, and the cabinet management module realizes consistent management of computing devices in all logical areas.

In this application, in order to overcome the problems of numerous physical devices, large management scale and disorder in cloud computing applications, a multi-level and distributed management architecture based on board-level management, domain-level sub-management and cabinet-level management is adopted, not only Realize the horizontal expansion of the management scale in the system, enhance the scale of the system management equipment, and improve the isolation of the system management security.

Figure 2 shows a management architecture for a single cabinet, which is divided into three levels: computing equipment, sub-management modules, and cabinet management modules.

The computing device is composed of three parts: an on-board management unit, an I2C/GPIO controller, and a power controller. The execution of operation instructions, the supervision of computing and storage resource usage; the I2C/GPIO controller is used to realize the management of all devices on the board, including the acquisition of device information and status switching; The electrical equipment provides a stable power supply, and cooperates with the management unit to implement specific policy power consumption control.

The sub-management module is responsible for realizing the management of multiple computing devices. The whole module is composed of a serial port expander, an I2C expander, a GPIO expander and a communication unit. , I2C and GPIO data collection and management and control information transmission; the communication unit is the core of the sub-management module, on the one hand, it is responsible for the processing and control of the management data of multiple computing devices summarized in the lower domain; on the other hand, it is responsible for the corresponding in the system Read the data of the fan module in the domain and control the running speed of the fan; finally, it will pass its own data and management information to the cabinet management module to realize the centralized and unified management of inter-domain devices for various domains.

There will be a top-level cabinet management module in each cabinet system, and the top-level cabinet management module will implement consistent management of computing devices in all logical areas. The cabinet management module is composed of a control unit, an I2C controller and a communication unit. The control unit is responsible for the processing of data and management information; the I2C controller is responsible for monitoring the power supply status and output power supply management of the power supply modules in the system, realizing the control of the whole machine. The power supply management of all computing, network and storage devices in the cabinet; the communication unit is responsible for the exchange and transmission of network data. On the one hand, it realizes the data communication between the management Cascading management among multiple cabinets among top-level management modules.

Figure 3 shows the interconnection topology between multiple cabinets. Through the management module on the top layer of the cabinet, on the one hand, the data communication between the management device of the client and the whole cabinet system oriented to cloud computing can be realized; on the other hand, the independent The top-level management modules in the cabinet system are connected to realize cascade management between multiple cabinets based on the top-level management modules.

The new management architecture supports cascading management across cabinets, realizes cloud platform-level management pooling, and supports unified and centralized deployment and management

It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. For the same and similar parts in each embodiment, refer to each other, that is, Can.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above is a detailed introduction of a cloud-computing-oriented whole cabinet management framework provided by this application. In this paper, specific examples are used to illustrate the principle and implementation of this application. The description of the above embodiments is only for helping understanding The method of this application and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation and scope of application. In summary, the content of this specification should not understood as a limitation of the application.

Claims (8)

1. a whole machine cabinet management framework for facing cloud calculating, it is characterized in that, this framework comprises:

Computing equipment resource pool, memory device resource pool and network equipment resource pond;

Also comprise:

Data, services and policy management module, for configuration file drive storage, data I/O control, data, services management;

Application API administration module, for the management of various application data;

Data mobile administration module, for distributed resource scheduling and virtual machine (vm) migration;

Described computing equipment resource pool, described memory device resource pool are all connected with policy management module with described data, services by API with described network equipment resource pond;

Described application API administration module carries out data interaction with described data, services and policy management module and described data mobile administration module respectively.

2. framework according to claim 1, is characterized in that, described computing equipment resource pool adopts Distributed-tier level management mode.

3. framework according to claim 2, is characterized in that, described computing equipment resource pool comprises:

Multiple computing equipment, multiple sub-administration module and a cabinet management module;

All computing equipments in the same area that each described sub-administration module unified management is corresponding with described sub-administration module;

Multiple sub-administration module described in described cabinet management module unified management.

4. framework according to claim 3, is characterized in that, described computing equipment comprises:

Administrative unit, I2C/GPIO controller and power-supply controller of electric on plate;

Administrative unit on described plate, for supervision and the control of single computing equipment running status;

Described I2C/GPIO controller, for realizing the management to devices all on single computing equipment;

Described power-supply controller of electric, for providing stable electricity supply for all power consumption equipments.

5. framework according to claim 4, is characterized in that, described sub-administration module comprises:

Serial extended unit, I2C expander, GPIO expander and communication unit;

Described serial extended unit, I2C expander, GPIO expander, be respectively used to realize described sub-administration module to serial ports in computing equipments all in management area, I2C and GPIO data gather and manage, control information transmission.

6. framework according to claim 5, is characterized in that, described cabinet management module comprises:

Control unit, I2C controller and communication unit;

Described control unit, for the process of data and management information;

Described I2C controller, for monitoring and the output power supply management of the power supply status to supply module in system, to the power supply management of computing equipments all in whole machine cabinet, the network equipment and memory device;

Described communication unit, for exchange and the transmission of network data.

7. framework according to claim 6, is characterized in that, the communication unit in described cabinet management module is connected with the management equipment of client.

8. the framework according to claim 6 or 7, is characterized in that, when having multiple cabinet management module,

Be connected between two between communication unit in multiple described cabinet management module.