Analysis

Research on a new DCCEM dynamic Cloud task assignment algorithm Liu Junhua Cai Weihong Reyshuyang proposed a dynamic cloud task assignment algorithm architecture model, its algorithm can distribute cloud task evenly to cloud group server, taking into account the different cloud server for different business capabilities, to solve the cloud server load balance, And the efficient use of CPU resources, so that users get higher service efficiency, and the cloud group environment of computing and storage resources are effectively managed. Through simulation comparison and analysis, the technology is effective, can fully benefit ...

Since 2011 Apple released "ICloud", "cloud technology" has become a popular vocabulary, the brand words will be called "cloud", it seems as long as the "cloud" with the relationship, you can keep up with the popular trend, in the user to establish a good image. However, just as each technology's emergence and development is intended to improve and enhance the user experience, the same goes for cloud technology as mobile internet trends do. Whether the previous and cloud related to the various manufacturers behavior and policy trends, or to Apple at last year's WWDC conference icloud, the concept of cloud technology to further popularize ...

Research on distributed polar Graph construction algorithm based on MapReduce Beijing Jiaotong University Nannan with the rapid development of cloud computing technology, many research and applications related to large-scale data processing have been migrated to cloud computing environment, such as data mining, network search, image processing and bioinformatics analysis. The large scale data processing technology is also the research hotspot in the field of high performance computing. In the graph theory research, the polar graph constructs the algorithm as the Polar graph theory important research content, receives the people's attention more and more. The polar graph is the graph which satisfies certain stipulation condition and the number of edges, its construction ...

IBM Infrastructure Cloud (IaaS) solution, can integrate service management platform to build public cloud/private cloud/mixed cloud, not only support web2.0 (work together, community), but also support including line trading (Bank, securities), Business processing (ERP, CRM), online analysis (risk assessment, strategy), 　　Other key business workload requirements such as high performance operations (weather forecasts, genetic research). IBM Blue Cloud architecture, IBM's cloud computing architecture, comes from the blue cloud solution. It is an enterprise-level cloud developed by IBM Cloud Computing Center ...

With the rapid development of Internet, cloud computing, mobile terminals and IoT in recent years, the world officially entered the ZB ERA in 2010. With the advent of large data age, the storage, analysis, disaster tolerance, backup and unified management of massive and multiple types of data have a great impact on traditional architectures. In the big Data age, Huawei launched a big data solution: Huawei Oceanstor MVX Storage System (hereinafter referred to as MVX). MVX systems are fused Scale-out NAS, Scale-out database and Scale-out ...

The domestic cloud storage market has developed rapidly in recent years, according to a study from Springboardresearch. 　　The domestic market for cloud storage services will grow rapidly from $6.05 million trillion in 2009 to $208.54 million in 2014. Cloud storage is a concept that arises at the same time as cloud computing. Cloud storage typically contains two meanings: one: cloud storage is the storage part of cloud computing, a virtualized, easily extensible pool of storage resources. Users use a pool of storage resources through cloud computing, but not all the storage parts of cloud computing are ...

According to foreign media reports, Infonetics Research, a market researcher, noted in its report that in 2013 the global security management services market amounted to $14.3 billion trillion, up 11% from 2012 (11% per cent in 2012). 　　About 56% of global security services revenue in 2013 came from client-side equipment (CPE), compared with 44% based on cloud computing. The report also shows that Content security services account for approximately half of all cloud-based security services sales. to 20.

Network security threats based on cloud computing and its prevention Huang Zhihong, Hullie, Zhang introduces the concept and architecture of cloud computing and discusses the security issues facing cloud computing.   Based on the research and analysis of cloud Security Strategy and network security strategy, this paper designs a secure cloud computing framework from cloud, client and cloud and client interaction 3, and expects to provide some reference for cloud computing security prevention. Key words: cloud computing; Security policy; Security Framework Temp_12 ...

Since the 1988 Morris Worm virus appeared until 2004, the global total number of computer viruses intercepted 100,000, and the current number of new viruses intercepted as many as 8.1 million, only the first half of 2008, rising global Anti-Virus monitoring network found nearly 1.56 million viruses, most of them Trojan virus. An ordinary virus analysis engineer can analyze up to 20 new viruses a day, and face the new Trojan virus that increases exponentially, why does the antivirus company take such a severe task? If still follow ...

The development of lightweight cloud Platform Workflow system and BI application Houqing based on the coloring Petri nets principle, this paper proposes a lightweight cloud platform Workflow system to implement BI services in Hadoop. Through the workflow engine, realize the rapid development of business process deployment, through processing unit allocation to achieve process distributed processing and mass data analysis, through leasing, providing business intelligence personalized application building and services. This paper discusses the construction principle, the work activity analysis, the scheduling algorithm and the concrete implementation of the workflow engine, and expounds the Cloud Platform deployment and system implementation of the parallel BI service. The platform ...

