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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3568 条记录，以下是1181-1190 订阅

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Application of distributed Storage Technology for Financial Management and Control System in Electric Power System

Application of Distributed Storage Technology for Financial ...

引用

2017 16th international symposium on distributed computing and applications to business,engineering and science（DCABES 2017）

作者： Yang Yang Yang XiaoPeng Gao Feng Li YeTian State Grid Henan Electric Power Information and Telecommunication Company

distributed storage technology adopts an extensible system structure,shares storage load by many storage servers,locates stored information through location *** with a previous framework that financial management and control system of electric power companies adopted centralized storage servers to store all the data,storage servers are no longer bottleneck of information system *** servers not only improve reliability,availability and access efficiency of system,but also are apt to extend.

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Data-Driven Influence Learning in Social Networks

Data-Driven Influence Learning in Social Networks

引用

IEEE international symposium on Parallel and distributed Processing with applications and IEEE international Conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Feng Wang Wenjun Jiang Guojun Wang Dongqing Xie School of Information Science and Engineering Central South University Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China School-o.f Computer Science and Educational Software Guangzhou University Guangzhou China

ISBN: (纸本)9781538637913

How to model the influence diffusion process accurately is an open issue that it has attracted a lot of researchers in the field of social network analysis. The existing researches assume they have already owned the social graphs with edges labeled with the influence probability. However, the question of how to obtain these probability from social networks has been largely ignored. Thus, it is interesting to address the problem of how to model the influence diffusion based on the data of social graphs and action logs. This is the main problem we addressed in this paper, and our purpose is to solve the problem of seeds detection via the data-driven influence probability calculation. We consider the influence probability can be viewed as two parts of the influence strength and the influence threshold. For learning the influence probability, we propose a novel Data-driven Influence Learning (DIL) algorithm including three stages. The experimental results illustrate our algorithm performs better than other baselines in various datasets. In addition, our algorithm enables us to detect the seed sets in large social networks.

关键词： Social network services Probability Integrated circuit modeling Diffusion processes Predictive models Data models TV

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Filtering the big data based on volume, variety and velocity by using Kalman filter recursive approach 3

Filtering the big data based on volume, variety and velocity...

引用

3rd IEEE international Conference on engineering Technologies and Social sciences, ICETSS 2017

作者： Riaz, Fatima Alam, Muhammad Ali, Attra Department of Mathematics and Statistics Computer Science Institute of Business and Management Korangi Creek Karachi75190 Pakistan Institute of Post Graduate Studies University of Kuala Lumpur Jalan-Sultan-Ismail50250 Malaysia

ISBN: (纸本)9781538616116

For the past seven decades the term Big Data is known, but due to the emerging technology shift of this era, it is captivating a lot of attention from the researchers of mathematics, computing, telecommunication, information technology, data warehousing, and mining. As this generation is living in the age of technology where data is playing a vital role and especially the Big Data has lots of success stories, but at the same time it is becoming the biggest threat to network service provider, telecom industry, and homeland security. Every device such as smart phones, laptop, desktop, etc. connected with the network is contributing to add data to a Big Data pool by using different applications. Social media such as Instagram, Facebook, WhatsApp, Apple, Google, Google+, Twitter, Flickr, etc. are few famous tools which are used to add redundant data. The question appears, is it mandatory to store and especially process all the data either useful or redundant? This research paper is focusing for filtering useful data from redundant data by using their parameters which are velocity, variety, and volume. In proposed architecture, Memcache DB (for velocity), Voldemort layers (for variety) and MapReduce (for volume) are linked with Hadoop to achieve filtered data. Kalman filter recursive approach is used to inject the data back into Hadoop distributed File System to reduce processing cost of next iterations. © 2017 IEEE.

