Computing Model

Study on meteorological information Service system based on cloud computing model Wang Yu Zhang to efficiently integrate the calculation, storage and communication resources dispersed in meteorological stations and regional security centers, to solve the problem of the inconvenience of meteorological data, the timeliness of numerical prediction and the low resolution in the aviation meteorological guarantee work, The framework of meteorological information Service system based on cloud computing model is presented. This paper introduces the structure and function of the system, describes the detailed design of the system in 3 levels, gives the realization scheme of the core service components, and analyzes the system with the current situation of aviation meteorological guarantee. The results show that,...

Research on cloud computing model based on Hadoop and meteorological application Nanjing University of Information Engineering Zhangjian The main work of this paper is as follows: firstly, the characteristics of meteorological data are analyzed, and the problems of storing meteorological data directly in Hadoop are pointed out. According to the characteristics of meteorological data, a file merging algorithm based on Trie tree deformation is designed. On this basis, the experimental verification, data efficient processing, security and other aspects of effective promotion and protection. Secondly, the design and implementation of a large number of meteorological heterogeneous data storage and computing framework based on Hadoop, for meteorological data ...

Innovative Network information Security service based on cloud computing model Qihoo 360 Shi Xiaohong Security is the Internet's basic demand • Network security trends in the Internet age • The dilemma of traditional network security technology • Network Security protection system based on cloud computing model Innovative Network information security services based on cloud computing model

New computing model--cloud computing and its progress Wei Xianmin Wang Yu China introduces the definition of cloud computing, basic concepts and principles, the main features and key technologies are introduced in detail, the application of cloud computing fields, prospects and hot issues, and through the comparison with the traditional supercomputer, pointed out the advantages of cloud computing, At the same time, the development of cloud computing may cause problems and solutions are discussed, and finally the future development trend of cloud computing prospects. Through the study of cloud computing, let people better understand that cloud computing may give work and lifestyle ...

Research on the architecture of large data platform sharing and opening Hui Tang to Beijing the current telecom operators large data business model and application scene is becoming clearer, internal and external data application support requires the establishment of intensive and open sharing of large data platform. The update and extension of Hadoop ecosystem, the hybrid computing model and memory calculation provide new technical ideas for the construction of large data platform. By analyzing the new situation of business and technology faced by operators ' large data construction, this paper puts forward the evolution direction and core requirements of the construction of large data platform for operators to share and open capability platform, and ...

The data processing technology of the image under the cloud platform Liu Tangzheng Yao Hu Chengyu Keng for the low efficiency of the MapReduce computing model in the process of graph data in the Hadoop cloud platform, this paper presents a data processing framework Pregel similar to that of Google--mybsp. First of all, The operation mechanism and deficiencies of MapReduce are analyzed, secondly, the structure, workflow and main interface of mybsp frame are expounded, and finally, based on the analysis of the principle of PageRank graph processing algorithm, the MYBSP framework is designed and implemented.

Research on the technology of enterprise-level and cloud remote Sensing service platform Deng Tindeshan Chen Qiujin Remote Sensing image processing software has been based on desktop system, with the increase of data, a remote sensing image processing system based on parallel computing and GPU computing technology has emerged. Cloud computing provides the computing model of dynamically scalable virtualization resources in a service way, and parallel computing is one of the core technologies of cloud computing systems. The technology advantage of cloud computing provides a new application idea for remote sensing field, which can not only accomplish large data processing efficiently, but also share remote sensing information quickly in service mode. This paper discusses the background and key of cloud remote sensing.

Recently, many big companies such as MS, Google, IBM, etc. are hype a concept is cloud computing, such as IBM and the European Union to carry out cloud computing, the European Union grants 170 million euros; Google and IBM joined forces to push the cloud-computing model; Yahoo! also put it on cloud computing; China has also built a cloud computing hub in Wuxi with IBM; some say that a big consideration for Microsoft's acquisition of Yahoo! is that it's a bit of a point in Yahoo's leadership in cloud computing. So, what is cloud computing?

People have not completely figure out exactly what is the cloud computing time, the tide of the Internet of things has been followed closely, the major cloud computing companies are gearing up, ready to take a share in this wave of revolution, the Internet of Things Although the prospects Wonderful, but in the final analysis cloud computing is the cornerstone of the development of the Internet of things, first of all, the use of cloud computing model to make all kinds of things in the Internet of Things computing real-time dynamic management and intelligent analysis possible; Second, cloud computing to promote the Internet of things and The intelligent integration of the Internet to build a smarter planet. In short, I believe that the relationship between things and cloud computing really ...

Implementation of parallel image processing under Hadoop Cloud platform Zhang Liang will, Huan Fly, Wang Yangde in recent years, cloud computing in the IT industry has set off a new wave of technological innovation. Cloud computing is a new computing model, which is a comprehensive development of parallel computing, distributed computing and Grid computing, providing unlimited computing resources in the form of simple and transparent services. The open source cloud platform implemented by Hadoop provides parallel computing model MapReduce, Distributed File System HDFs and distributed database HBase. With the increasing number of digital image data, stand-alone mode ...

