Cloud computing is not a bottleneck in the virtualization of the Levee network

Source: Internet
Author: User
Keywords Cloud computing virtualization

The industry's controversy over cloud computing has shifted from cloud computing to cloud computing, but there are still many misconceptions. A few days ago, a large number of experts to discuss the matter, the landing of cloud computing, not all applications are suitable for virtualization, and the scale of the use of the cloud, good network conditions are essential.

Do not virtualize for virtualization

It is generally believed that a feature of cloud computing services is that it is divided into virtualization technology and provided to users on the basis of user needs. However, Li Huewei, general manager of China Aviation Service outsourcing services, said that virtualization is only part of cloud computing and not virtualized for virtualization.

In 2008, AVIC began migrating to X86 and virtualization platforms, involving nearly 60 businesses, which took about a year to complete migration to a virtualized platform. But Li Huewei says that virtualized data centers include not only virtual machines, but also many X86 physical entities, not all services throughout the migration process, or not all applications are ideal for virtualization.

Wei further said that the Chinese aviation letter more traditional including the Web layer, the three-tier architecture of the application tier and the database layer, the Web layer 100% virtualization, the application system can only migrate percent, a lot of third-party tools, from the original server to the virtual environment, the operation will be very slow; The 90% database is not running in a virtualized platform, where 20% of the databases are running on the X86 server, and more than 70% of the data is running on UNIX.

Orange Business Services China's chief technology officer also Liu Xin that the process of migrating to cloud computing is not just a technical issue, there are many aspects to consider, it needs to be integrated with traditional it architectures, some systems are not suitable for virtualization or distributed deployments, and some applications cannot be virtualized. In other words, two sets of systems are coexistence.

Lin Tao, chief engineer of the Ministry of Industry and Information technology, said the cloud was using virtualization technology, but noted that the current technology for server virtualization is immature, especially since standards have not yet been established, and that the technology between vendors is not compatible with each other.

A few days ago, when VMware provided a free VMware accept software to support the conversion of Microsoft's virtual machine format to VMware format, Microsoft introduced a software named Microsoft Virtual Machine Accept, Enables smooth conversion of VMWare virtual machines and virtual hard disk file formats to Hyper-V virtual machines and Microsoft virtual hard disk files.

However, because of the exclusivity of CPU hardware-assisted virtualization technology, users still need to choose between using Hyper-V (the upcoming Windows 8 built-in) and VMware virtual machine software.

The network is the foundation of cloud computing scale development

As the core of IT infrastructure, the network plays the main role of interworking, integration and 0 bearing. Lin Tao said that the cloud unit (the basic concept of cloud formation) needs to be connected by a high-speed broadband network, so broadband networks are the basis of the cloud. Huiling, deputy Dean of China Telecom's Beijing Research Institute, said the network capability is the basis of cloud computing scale development, without broadband network, cloud service is not.

As a result, cloud computing has brought huge changes to a new generation of networks and data centers.

However, Lin Tao pointed out that the current cloud computing network is quite immature, not to mention the broad sense of the network is simply impossible to use, at least the domestic network, used for cloud computing is not available, even if your data center network, this network is quite immature. If you hang up 10,000 servers, you can see which websites support it. So he thinks that technology is available, but it's all in the early stages of development.

H3C Cloud computing Business Minister Wu Jian also said that in the real cloud deployment process, servers and storage in the IT infrastructure are not too much of a problem, but the network segment can be a big challenge, or it is likely to be a bottleneck, with 50% of the problems appearing on the web, This is the problem that they discovered after they actually deployed the cloud computing agency.

Although the people who put forward the network bottleneck are all from the telecom into the cloud computing domain, but if the cloud computing to scale application, the network Foundation really is a question which needs the objective consideration.

Private clouds are not necessarily self built

In China, because of security considerations, Oberyun's view of private cloud is accepted by users, and Microsoft and other manufacturers also use private cloud as the main strategy of China's cloud computing market.

It is generally believed that private cloud is built inside the enterprise, but Yianyang, general manager of China National Securities Information Technology department, points out that the concept of private cloud is often confusing.

Yianyang says private clouds are not necessarily built within their own company, some are placed in external service vendors, and the cloud used specifically for an organization is called a private cloud.

Yianyang also believes that there will be a situation of the Alliance private Cloud, in the United States to do some community cloud, there are common interests of organizations, they find the appropriate service providers to build a private cloud of the alliance, the organization to provide the corresponding professional services. Yianyang that this form is from the corporate private cloud to the road to public clouds.

Information experts, the Director of the Institute of Co-Liu Guaquan, said that the use of the cloud, should be idle computing resources to use, are built is a misunderstanding, the cloud should be distributed deployment, centralized use, specialization of division of labor.

The future toward Big data

Lin Tao that the physical entity of cloud computing is the data center, Huiling also said that the data center is the core of cloud computing scale, Yianyang believes that it is necessary to improve the enterprise-level data center, if there is no integration between the system into the cloud, the price is very large. From the perspective of the securities industry, Yianyang that it can guide the change to data aggregation integration, to avoid the coordination of functional departments in the industry problems.

For some enterprises, the data center is not perfect. Yianyang further points out that with the landing and deepening of cloud computing, the entire enterprise-class data center must evolve into a social data center. From a semi-closed state to a fully open model. Such a shift would have a very large impact on the business architecture, the management structure and the technical framework. Therefore, how to deal with unstructured data, how to deal with massive data, how high-speed to deal with these data, we have to face large data three relatively critical latitude.

Li Huewei said that the data warehouse platform of the OLAP system, parallel processing capacity is more important, equivalent to multiple machines into a machine in use, this is the cloud itself a technology.

However, on such platforms, as the number of growth, the data load cycle is getting longer. Therefore, the aviation letter also faces the request of the diversity of Internet data, the massive data processing, the unstructured data processing, this kind of high complexity processing, moreover in the Intelligent Analysis request quick response, faced these challenges, the system simply cannot cope with the deep level high agility this kind of visit, therefore needs to develop the big data development strategy.

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