关键词： Velocity

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Customer Loyalty Research Based on Survival Analysis

Customer Loyalty Research Based on Survival Analysis

引用

2017 16th international symposium on distributed computing and applications to business,engineering and science（DCABES 2017）

作者： Linghui Jin Lisha Guo City College Wuhan University of Science and Technology School of Math.and Statistics South-Central University for Nationalities

In this paper,we study the customer loyalty based on survival *** regard the time of using product as the survival time,and utilize the AFT model to analysis the influencing factors of the customer *** results of simulation show that our method is more effective than commonly regression method.A real example is also provided as an illustration.

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Achieving Flow-Oriented Reliable Services in Cloud computing

Achieving Flow-Oriented Reliable Services in Cloud Computing

引用

IEEE international symposium on Parallel and distributed Processing with applications and IEEE international Conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Yunhao Mu Qin Liu Junhai Zhou Kang Xie Guojun Wang College of Computer Science and Electronic Engineering Hunan University P.R. China Ministry of Public Security Key Lab of Information Network Security P.R. China School of Computer Science and Educational Software Guangzhou University P.R. China

ISBN: (纸本)9781538637913

In cloud computing, a data owner outsources a huge dataset to cloud servers, and authorizes many clients to retrieve data of interest anytime and anywhere. Data outsourcing is helpful to lessen the burden on local data storage and also to improve quality of services. However, the cloud service provider (CSP) outside the data owner's trusted domain may return wrong query results to the client deliberately or ***, query authentication and query correction are of crucial importance to achieve reliable cloud services. In this paper,we consider a flow-oriented cloud environment, where query results will be transmitted in the form of data flow to the clients via networks. Specifically, we propose a two-phase query (TPQ) protocol to support efficient authentication and correction of multi-dimensional range queries. By ingeniously integrating signature chain with Reed Solomon codes, our proposed protocol allows a client to efficiently verify the correctness of query results while performing error correction in an adaptive way. Extensive experiments on a real dataset demonstrate effectiveness of our proposed protocol.

关键词： Servers Cloud computing Protocols Authentication Reliability Outsourcing

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Flexible Light Curves Generation System for Astronomical Catalogs

Flexible Light Curves Generation System for Astronomical Cat...

引用

IEEE international symposium on Parallel and distributed Processing with applications and IEEE international Conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Kun Li Ce Yu Shanjiang Tang Chao Sun Qing Zhao Siyuan Huang Qinlong Kang School of Computer Science and Technology Tianjin University Tianjin China School of Computer Science and Information Engineering Tianjin University of Science & Technology Tianjin China

ISBN: (纸本)9781538637913

Light curves are fundamental tools for variable star astronomy. They describe the change of celestial object's light intensity as time goes on. Because of the sharp increase of data in astronomical researches, the general methods are now utilized cannot meet the requirement of time-domain astronomical observation. In this paper, FLCGS, a Flexible Light Curves Generation System is proposed to achieve scalability and parallelism for generating light curves from astronomical catalogs. We design metadata files for light curves generation based on sky partition. Moreover, a new partition strategy is defined to keep workload balance. The function works very well via dynamic programming when the distribution of Big Data is skewed. We focus on the cross-matching between celestial objects from different catalogs and introduce a new method to determine whether they are the same celestial objects for light curves generation. Experimental results show that FLCGS is nearly 11 times faster than using MySQL, especially when the data is massive.

关键词： Metadata Tools Indexes Scalability Big Data Relational databases

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Protein Quantitative Based on Simulated Annealing Algorithm

Protein Quantitative Based on Simulated Annealing Algorithm

引用

IEEE international symposium on Parallel and distributed Processing with applications and IEEE international Conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Jun Tang Yanqin Yang School of Computer Science and Software Engineering East China Normal University Shanghai P.R. China

ISBN: (纸本)9781538637913

Proteomics is a hot pot topic in current, its development experienced from proteins qualitative research to quantitative research. Label-free quantification method is the most widely used protein quantification method. But during the process of label-free quantification, lots of Mass spectrometry (MS) data do not be used so that cause the waste of data resource. In this paper, a quantitative algorithm of protein based on simulated annealing algorithm was proposed to improve the efficiency of the use of MS spectral. This paper is about using all possible peptide ions to extract quantitative information from MS spectral. Verified by Experimental data set about that this protein quantification algorithm can increase the coverage of proteins on the condition of ensured accuracy. This paper focused on the development of proteomics and the analysis and excavation of mass spectrum data, its study results can be widely applied in protein qualification area.