Not long ago, IBM announced the launch of the "Blue Cloud" program, this is a software and hardware combination product that allows enterprise users to experiment with the "cloud" computing model, and the "cloud" computing model makes computing not limited to local machines or remote server Farms, by architecting a distributed, globally accessible resource structure, 　　Enable the data center to run calculations in a similar internet environment. 　　What can you bring to the enterprise? According to IBM, the "Blue Cloud" program is an important recent IBM project, comparable to the 2000 Linux support. Cloud computing to ...

Research on random forest algorithm based on Hadoop platform and realization of image classification System Xiamen University Liang This paper combines Hadoop open source distributed computing platform, This paper studies the parallelization of image processing and the distributed parallel design of stochastic forest algorithm using MapReduce parallel computing model to improve the efficiency of large-scale image classification. First of all, this paper introduces the Hadoop platform, including HDFs file system and MapReduce framework, then analyzes the key techniques of image classification, and summarizes some features commonly used in image classification,...

Measurement of Urban road travel time based on MapReduce Shuai Zhaozhou Dinwilong Wang Xiaohui Urban Road travel time calculation has been one of the core problems in intelligent transportation system, and accurate and efficient travel time calculation can effectively help road control and reduce traffic congestion. However, in the face of huge and fast-growing urban road traffic detection data, how to integrate the distributed computing model into the traditional travel time calculation problem has become an urgent problem to be solved. Based on the massive road license plate recognition data, the paper designs a city based on MapReduce programming model.

Public cloud for the public network, is for the public to provide services to rent, Amazon's elastic cloud is a public cloud, as the name suggests, private cloud of course is some large enterprises, or some security requirements are very high enterprise, internal to their IT resources to integrate, the establishment of cloud computing. With the continued development of the cloud computing market, IaaS vendors are competing to provide services to the business. Over the past 15 months, IBM has taken a number of column steps and has developed a robust cloud computing strategy that includes a portfolio of products, technologies, and services. Cloud ...

The research of sorting algorithm optimization based on mapreduce model Jin Yu MapReduce has developed into a parallel computing model of large data domain standard. Ideally, a mapreduce system should allow all nodes involved in the calculation to be highly balanced and minimize space usage, CPU and I/O usage, and network transport overhead. Traditional algorithms are usually only optimized for one of the above metrics. Based on the good parallelism of the algorithm, the design criterion of mapreduce optimization algorithm is put forward. ...

Cable-Bell filter technology based on parallel programming computation Xu Changlong Wang Smart Shuo Hua with the increase of the data volume of remote sensing image, the computation time of the edge filtering operation in a single environment is also greatly increased. According to the characteristics of remote sensing data, combined with MapReduce parallel distributed computing model, this paper proposes a method of migrating this operation into Hadoop cluster environment to complete the Bayes filtering operation of massive image data. The experimental results show that the cluster operation can shorten the computation time, and the calculation time will decrease with the increase of cluster node number. ...

Research of cloud resource scheduling based on Pareto optimal Bengenqing Zhang Wenjing Shao Bilin Liang for cloud environments, in this paper, the Pareto optimal theory and particle swarm optimization algorithm are applied to the cloud computing model, and the utility of service resources is optimally configured, Finally, the resource utilization is reached an optimal state, and the cloud service resource scheduling is simulated by Cloudsim. The results show that the optimized cloud computing model with Pareto optimal algorithm has better system performance, which makes the resources ...

Cloud computing is a new computing model, whose main feature is to compute the dynamic and scalable virtualization resources on the basis of the existence of Internet. With the rise of cloud computing, the world's famous IT companies such as Microsoft (Microsoft), Google (Google) and other companies have joined the development of cloud computing, which has brought about a significant contribution to the development of cloud computing. In recent years, China has also paid more and more attention to the development of cloud computing technology, such as Tsinghua University and Google cooperation to propose a cloud computing academic cooperation program, this program will be able to bring greater ...

With the advent of the cloud computing model, SaaS applications will grow rapidly over the next few years, according to IDC, a market research firm. By 2012, 85% of new IT service providers will focus on SaaS services. IDC says revenue from the SaaS services market will grow in leaps and bounds over the next few years. Services such as application software, application development, and infrastructure software will increasingly be presented as SaaS. By 2014, the total revenue from the SaaS market in the United States will increase from $13.1 billion trillion in 2009 to $40.5 billion. According to incomplete statistics, 2010 ...

Under the impact of cloud computing model, the server market presents new features. One of the notable changes is the rise of micro-servers. What is micro-server? Micro server is different from the common feature of the most common server is low power consumption, usually microserver will use the ARM architecture processor chip or Intel's ATOM processor. Massive popularity of cloud computing to http://www.aliyun.com/zixun/aggregation/13999.html "> Workload showing the characteristics of lightweight and parallel ...