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Success mx for deploying Cloud Computing Gary Garrison, Sanghyun Kim, and Robin L. Wakefield Communications of the ACM | September 2012 | Vol. 55 | No. 9 Trust inclusive client from and ...

Towards Cloud deployments using Futuregrid Javier Diaz, Gregor von Laszewski, Fugang Wang, Geoffrey C. Fox in this document we Briefly outline some differences inclusive IaaS frameworks Eucalyptus, O ...

Virtual Machine migration:a Resource intensive outsourcing mechanism for Mobile Cloud Computing Muhammad, Shiraz Abolfazli, Zohreh Sanaei, Abdullah Gani in this pape ...

Design and construction of distributed JS Parsing system The tong of Beijing Jiaotong University mainly includes two research directions: firstly, it is effective to extract and parse JavaScript in Web page, and then combine with Hadoop distributed computing technology to analyze the existing task scheduling algorithm and Based on the actual situation of this system, the task scheduling algorithm in distributed computing environment is designed, and the JavaScript parsing task scheduling is reasonable, which realizes the efficient parsing of the JavaScript fragment contained in the page. Through the Javas ...

The algorithm of distribution estimation based on Kendall ' sτ to solve the SaaS deployment problem in cloud computing Gao; the performance of Yau Xiangwei distribution estimation algorithm is highly dependent on how to estimate and sample probability distribution, connection function (Huang) is a powerful tool to build a probabilistic distribution model. In this paper, we give a distribution estimation algorithm of normal connection function based on Kendall ' sτ, and the algorithm estimates the phase of normal join function by estimating the relationship between Kendall ' sτ and the use of Kendall ' sτ and correlation matrix.

Research on TFIDF algorithm based on MapReduce programming model Zhao Weiyan Wang Jingyu with the rapid development of technology such as Internet, information processing has become an indispensable tool for people to obtain useful information, so it is very important to obtain useful information efficiently in large amount of information, so automatic text categorization technology is especially significant. The existing text categorization algorithm meets the bottleneck in time complexity and space complexity, and can not meet the needs of people, so a TFIDF algorithm based on Hadoop distributed platform is proposed, and the algorithm is given ...

Cloud computing resource scheduling based on improved quantum genetic algorithm Liu Weining Hong Hongbing Liu for the efficient scheduling of resources under the cloud computing environment, the current research pays less attention to the service cost of cloud service providers, therefore, a cloud resource scheduling algorithm is proposed to improve the quantum genetic algorithm for the purpose of reducing the minimum service cost of cloud service providers. Because the chromosomes represented by binary quantum bits cannot describe the resource scheduling matrix, the algorithm converts the binary encoding of qubits into real coded and uses the rotation strategy and mutation operator to guarantee the convergence of the algorithm. Through the simulation experiment platform, this algorithm and genetic algorithm ...

Design and implementation of large scale call center platform based on cloud computing the main idea of cloud computing is to standardize access, use anytime, on-demand, easy management, load balance, infrastructure diversity, and from the system kernel layer to the application layer to build trust relationship, establish the corresponding trust chain, the use of trusted relations to achieve the system self-protection, Self-management and self-healing mechanisms. In this paper, a feasible system structure design and implementation method of call center cloud platform is proposed, and the methods of optimizing the resource scheduling of call center cloud platform by using virtualization technology are emphatically discussed. At present, the technology has been successfully applied in ...

Customer background CCTV (CCTV) is an important news and opinion organization in China and is one of the most competitive mainstream media in China today. With the rise of new technologies such as cloud computing, virtualization, Internet of Things and 3G communication, new technologies are moving towards reality. The new information work mode is gradually becoming the important support of enterprises ' competitiveness. "Twelve-Five" period, the new technology guidance of the information capacity to upgrade will become the central content of information construction enterprises. As the benchmark of the information construction of the media industry, CCTV, how to realize ...

Research on the architecture of data mining system for cloud computing He Jianjia, Ye Chunming, Wang Xiangbing, Huang, Liu Qiu 皊 Abstract: Combining the advantages of current data mining system and cloud computing, this paper constructs a cloud-oriented data mining system architecture, and describes the important components in detail. The framework is helpful to solve a series of problems existing in data mining system, such as poor data sharing, low scalability and high cost, and it will provide a reference for future data Mining system architecture for cloud computing platform. Keywords: cloud computing, data ...

Model-driven SaaS user interface approach the Huaqingyi, Hao, Ber Yansong address the diversity of user diversity, cloud terminal devices, and interactive channels that cloud computing faces, and the user interface is customized. Methods The perceptual Control task model was introduced into the model-driven development process. Results a model based SaaS user interface method is proposed, which can be used to analyze the perceptual control task, obtain the target of users and tasks, control variables of users, and then transform the model into a client user interface with high satisfaction. Knot ...

