What technologies should be integrated into cloud computing data center construction?

1, the composition of cloud computing data center

Cloud computing data centers are essentially comprised of cloud computing platforms and cloud computing services. Cloud computing services include applications, software, tools, and computing resource services that are provided to users through various means of communication, and the cloud computing platform includes a secure, reliable and efficient operating hardware and software platform to support these services. The cloud computing platform integrates the hardware and software of one or more data centers, forms a layered virtual computing resource pool, and provides computing, storage, and network communication capabilities that can be dynamically provisioned and smoothed to support the implementation of cloud computing services.

Cloud computing platform is the internal support of cloud Computing center, at the core of cloud computing technology system. It is data-centric, with virtualization and scheduling technology as the means, by establishing a physical, scalable, configurable, bindable pool of computing resources, integrating server clusters and storage groups distributed across the network, and providing a secure and reliable variety of application data services, combined with the ability to dynamically allocate and smooth the expansion of resources.

2, Cloud Computing data Center implementation process

Cloud Computing Data Center implementation is not a simple software and hardware integration project, before implementation needs careful assessment and overall planning, fully consider the cloud Computing data center management model, and the future operation model into the overall planning, so that can fully play the role of cloud computing platform.

Combined with the survey of Cloud computing Center user needs and the implementation experience abroad, the current cloud computing data center infrastructure implementation is divided into the following 5 stages:

1 planning stage: to treat the cloud computing Center as a strategic issue, senior management should give great attention and support, and identify the goals to be achieved in each phase, from the Business Innovation and IT service transformation of the height of planning and deployment.

2 Preparation stage: According to the characteristics of the industry, fully understand the user using cloud Computing data Center to obtain the service and application requirements, and the cloud computing platform for adequate evaluation, select the appropriate technical framework. At the same time, fully consider the operability of system expansion and migration to ensure the continuity of infrastructure platform technology and core business continuity.

3 Implementation phase: Resource virtualization is the foundation of the Cloud Computing center, and it can meet the requirements of security, reliability, scalability, and flexibility by building a virtualized platform that supports heterogeneous platforms.

4 The deepening stage: on the basis of realizing platform architecture virtualization, we should also realize the automation of resource dispatching and distribution, and lay a good foundation for overall management and self-service service.

5 Application and Management phase: The basic feature of cloud computing is openness, and the cloud computing platform should be able to provide standard API implementations compatible with existing applications. All application porting is a step-by-step process, and the cloud infrastructure needs to be a good support for core applications, not just new requirements. At the same time, cloud computing platform construction is a closed-loop process that needs to be continuously improved.

3. Key technologies of cloud computing data center

The construction of the cloud Computing data Center incorporates a number of new technologies, mainly including the following.

1 Virtualization Technology

The application domain of virtualization technology involves many aspects, such as server, storage, network, application and desktop, and different types of virtualization technology solve different system performance problems from different angles.

Server virtualization is a rapid division and dynamic deployment of server resources, which reduces the complexity of the system, eliminates the disorderly spread of equipment, and achieves the goal of reducing operating costs and improving asset utilization.

Storage virtualization centralizes storage resources into a large pool of resources and is managed in a unified way, changing storage systems and data migrations without disruption and improving the dynamic adaptability of the entire system.

Network virtualization increases the number of connections and reduces network complexity by virtualizing a physical network node into multiple nodes and integrating multiple switches into a single virtual switch to optimize the capacity of the network.

Application virtualization helps improve service delivery by dynamically allocating resources to where they are most needed, and increases the availability and performance of applications.

Cloud computing Data centers implement system-wide virtualization across it architectures based on the virtualization technology described above, unified management, provisioning, and monitoring of all resources, simple and effective integration of a large number of decentralized, underutilized physical resources into a single large virtual resource without the need to extend important physical resources and enable it to run efficiently for a long time, thus maximizing energy efficiency and resource utilization.

2 flexible scaling and dynamic deployment

Elastic scaling can be considered in two aspects, vertical and horizontal. Vertical scalability means adding resources to the same logical unit to improve processing capabilities, such as increasing the CPU on an existing server or adding a hard disk to existing Raid/san storage; Horizontal scalability refers to adding more logical units of resources and consolidating them as a unit at work.

Dynamic provisioning is to allocate and manage the computing resources automatically according to the change of the requirement, and realize the scaling and optimization of the High "elasticity", while the users are not involved in the specific operation process.

3 Efficient and reliable data interchange and event handling

Data transmission Exchange and event processing system is the message and data interchange hub of cloud computing center, can not only use multicast protocol to pursue speed, and can not only use TCP to pursue reliability, but need to combine the advantages of a variety of protocols, effectively control the distribution of data flow between the various components of the network, to ensure the flow of data channels, The reliability and security of information exchange. At the same time, in order to meet the diversity of system application and the requirement of business real time, we should also consider many kinds of connection methods, such as point-to-point, point-to-point, multi point and multiple points.