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The impact and transformation of large data on social governance Baozonghao Song Guilen is today, large data with the development of cloud computing, Internet of Things, and mobile web are having a huge impact on the global economy and society.   The large data age has put forward new challenges to social governance, which requires us to grasp the characteristics of social governance in large data times, to change the research methods of social governance, and to meet the needs of social governance in large data times. Impact and change of large data on social governance

When we talk about hphelion, we always like to talk about OpenStack this open source project. 　　Some users wonder why, as one of the world's most successful business companies, HP's cloud computing has been linked to open source. A few days ago, China's HP cloud computing chief architect Mr. Wu Mingju during a visit to the Sadie Webcast, detailed and we analyzed the similarities and differences between Hphelion and OpenStack. In terms of HP's Helion brand, he says, it combines HP's software, hardware and services accordingly. From the product stack ...

The 2014 IT industry with the Internet in the era of changes and rapid changes, looking back this year, cloud computing in various industries, the application is increasingly in-depth. At the same time, from the rapid growth of entrepreneurial enterprises to the cloud computing market investment and financing boom, and then to security and credibility, the cloud computing market is also showing a blossoming situation. 　　Therefore, the market also shouted the cloud computing market bath The slogan, and this slogan also implied the local cloud computing four representative enterprises-Baidu, Alibaba, Tencent, Huayun data. Inventory 2014 years of cloud computing market, BATH ...

Research on the transformation of graphic processing technology based on large data background Zhao Rui with the development of information technology, cloud computing and the advent of Internet of things, there is a new technological change, that is, large data. Large data in many fields related to computer network bring different levels of influence, graphics processing technology is one of the first, this paper based on large data background, the background of the graphic processing technology changes in the in-depth exploration. Research on the transformation of graphic processing technology based on large data background

WHD (Worldhostingdays, World Host day), also known as the "Global IDC Industry Conference", 2013 China's first unofficial host industry conference-whd.china in Shanghai for the first time. November 21, 2014, WHD again with the host review network in Beijing China International Trade Hotel held China's second Whd.china World host conference. This Whd.china meeting is closely around the host, data center, cloud computing hot technology and the latest development trend of the exchange of discussions, through keynote speeches and group discussions ...

1, Cloud computing data Center Composition cloud Computing Data center is essentially composed of cloud computing platform and cloud computing services. Cloud computing services include applications, software, tools, and computing resource services that are provided to users through various means of communication, and the cloud computing platform includes a secure, reliable and efficient operating hardware and software platform to support these services. 　　The cloud computing platform integrates the hardware and software of one or more data centers, forms a layered virtual computing resource pool, and provides computing, storage, and network communication capabilities that can be dynamically provisioned and smoothed to support the implementation of cloud computing services. ...

The cloud computing model of power station data center based on Hadoop Yian Jianfan Yu Yu Masson Wang Yinan aiming at the problems of virtualization, distributed storage and parallel programming model in cloud computing, this paper proposes the architecture of multi-power station computing platform based on cloud computing, and realizes the reliable storage and fast parallel processing of power station data center. This paper discusses in detail the shortcomings of the traditional power station computing platform in data storage and processing, designs the cloud computing platform of Power station data center based on Hadoop, and uses the Hadoop cloud computing platform to compare and analyze the efficiency of data retrieval. ...

Smart family is the hottest area this year, waves's hardware is endless, from intelligent routing, smart cameras, smart sockets, smart air conditioners to the recent rise of intelligent air purifiers, but most of the "smart" hardware, just stay in the phone can be remotely controlled by the pseudo intelligence, so the anti-human experience , has become the industry's war. 　　How can this problem be broken for many anxious intelligent hardware entrepreneurs? The problem of pseudo intelligence is the lack of the application of ecological so-called intelligence, the so-called anti-human nature, the core lies in the need to apply, one can be linked ...

A video-on-demand video streaming task scheduling strategy of Ant colony optimization algorithm in cloud environment Wang Qingfeng Liu Zhiqin Huang Wang Yaobin aiming at the problem of low resource utilization and load inequality in large-scale concurrent video stream scheduling in cloud environment, this paper presents an ant colony optimization (ACO) algorithm based VOD (video-on-demand). Cluster video streaming task scheduling strategy Vodaco. Based on the analysis of the correlation between the expected performance of the video stream and the idle performance of the server, and the definition of the comprehensive capability matching, the mathematic model is established, and the optimal scheduling scheme is searched by Ant Colony optimization method. Through cloud simulation software Cloudsi ...