This trend is also developing in China's manufacturing sector. 　　Wind turbine manufacturers, for example, have upgraded themselves from traditional fan manufacturers to "intelligent blower manufacturers" a few years ago to enable intelligent control and operation by adding sensors to the fans and writing software code. 　　1 The development of the chip-Moore's law makes the calculation speed of the chip in the past few decades the rapid development; 　　2 The development of communication-all kinds of communication technology makes the connection become an indispensable part of people's life; 3 The development of intelligent products (that is, "things" in the "Internet of Things"). ...

A survey of data representation and compression in graphs Tommy Yan bear Jia Liu Guo Li the efficient, compact representation and compression of graph data containing billions of nodes and edges is the basis of large-scale graph data analysis and processing. Graph data compression technology can effectively reduce the storage space of graph data, Fast access is also supported on graph data in the form of compression. By analyzing the present situation of the technology, this paper divides the technology into two kinds: compression technology based on traditional storage structure, compression technology of Web page image, compression technology of social Network Diagram, compression technology for specific query, 4 categories. Detailed classification of each type of technology ...

A distributed weakly connected component solving algorithm based on dyeing Tan Juxian Li Pu social networking, the data of link relation such as bio-Information network is exploding, the demand of large graph processing is more and more urgent, the traditional graph algorithm dependence on single point of memory can't meet the demand of rapid growth of data scale. In this paper, a fast and extensible iterative dyeing algorithm CR is proposed for solving the problem of weak connected components of graphs, and the MapReduce model of the algorithm is established. Finally, on the Hadoop platform, the Stanford University Social Network Analysis Laboratory provides ...

4G ERA, mobile phone shopping, video calls, mobile music downloads, mobile games, mobile phone IM, mobile search, mobile payment and other mobile data services in endlessly. They are creating unprecedented new experiences for users, while also providing a large data perspective for telecom operators to tap the value of user data. 　　Data mining, data sharing, data analysis has become the global telecommunications operators to change the business model to win in-depth business insights of the basic consensus. Currently, 48% of the world's 120 operators are implementing big data strategies. By improving the ability of data analysis, they are ...

When people have not yet figured out what is cloud computing, the wave of Internet of things comes along, and all the big cloud companies are gearing up to get ready to take a slice of the wave of revolution, and while the future of the Internet of Things is wonderful, the bottom line is that cloud computing is the cornerstone of Internet development, Using the cloud computing model makes it possible for real-time dynamic management and intelligent analysis of all kinds of items in the Internet of things, and secondly, cloud computing facilitates the intelligent integration of things and the internet to build a smarter planet. In a word, I think that the relationship between the internet of things and cloud is really very close, so who control the cloud ...

Large Data Practitioner Market status: A huge gap in pay growth in the big data age, businesses are fighting to attract and retain professionals in business intelligence and information management. Large data workers face a huge gap in the payroll survey of IT employees published every year in InformationWeek. Today's large data presents a "4V + 1C" feature. Produced: generally includes the structure, the semi-structured and the unstructured and so on many kinds of data, and they processing and the analysis way has the difference; Volume: through various ...

Youtao, graduated from Shandong University Physics Department, Bachelor of Science, North American visiting scholar. Incumbent Beijing US pioneering Technology Co., Ltd. CEO, China Open Source Software Promotion Alliance executive Director, China Electronic Society cloud computing Experts Committee members. Mr. Youtao is the chief architect of China's first large enterprise management software, "Enching ERP" based on Java Cloud Computing architecture, and the founder of China's first cloud computing ERP. Q: What is the difference between a public cloud and a private cloud in addition to how it is stored? A: Whether the public cloud or private cloud, should be through the Internet to use the browser ...

The preface industry refers to all walks of the national economy. From production to circulation, services so that culture, education, large to the department, small to the industry can be called industry. We can define an industry as a collection or system of economic activity with some kind of attribute. In a complete industrial ecology, it will involve some product (service) design, production, circulation, consumption and other links. In the planned economy era, it is through the means of planning to coordinate the operation of each link. For example, in the early 80, television is a scarce commodity, production is far from meeting the needs of people's lives, as ...

As for big data, everyone talks about it and wants to try it, but few people know what big data is like. The advent of the great data age, which has been the result of decades of technology accumulation in the world, has rapidly penetrated all industries in the last two or three years. Compared with the internet bubble more than 10 years ago, the development trend of large data is more practical, closely related to business, and the profit model is clearer. The industry has almost unanimously agreed that changes in the industry, driven by big data, will have a destabilizing effect on the competitive model of enterprises. But on the other hand, companies really use large data analysis and get the price ...

The analysis and excavation of massive data can create great material wealth and social value. However, the large number of data aggregation leads to the ubiquity of privacy, personal and corporate information security is facing serious threat, it is urgent to improve laws and regulations and other ways to solve. "Big Data" industry contains huge potential for large data value immeasurable, known as the future of the world's "oil." Enterprises through the massive data analysis and mining, can find business opportunities, clear grasp of customer demand, accurate targeting of target customers. 2013, the success of the American play "Solitaire House", let the whole world realize the power of big data ...