Dynamic service for large-scale data processing private cloud system Wang Zhu, Merlin, Lilei, Chang, Hu Guang Summary: In order to adapt to a private cloud environment with large amount of data, computationally intensive, complex process of computing task demand, for reference to the public cloud computing related theory and technology, combining the characteristics of private cloud environment, This paper presents an implementation scheme of a dynamic service private cloud system which adapts to large-scale data processing. This scheme uses the job file to describe the computing task, constructs the processing work flow dynamically with the job logic structure, and introduces the MapReduce parallel framework through the data stream driver service request.

Research on application of hybrid genetic algorithm in cloud computing load Balancing Cheng, Liu Lijing, Stone Cloud, Zhu Kai genetic Algorithm (GA) is widely used to solve complex problems in science and engineering, but traditional GA has many restrictive factors in solving high dimensional function optimization problem, so it can't be applied directly in cloud computing. A multi agent Genetic algorithm (maga) is proposed, which is a hybrid of multi-agent and genetic algorithms. First, it demonstrates the superiority of Maga compared with traditional GA, and then uses Maga to build a load balancing model based on virtual resource management to solve the load in cloud computing.

Research and design of cloud Key management architecture Shelijun, Zhu Zhiqiang, Nate, penning Key management system provides key generation, distribution, verification, and revocation services for each virtual machine in cloud computing, which is the basis of guaranteeing cloud provider and user information security. Aiming at the lack of a complete key management scheme in cloud computing environment, this paper analyzes the special security requirements of cloud computing environment Key Management, and establishes the cloud Key management framework based on XML (extensible Markup Language) Key Management specification. First of all, design the cloud computing Key management architecture and ...

Cloud Data Center Practice Zhong Shu Guang Tong Zhong yuan Cloud computing business model features: On-demand access to Low-cost Services cloud computing business model drivers: computer room facilities TCO significantly reduce equipment cost reduction: computer room equipment technology revolution operating cost reduction: Reduce PUE Value cloud computing Technology Innovation Drive: the virtual equipment Pool of room facilities: Break the physical boundary between the equipment individual, Consolidate resource pools and deploy resources uniformly. On-demand constant quality supply: according to the real-time needs of IT equipment, 0-100% between the arbitrary supply. Cloud Data Center Practice

Resource scheduling strategy for optimizing genetic algorithm in cloud computing environment Chongyang Resource scheduling is the core problem of cloud computing, although the traditional genetic algorithm can be used for resource scheduling in cloud computing environment, the traditional genetic algorithm is not suitable for intensive task scheduling under the clustering environment because of its slow convergence and easy precocity. Based on this, we propose a resource scheduling strategy for optimizing genetic algorithms in cloud computing environment to make up for the shortcomings of traditional genetic algorithms. This paper mainly discusses the concept of cloud computing and how to optimize the resource scheduling strategy of genetic algorithm. ...

10gen, which is both a cloud platform and a downloadable open source package, can be used to create your own private cloud. 10gen is a software stack similar to app Engine that provides functionality similar to the app Engine-but there are some differences. With 10gen, you can use Python and JavaScript. and the Ruby programming language to develop an application. The platform also uses sandbox concepts to isolate applications and use many of their own application server computers (...).

20.4 mapping-Merging algorithm and disk indexing program now we have to shift from theory to practice. First, we'll look at the High-order function MapReduce, and then we'll use this technique in a simple indexing engine. Here, our goal is not to be the fastest and best indexing engine in the world, but to solve the problem of real design under the relevant application scenario. The 20.4.1 mapping-merging algorithm shows us the basic idea of the mapping-merging (map-reduce) algorithm in Figure 20-2. Open a certain number of ...

Research and implementation of Hadoopunit Li Eifeng Hu Ying JUnit is a fact standard for a unit test framework. This paper introduces a distributed test framework hadoopunit. The framework migrates junit to the Hadoop platform, creating test case packages into many separate mapreduce jobs, and then assigning them to the various nodes on the Hadoop cluster for parallel execution. The experimental results show that compared with the traditional test case, the HADOOPUNIT framework accelerates the software testing speed, shortens the whole software project cycle and satisfies ...

The design and optimization of the network architecture in the Hadoop cluster environment Feng Liyanghe yangfan Large data era, it vendors studying large data focus on optimizing large data system software architecture, optimizing business logic, optimizing data analysis algorithms, optimizing node performance, etc. It ignores the evaluation and optimization of the network link in the basic setting of large data environment. This paper introduces the experience of Cisco Network Architecture design and optimization in Hadoop cluster environment. Large data Hadoop Environment network characteristics the nodes in the Hadoop cluster are connected through the network and mapred ...