Mathematical model to help you analyze and build a cloud computing data center

Source: Internet
Author: User
Keywords Cloud computing Data center cloud computing

By analyzing the construction cost, market business development and comprehensive management of cloud computing data Center, this paper establishes the construction operation model of cloud computing data center, combined with the development of cloud computing at home and abroad, gives suggestions and opinions for enterprises, government and telecom operators to build and operate cloud computing data center.

1 Cloud Computing Data Center definition

1.1 Cloud computing and cloud computing data center

The development of cloud computing is not necessarily related to the development of cloud computing data center, and it is a loosely coupled relationship. This is now where the industry is confused about cloud computing and cloud computing data centers. Cloud computing technology and business development can be based on traditional data centers and traditional network architecture development, but on this basis and architecture, cloud development is slow, and can not play the biggest advantage of cloud computing. And the cloud Computing data center is actually to achieve the maximum efficiency of the data center, design the data center that conforms to the cloud computing development pattern, it is a kind of post matching way. So what do we think about the relationship between cloud computing and cloud computing data centers in the era of cloud computing?

Here we go back to the nature of cloud computing thinking. The nature of cloud computing from 2 angles, one is the allocation of resources and distribution patterns of the transformation of the way. Resources include computing resources, storage resources, and bandwidth resources. The second is the transformation of the mode of providing service to customers.

From the technical point of view, cloud computing is the way of resource allocation and distribution pattern change. In traditional IT development mode, resources (including computing, storage and other resources) distribution is independent small system. Although it is possible that many it devices are within a data center, they use their respective CPUs, memory, and storage, and they will never have resources across domains. And cloud computing allows everyone to share computing resources, the level of sharing can be for the application system, can also be for customers, even in the network of operators have shared. For most systems, sharing increases efficiency is an indisputable fact.

From a customer-service model perspective, cloud computing provides an automated, highly granular, and personalized service. This is also a big difference from traditional IT services. Traditional IT service is ready-made package, unless pay a high price, otherwise can not obtain the refinement and personalized service. Of course, for cloud computing, many users have concerns about shared security, data confidentiality, and so on. There are some ideas that need to be recognized, a simple analogy, we all rest assured that the cash into the bank, why would not trust the data into the operator?

If an enterprise is going to do cloud computing, if the enterprise itself is an information service provider, she may be more interested in the advanced nature of cloud computing at the technical level, and if the enterprise is a customer service provider, then she is more likely to value the cloud service itself to the customer. The latter is the cloud service.

1.2 Cloud services and cloud computing data center

The implementation of cloud services is much harder than the implementation of cloud computing. In fact, a new type of service has certain requirements for both the service provider and the service providers. That is to say, cloud service accept object must have certain it facility or it informationization degree Foundation, can accept cloud service better, in which information degree also includes customer to it informationization acceptance degree, dependence degree and cognition degree and so on related soft element.

The level of implementation of cloud services determines the enthusiasm, capacity, and scale of the operators that provide cloud services to build cloud computing data centers. As we all know, Cloud computing data Center has dual development direction, one is cloud service, one is enterprise internal private cloud. The former mainly customer-oriented, generate new revenue, the latter mainly for the enterprise itself, save the original cost. However, in the same way, the construction of cloud computing data center is not related to its development direction. For cloud computing data centers that host private clouds that are primarily internal to the enterprise, the need for operations may be questioned. From the macro level, or from the whole enterprise perspective, the internal private cloud is actually "create value." Therefore, the operational objectives are consistent.

From the above analysis we can see that in order to truly provide cloud services, cloud Computing data Center is an essential foundation.

1.3 Cloud Computing Data Center definition elements

What exactly is a data center really called a cloud computing datacenter? We can define a cloud computing datacenter like this:

Under the current technology level, the cloud Computing data center is a kind of new data center based on cloud computing architecture, computing, storage and network resource loose coupling, completely virtualization all kinds of IT equipment, high degree of modularization, high degree of automation and high green energy saving degree.

From the above definition, we can draw the following elements of cloud computing data Center:

Virtualization level: Includes server, network, storage, and so on virtualization.

The degree of loose coupling of computing, storage and network resources: Users can use any of the one or two resources alone and not rigidly adhere to the carrier's similar package services.

The degree of modularity: the degree of hardware and software separation within the data center, and the degree of modularity in the computer room.

Automation Management: The computer room of the physical server, virtual Server management, the relevant business automation process management, customer service charges and other services such as automated management.

Green energy-saving degree: The real cloud computing data center in all respects conforms to the green energy-saving standard, the general Pue value does not exceed 1.5.

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