Cloud computing large data virtualization and data center romance

Low carbon, energy-saving and emission reduction of social development trends, for the IDC industry changes brought the experience of challenges and market opportunities. Cloud computing data centers will be more large-scale, professional, centralized, which will change the original data center is considered to be the center of energy consumption, which is conducive to the promotion of social energy conservation and emission reduction. To some extent, cloud computing technology and the IaaS service model of cloud computing can bring changes to traditional data center construction and make traditional data center a new generation of green data center.

But the data center will be busier than ever with cloud computing and virtualization. Due to the continuous flow of information and data transfer across applications, databases, backup sites, and processors, 76% of IP traffic is expected to continue to run within the data center within three years, as compared to the current level of 77%. Traditionally, a single server runs a workload. However, as its computing power and virtualization continue to improve, the amount of work on each server is the same in the cloud architecture. The cloud economy, which includes server costs, flexibility, scalability, and product life expectancy, facilitates the transfer of work between servers, both in the data centers of different geographies and within them. Several workloads distributed between servers typically support an end-user application, which can generate multiple streams of data in and out of the data, in addition to the end user.

In some ways, the backlash against this year's popular term "big data" has begun. Some industry experts point out that "those shiny terms are touted too high to be sustained in the long run, and it's time for us to uncover the truth." "At present, discussions on large data patterns and related technologies have become increasingly hot topics in the IT industry," he said. What does big data bring to data center construction?

In the face of the growth of data volume, although the traditional architecture can be expanded, the limitation is that there is no way to achieve horizontal scaling. Traditional IT architecture and data processing methods can not effectively deal with large data environment, data storage, calculation, management, analysis and other nodes need to adapt to the large data solutions. How should the data center be designed? From the infrastructure level, a balanced architecture is needed, both high capacity and performance expansion. The infrastructure must be capable of coping with a variety of data volumes. Future storage will be a scale-out architecture, and the overall idea is to adopt a linear growth approach to achieve balanced storage and computing capabilities.

The role of data centers is increasingly evident today as it technology continues to spread. How to build a green energy-saving, stable and reliable, to meet the changing it needs of the data center, but also become the data center managers and builders a very concerned about the problem. The application of cloud computing, virtualization, and large data in data centers makes the future data centers vibrant and variable, but we can believe that more energy-efficient data centers are not far away from us.