High performance computing IT services: let the new technology to the ground

From : IT168    Release time : 2015-04-16    Reading times : 3761

[IT168 information] Maybe gene detection, Chang 3 and no and our life is closely related to; may face recognition, oil exploration sounds or tall not grounded, but alpha dog, haze forecasting, is the real. The high performance computing is an effective way to solve the important problems such as cloud computing, big data, in-depth study and other important issues, based on the high performance computing IT services, gave birth to a more broad application prospects.

Large data applications

Gartner emerging technology cycle is divided into five stages, the birth of innovation, expansion, low, the first two or three generations of product iteration and stable productivity period. The application of large data, from the so-called big data first year in 2013, has gradually come to the fifth stage - that is, a wide range of applications.

Big data applications, widely exist in IT services, especially for the high field of IT services. It service diagnosis problems such as traditional, collected information is very one-sided, resulting in problem solving requires a long process of repeated speculation, try, and some fault will become incurable diseases due to errors, delays.

However, based on the application of large data, the failure occurred at the same time all the data associated with it can be immediately obtained, and through the analysis of the association between the data becomes clear, the problem is very smooth. May be the traditional way to use a week now a few hours can be resolved, the efficiency is significantly improved, to the benefits of IT technology development can be seen.

Gartnet corporate data centers, research department chief analyst Zhang Jinceng said: "with the growth of data quantity, the traditional IT architecture gradually unable to meet the demand, so that large data half business, half is to solve the problem of the cost of traditional business performance problems and management data." Incumbent TEEC Tsinghua Entrepreneur Association member, CCF Association for Chinese computer, CCF YOCSEF academic committee, now as Beijing parallel Dr. Chen Jian Technology Co., Ltd., general manager of data also has a unique point of view, if using the traditional model will continue to be subject to resource constraints, using optimization method, with the help of a data collection, transmission and analysis platform, via the Internet gathering information to the remote operation and maintenance center, can ensure that the fault occurs, and all relevant information are available, you can achieve exponentially the IT service.

Deep learning

In the annual conference of Gartner Symposium/ITxpo. We see machine learning and deep learning awarded Gartner ten strategic technology trend prediction, and is expected before 2020, these techniques will bring profound influence to the enterprises and institutions.

Depth study of the application of a wide range of applications, one of the forms is the IT operation and maintenance. Traditional data acquisition, transmission, analysis platform, can only improve the efficiency and accuracy of the problem diagnosis, but for the IT operation and maintenance of automation services, it is far from enough.

IT operation and maintenance services automation, rely on a certain degree of depth learning. Each service case provides data, diagnostic methods, the results of the problem and the results, and can be integrated into a new "big data". Only through the continuous accumulation of cases, we can make the depth of learning methods into the future of automated operation and maintenance system. Perhaps in the future to solve the IT problem has not need artificial, but the machine.

Internet based

From the perspective of the international trend of IT technology, more and more services through the cloud computing and Internet based way to achieve. 2014, 2015, the most obvious IT trend in Europe and the United States is the general acceptance of cloud computing. Although the acceptance of cloud computing has not yet to the extent of the popularity, but this trend has been very clear. A significant number is "AWS for two consecutive quarter compared with the same period last year, reaching 78% and 69% of the growth, but also in the Amazon has been done in the billions of dollars, long time no in a field of IT industry market appear such a large increment.

Internet based, is one of the way to achieve cloud based IT service.

It services of the Internet only relying on the precise understanding of computer models, business users, different systems; relying on service platform together top experts in the wisdom, experience, enterprises will be able to demand for it services of the Internet and pay. Accenture report has pointed out that successful Internet businesses, said to be for business intelligence, optimistic data display to 2030, global GDP as high as $15 trillion in value are future source in the networking industry category. This is the so-called industrial 4.0 times.

Baidu's chief scientist Wu Enda that "data is artificial intelligence" fuel, it service model of the Internet to improve the data efficiency of IT service based on; depth of learning, or many years ago the so-called expert system, expert problem solving experience standardization; "after long time grid computing the baptism of the technological innovation, high performance computing to embrace the new technology is more and more positive", Chen Jian think, "this self service system, is another form of artificial intelligence and looks very beautiful." High performance computing based IT service, to build the new catwalk technology.