Since positioning in the "Technology and application", it is inevitable to talk about the industry trends, release strategies and new products, to show users their own strength, by the way to engage in customer relations, retreat to the future judgment, almost all it vendors technical summits. 　　So what will the tide say and how? 　　A day and a half of the assembly, listening to the general feeling that the tide wants to do is three things: continue to seize the opportunities created by new technologies (mainly cloud computing and large data), build systems of integration, develop ecosystems, and penetrate industries to make solutions. These two years of external environment conducive to the wave, such as stocks ...

After 2013 years of hot time, the car network in 2014 more heat. Vehicle and parts enterprises, the Internet, communications, science and technology enterprises, have speeded up in the car networking business to expand the pace of the territory, the intention to establish their own in the field of vehicle networking areas of influence. 　　At the same time, the car consumer's knowledge of the car network will be rapidly deepening and upgrading, the user scale will get an explosion of growth, not less, time has not arrived. As for the application of vehicle networking, Liu Rui, a professor at Jilin Jiaotong Vocational and Technical College, believes that networking can not only alleviate urban traffic congestion and reduce vehicle safety.

PPT Overview: Large data value: not only as a core asset, but also as a business sector data driven decision past: Simple summary results data, second-hand information, high-level management decisions, and only subjective and experience of the market evaluation and formulation strategy. 　　Large data Age: through the collection, analysis of a large number of internal and external data, intelligent decision-making, to develop more effective strategy. 　　Data driven process past: Passive thinking Mode: Problems, logical analysis, finding causal relationships, proposing solutions. Big Data Age: Active thinking mode ...

A method of motion recognition of sparse self-assembled spatio-temporal convolution neural networks and its parallelization in Xiamen University Sanding in order to improve the performance of spatiotemporal convolution neural networks, a sparse self combination strategy is proposed for the combination of the input feature map of the convolution layer. By adding sparsity restrictions to the input feature graph, the convolution layer can automatically learn the best feature graph combination as input, compared with the traditional manual setting method, the complicated steps of manual setting are omitted, the experiment shows that the spatiotemporal convolution neural network with sparse self combination strategy has better characteristic learning ability and classification ability. Put forward a ...

Intelligent City is a new idea and model to promote the wisdom of urban planning, construction, management and service by using the information technology of IoT, cloud computing, large data and spatial geographic information integration. Since 2012, the Ministry of Housing and Urban and rural Development has published a total of 193 pilot cities, the Ministry of Industry and Information Technology announced more than 140 pilot lists, 41 cities in the "Twelve-Five" planning or Government work report formally proposed the construction of Intelligent city, 80% The above level two cities have clearly put forward the development goal of building intelligent city. Building intelligent city, accelerating industrialization 、...

The current global ICT industry's innovation focus is moving from consumer internet to industrial Internet, transforming enterprise-level ICT, is the "tuyere" of it enterprises. "Large data drives the upgrading of traditional industries and reconstructs new business models, and each enterprise is at a new starting point." The enterprise's IT system transforms from the support system to it production system, each enterprise needs to make full use of IT system to enhance the competition ability, shortens the product time to market, simultaneously enhances the operation efficiency, reduces the cost. "Huawei Technology Co., Ltd. was rotated at the 2014 Huawei Cloud Computing Conference (HCC) held on September 18.

Big Data with Cloud Computing:an Insight on the Computing environnement, Mapreduce,and programming frameworks Fernández Sara del Río Victoria López Abdullah bawakid mar&i ...

Disk energy-saving strategy for Memory Cloud architecture The advent of the Lu Liang Yu Yu Yingchang Sweet Wang Jinying Liu Mine Memory Cloud (Ramcloud) improves the user experience of online data-intensive (Oldi) applications, but consumes more energy than traditional cloud data centers. To solve this problem, a disk energy-saving strategy for this architecture is proposed. Firstly, we introduce the fitness function and roulette method in genetic algorithm to choose more energy-saving disk for data persistent backup. Secondly, set a reasonable server memory buffer to extend the average continuous idle time of the disk, make some server disk in idle time into ...

It is of great practical significance to strengthen the research on the key points and improving ways of cloud computing operations, so that cloud computing can play a more effective role in enterprise operation. The concept and characteristics of cloud computing 1, cloud computing Concept cloud Computing (cloudcomputing) is a computing model that delivers dynamically scalable virtualized resources through the Internet in a service way that provides available, convenient, on-demand network access, into configurable computing resources ( Resources mainly include network, server, application software, storage ...

Large data and intelligent city construction--concept, case and thinking Guangzhou University Wu Zhifeng 1, Big Data age coming 2, urbanization and urban management Complexity 3, from Digital city to Intelligent City 4, revelation and thinking big data and intelligent city construction

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more classes ...