关键词： Peptides Proteins Databases Ions Data mining Fitting Mass spectroscopy

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Automatic Code Generation of distributed Parallel Tasks 19

Automatic Code Generation of Distributed Parallel Tasks

引用

19th IEEE international Conference on Computational science and engineering, 14th IEEE international Conference on Embedded and Ubiquitous computing and 15th international symposium on distributed computing and applications to business, engineering and science, CSE-EUC-DCABES 2016

作者： Lossing, Nelson Ancourt, Corinne Irigoin, Francois MINES ParisTech PSL Research University France

ISBN: (纸本)9781509035939

With the advent of clustered systems, more and more parallel computing is required. However a lot of programming skills is needed to write a parallel codes, especially when you want to benefit from the various parallel architectural resources, with heterogeneous units and complex memory organizations. We present in this paper a method that generates automatically, step by step, a task-parallel distributed code from a sequential program. It has been implemented in an existing source-to-source compiler PIPS. Our approach provides two main advantages 1) all the program transformations are simple and applied on source code, thus are visible by the user, 2) a proof of correctness of the parallelization process can be made. This ensures that we end up with a correct distributed-task program for distributed-memory machines. To our knowledge, it is the first tool that automatically generates a distributed code for task parallelization. © 2016 IEEE.

关键词： Codes (symbols)

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Transparent Redirection of File-Based Data Accesses for distributed Scientific applications 19

Transparent Redirection of File-Based Data Accesses for Dist...

引用

作者： Hofmann, Michael Rünger, Gudula Seifert, Tommy Department of Computer Science Technische Universität Chemnitz Chemnitz09107 Germany

ISBN: (纸本)9781509035939

File-based data access represents one of the most common ways of providing input data and retrieving output data in scientific applications. However, in distributed computing environments, the execution platform of the application and the storage location of the data might be different. Thus, additional efforts for performing the data transfers are required either by the application programmer or user. In this article, we propose an approach for accessing non-local data files with existing applications that can be performed by a regular user. The existing file-based data access operations of an application are intercepted and redirected to dedicated storage services with a specialized communication library. The approach is transparent in the sense that the application does not have to distinguish whether the data access is redirected or not. We present an implementation that supports various POSIX file I/O operations. Performance results with a benchmark application and the mesh generator Gmsh are shown to demonstrate the good performance and the low overhead of the proposed approach. © 2016 IEEE.

关键词： Data transfer

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Optimizing Radio Resource Allocation in Multicast Mobile Networks 19

Optimizing Radio Resource Allocation in Multicast Mobile Net...

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作者： Abdo, Jacques Bou Jreish, Rabih Demerjian, Jacques Atechian, Talar Notre Dame University Computer Science Department Deir el Qamar Lebanon Lebanese University Faculty of Engineering Hadath Lebanon Lebanese University Faculty of Sciences LARIFA-EDST Fanar Lebanon Antonine University Faculty of Engineering TICKET Lab. Baabda Lebanon

ISBN: (纸本)9781509035939

Mobile cloud computing is a rapidly increasing technology where user's demand, for cloud contents, might exceed the capability of mobile networks even with 5G. Multicast communication can offer excellent service for multiple applications, but in some scenarios its efficiency can drop to reach that of unicast. In this work, we will propose a mechanism to optimize the allocation of radio resources when used for multicast, thus offering the mobile operator an opportunity to increase profit without affecting user satisfaction. © 2016 IEEE.

关键词： Wireless networks

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