The two words "cloud computing" and "big data" are undoubtedly the hottest technical topics in the 2013 for enterprise computing, on the one hand, because they are in the ascendant, and on the other hand, the real challenges faced by many enterprise users this year have created a strong driving force for their deployments and applications.
Specifically, the challenges of a sustained global economic downturn the application value of cloud computing is to allow industry enterprises to respond to the variables in the future business development in a resource pool-style, flexible and easily automated, fine-grained management of IT systems, and the challenge of the passing of China's demographic dividend makes Medical and other industries with a large number of users have to farewell to the past by rapid expansion of user numbers to achieve high-speed growth model, to dig deep user needs, innovative services to explore the path of sustainable development, this is the big data.
Two other big business computing technologies, alongside cloud computing and big data--high performance computing and critical business computing are not new, but they are also being paid attention to by two other challenges faced by enterprise users: the manufacturing industry is facing a challenge from manufacturing to "intellectual" because of its sluggish export, is promoting more enterprises in product development to introduce high-performance computing means of support; and some of the growing, and still rapid growth of enterprises, because business development is limited by business independence and operational inefficiencies of the challenge, need to deploy their own key business platform as soon as possible to ensure more complete and uninterrupted support for the business.
Based on the insights of these four realistic challenges, Intel has developed the 2013 "Raiders" in the Chinese enterprise computing market, which is to fully leverage the innovation of key products and technologies in all open architecture data centers, while attacking cloud computing, large data, high-performance computing and critical business computing. Help users innovate in these areas of application and practice, thus helping them to face and conquer the relevant challenges. The specific implementation steps of this strategy include:
Strengthening balance calculation and optimizing cloud Cornerstone
In the area of cloud computing, almost all corporate users agree that an open architecture platform should be chosen to build the ideal cloud infrastructure. This is inseparable from the Intel 2015 Cloud Vision three elements of the in-depth impact on users, but also with the Xeon, especially the dual-strong processor platform in performance, energy efficiency, virtualization and cost-effective, and other outstanding performance support.
On this basis, Intel also released the Xeon processor E5 product family in 2012. Its biggest bright spot is to provide a more balanced computing platform, taking into account the cornerstone of cloud computing, computing, network and storage devices in the cloud data center of the all-round performance improvement. Intel's main direction in cloud computing technology innovation in 2013 is to strengthen the dual-path Xeon platform balance computing characteristics, so that it becomes a new generation of servers, storage and network equipment, the core engine, so that users can more flexibly manage and configure the data center supported by them, more efficient operation including computational-intensive, A variety of application workloads, I/o-intensive and storage-intensive.
Soft and hard force pull low large data application threshold
Whether it was implemented last year, or the two-way Xeon processor platform that is coming this year, innovation will undoubtedly help big data applications. This is because the future is likely to be more deployed in an open architecture cloud computing environment, and the current industry recognized, used to achieve large data set storage and initial processing functions of the ideal carrier, is the open architecture of the horizontal Extensible Storage server, based on the strong product line in this area has taken the initiative.
However, for large data applications, the hardware is ready only on the one hand, the key point of its landing or software platform support. Prior to its development, the biggest bottleneck lies in the traditional relational database can not afford to the large data storage, processing and query task, fortunately, Hadoop emerged. Intel, which looks at the potential of the Hadoop application, has developed the Intel Hadoop release software, which can fully inspire the performance potential of its hardware platform, which, in combination with the Xeon server, is really pulling down the application threshold of large data, So that more users who have wandered in front of large data can be based on cost-effective and reliable open architecture large data platform to achieve large data set storage, real-time processing and query functions.
(Responsible editor: Fumingli)