Fang: Domestic virtualization drives large data Energy multiplier

"Sadie Network News" December 8, "Seven government/Industry information Security Annual Meeting" held in Beijing. At the meeting, the principal researcher of the Institute of Software Research, Chinese Academy of Sciences, the chief Scientist of Knowledge Innovation Engineering of CAS, and Kinshan, a technical advisor to the National Security Bureau, pointed out that virtualization must be highly valued in the era of large data

"Big Data" is undoubtedly the hottest word at the moment, and it's even seen as "a new economic element tied to capital and Labor", which is undoubtedly a high praise for big data. Since large data sources are extremely rich, there are many types of data, not only unstructured and semi-structured data from information, but also data based on data analysis, which are not all loaded by traditional technology, nor can the traditional data center be managed and analyzed. Not long ago, at Gartner's Symposium IT Expo Symposium, analyst David Cappuccio outlined the ten "key" technology trends for the next five years, in addition to the familiar "cloud services" and "Internet of Things". Virtual Data Center is also on the list.

In virtual data centers, physical devices are no longer the focus of data centers. The use of virtualization allows physical functions to be removed, related software and data are run on virtual devices, resources are optimized based on policies, and specific tasks can be handled from physical limitations. At the same time, a large number of high-speed growth, multidimensional, structural and unstructured data will be more dynamic and flexible to be managed and analyzed. According to the data, the current number of virtual servers and entity servers is now 11:1, which is increasing as users ' demand for virtual data centers grows.

"Domestic virtualization will be a better way to build virtualized data centers, thus driving large data energy multiplier." "Domestic virtualization products and solutions provider, Beijing Fang software company chief engineer pointed out." Server virtualization As an example: Server virtualization Reliability technologies are divided into highly available (high availability,ha) and fault-tolerant (fault-tolerant,ft) Two aspects depending on the level of availability. Availability is the time that a system or component can continue to serve, and availability is measured by the percentage of the time available for one year of service, and the currently widely used high availability metric is 99.999%, or 5 minutes for one year downtime. Server virtualization Ha is specifically the ability of a virtual machine to provide continuous service. FT means that a backup system or component can take over immediately when unplanned outages do not result in any loss of business and data. The user needs to choose which kind of high reliability technology to use according to the actual business choice.

Although in the virtualization market, VMware as the representative of foreign manufacturers early start, investment, large market size. However, as a domestic virtualization manufacturers, Fang Software is clearly more able to read the hearts of domestic users.

Virtualization high availability, the square from the foundation, the first is provided by the server virtualization Ha high-level security is provided by the Square object virtualization software directly, without the need for additional expensive dedicated backup software; the second is that there is no need for the consistency of hardware configurations such as CPU, memory, disk, and so on for the primary server and the backup server. The Intel CPU can be used on the primary server, while the backup server uses the AMD CPU to achieve HA high availability protection. This, even many foreign virtualization manufacturers can not do; the third is that the primary server and backup server can run different businesses at the same time, do not need to backup the server's resources idle, as long as the backup server redundant resources sufficient to meet the primary server business system minimum requirements, you can achieve ha high availability protection. These greatly improve the user's input-output ratio. At the same time, the square object supports the virtual Machine CPU resource control, can realize the flexible resource disposition, but also can support the virtual machine bulk operation, greatly improves the management efficiency.

For fault tolerance, if the primary server has unplanned downtime, the square allows the backup server to automatically detect downtime and automate the migration of business systems to the backup server, thereby safeguarding the security and integrity of the data, ensuring continuity and consistency of the business, and avoiding catastrophic consequences due to business terminal damage.

McKinsey's in-depth research, "Big data: The next new field of innovation, competition and productivity," points out: Big Data business value is huge. This year, the United Nations launched a "global pulsation" program designed to provide a more timely understanding of the difficulties and challenges facing people through an analysis of real-time data on the Internet, and to propose improved decision-making to support data and information for macroeconomic development decisions. In the domestic, banking, telecommunications and other fields are actively developing large data construction. Sadie's "Big Data industry and Evolution Trend Report" shows: China is in the rapid growth of large data industry, 2011 domestic market investment nearly 320 million, 2016 overall market will break through tens of billions of levels, in the future China will form the world's largest large data industry belt. Clearly, in the large data wave, the representative of the domestic virtualization manufacturers are seizing the opportunity, and other plate of domestic manufacturers together, rapid formation and expansion of domestic large data forces.