Data center migration, heterogeneous resource management

Data center migration, as industry informationization and IT strategy have been widely promoted in the whole society, domestic data center and IDC market have entered a new stage of development.On the demand side, the business of IDC is gradually showing the trend characteristics of smart activation, fast speed and customization, and the trend of integration and transformation of the data center will be promoted.However, the change of operation mode brings many challenges to IDC's resource management, including the large amount of resources, the higher requirements for detailed management, and the difficulty in the management of resource coordination and balance.

In the face of challenge, how to build a comprehensive and efficient resource management system of cloud data center has become the key to break the game.Anhui, China mobile company, from the perspective of the software and hardware two lines, to build centralized resource management support system, and set up the mechanism of operation process in whole life cycle, with "tube" and "good" for the implementation of the guidance, precision management, IDC resources potentialities and synergies, continue to improve data center resources efficiency.

To realize the "alignment of the resources" of the resources.

In recent years, a large number of data centers by leaps and bounds, cross data center cloud pattern is gradually forming, its size and complexity to such factors as the morphology change made IDC resources quantity, variety, levels of the status quo.The data center resource needs to implement the step-by-step and detailed management solution.Must first clarify resources, will existing resources collected particles classify, total amount, again from both the stock of resource management, dynamic change in three aspects of resource management, resource norm error correction in closed loop maintenance, namely the "law of three tube", precision management resources.

Untangling resources is the basis of resource management.With the current general cloud IDC and traditional IDC business, the data center resources can be divided into four categories: cloud resources, network and security resources, transmission resources, and power supporting resources.By total to points, 4 big resources total is divided into nine resource pool, 31 system segmentation, comb the resource capacity, occupancy, resources available, operation, monitoring and other listing, and real-time monitoring.For example, the resource pool can be divided into space resources, power supply resources and refrigeration resources. The space resources can be divided into cabinet, micro module and machine room according to the hierarchy.The power supply resource is divided into high and low voltage distribution, oil machine and communication power according to the power supply topology.The refrigeration resources can be divided into single cabinet cold pool, micromodule cold pool, and refrigeration station cold pool three types.It is the data base of all refined management means to coordinate resource granules and control various heterogeneous resource forms.

Inventory resource management, namely the centralized supervision of existing resources in the data center.On the premise of clear background, relying on the centralized resource management module, borrows the ring system, integrated network management system, transmission network management system, the cloud management platform and artificial adjusting entry five means of support, accurate docking the real-time monitoring data of professional resources, so as to realize the automation of full amount of resource acquisition, implementation of unified management of both stock resources.On this basis, build a list of management functions, establish a visual system configuration model, accurately calculate the resource capacity, clear the available space, and provide guidance for further resource management.

Change of resource management is the normal and accurate maintenance of the dynamic nature of resources.Based on the existing resource management, the closed-loop process of resource management is developed based on the different phases of traditional IDC and cloud IDC.In view of the traditional IDC's cabinet + bandwidth business, the resource management shall be implemented according to the pre-occupied application, implementation, recovery and expansion.For cloud IDC business, publish cloud resource management process, clear resource application, allocation, recovery management specification.At the same time, to integrate IDC operation management platform as the springboard, the established management process is embedded in the process, and the change resource closed-loop management is realized to ensure the long validity of the resource data.

Resource error correction management can correct the data errors caused by long - term reversal of resources.From actual production experience, with the dynamic changes of the resources, all kinds of resources inevitably by reason of engineering adjustment and lead to a certain degree of data correction, relationship can rely on resources, in the business of each customer will take the cabinet, bandwidth resources such as overlay, and compare the system has been used resource, so as to carry out automatic verification;And by defining the quality report of all professional data verification, organizing the manual verification and verification, and establishing the mechanism of data correction for long-term resources.In terms of automation error resources inventory, the forefront of the industry has been more pilot inputs, such as intelligent patrol robot, its internal network equipment, servers and other equipment parameters such as shape, LCD meanings, data model, by setting the patrol route, automatic inspection room and to upload resources data in real time, full automatic implementation of the verification work.

Overall compatibility, the implementation of resources "well used"

Represented by operators IDC cloud of new data center, different from traditional data center for self-use, resource distribution is more scattered, resource synergy business scenarios are more diverse, balanced management more difficult.If the resource cooperation is not fully considered, the resource benefit will not be maximized, resulting in the coexistence of waste and bottlenecks.IDC cloud resource usage, need on the basis of resource "quasi", from the business, build a multidimensional resource collection, and demand from the rigid resources and flexible resource needs two classification, this paper based on the principles of business characteristics to resource allocation, formulated as a whole solution compatible resources, thus the lean potentialities and resource efficiency, realize resources "good".