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

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MPISE: Symbolic Execution of MPI Programs 16

MPISE: Symbolic Execution of MPI Programs

引用

16th IEEE international symposium on High Assurance Systems engineering (HASE)

作者： Fu, Xianjin Chen, Zhenbang Zhang, Yufeng Huang, Chun Dong, Wei Wang, Ji Natl Univ Def Technol Coll Comp Changsha Hunan Peoples R China Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha Hunan Peoples R China

ISBN: (纸本)9781479981113

Message Passing Interfaces (MPI) plays an important role in parallel computing. Many parallel applications are implemented as MPI programs. The existing methods of bug detection for MPI programs have the shortage of providing both input and non-determinism coverage, leading to missed bugs. In this paper, we employ symbolic execution to ensure the input coverage, and propose an on-the-fly schedule algorithm to reduce the interleaving explorations for non-determinism coverage, while ensuring the soundness and completeness. We have implemented our approach as a tool, called MPISE, which can automatically detect the deadlock and runtime bugs in MPI programs. The results of the experiments on benchmark programs and real world MPI programs indicate that MPISE finds bugs effectively and efficiently. In addition, our tool also provides diagnostic information and replay mechanism to help understand bugs.

关键词： Message Passing Interfaces symbolic execution deadlock detection

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Weis-Fogh Wave Power Electricity Generation Device Optimization Parallel Model

Weis-Fogh Wave Power Electricity Generation Device Optimizat...

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

作者： Quan Kuang Xin Chen Shesheng Zhang School of Energy & Power Engineering Wuhan University of Technology Wuhan China School of Logistics Engineering Wuhan University of Technology Wuhan China

Based on the high lift generated by Weis-Fogh mechanism, two stage wave power electricity generation device is designed, a size objective optimization model of parallel computation is established, the formula of Green... 详细信息

关键词： Force Wave power Green's function methods Mathematical model Optimization Computational modeling Hydrodynamics

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distributed time-sensitive task selection in mobile crowdsensing 15

Distributed time-sensitive task selection in mobile crowdsen...

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16th ACM international symposium on Mobile Ad Hoc Networking and computing, MobiHoc 2015

作者： Cheung, Man Hon Southwell, Richard Hou, Fen Huang, Jianwei Department of Electrical and Computer Engineering University of Macau China Department of Information Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781450334891

With the rich set of embedded sensors installed in smartphones and the large number of mobile users, we witness the emergence of many innovative commercial mobile crowdsensing applications that combine the power of mobile technology with crowdsourcing to deliver time-sensitive and location-dependent information to their customers. Motivated by these real-world applications, we consider the task selection problem for heterogeneous users with different initial locations, movement costs, movement speeds, and reputation levels. computing the social surplus maximization task allocation turns out to be an NP-hard problem. Hence we focus on the distributed case, and propose an asynchronous and distributed task selection (ADTS) algorithm to help the users plan their task selections on their own. We prove the convergence of the algorithm, and further characterize the computation time for users’ updates in the algorithm. Simulation results suggest that the ADTS scheme achieves the highest Jain’s fairness index and coverage comparing with several benchmark algorithms, while yielding similar user payoff to a greedy centralized benchmark. Finally, we illustrate how mobile users coordinate under the ADTS scheme based on some practical movement time data derived from Google Maps. Copyright © 2015 ACM.

关键词： Game theory

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The Study on the Motivation of T2O E-Commerce Model's Development

The Study on the Motivation of T2O E-Commerce Model's Develo...

引用

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

作者： Xu Shuo Yang Yi The School of Information Guizhou University of Finance and Economics Guiyang China

T2O is one of the e-commerce business modes which developed from the context of media convergence. The paper explained the essence and motivation of T2O through the research methods of qualitative research, logical inference, case analysis and so on. Firstly, the paper introduced the concept and mechanism of the T2O. Then, it analyzed the differences between the traditional e-commerce modes and T2O, and pointed the uniqueness of T2O. Finally, it launched the motivation of T2O's development from seven perspective, that are the policy-driven, internet thinking, technology-driven, industrial convergence, market demand, business integration and value chain integration.

关键词： Media Industries business Internet TV Convergence Economics

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ZDLC: Towards Automated Software Construction and Migration

ZDLC: Towards Automated Software Construction and Migration

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

作者： Souheil Khaddaj Yajna Kumar Makoondlall Bippin Makoond Shyam Chivukula Kethan Keerthi School of Computing and Information Systems Kingston University UK Cognizant Technology Solutions London UK Cognizant Technol. Solutions London UK

The construction of modern software projects with a multitude of quality requirements is a challenging and complex task particularly for large scale systems. Underestimating this complexity may result in project failures at worst or the delivery of poor quality products that are plagued with software defects at best. However, introducing scientific rigor at every step of the software development life cycle (SDLC) can reduce defect leakage through the different stages. While this can improve quality considerably it might affect upfront cost and speed of delivery. Thus, there is a clear need to introduce automation in software production and defect tracking. The Zero Deviation Life Cycle (ZDLC) framework addresses this conflict i.e. Quality vs. Cost, by proposing a methodology that can be applied not only to new projects but also to legacy applications.

关键词： Software Unified modeling language business Automation Computer architecture Natural language processing Aging

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Metadata Namespace Management of distributed File System

Metadata Namespace Management of Distributed File System

引用

第十四届分布式计算及其应用国际学术研讨会

作者： Baoshan Luo Xinyan Zhang Zhipeng Tan School of Computer Science Wuhan Vocational College of Software and Engineering School of Computer Science Huazhong University of Science and Technology

With the rapid development of internet, the distributed file system is gradually facing problem of supporting concurrent 10 K and 100 K servers operations, so it now becomes an important issue that how to improve performance of the metadata server in high concurrent reading/writing environments. This paper designs and implements the distributed file system named RaccoonFS, researches and solves the problem of low response speed of namespace management brought by the lock competition in distributed file system, and it proposes a new metadata namespace management method that realized the technology of Copy-On-Write and Multi-Version Concurrency Control in B+ tree. Through the evaluation, the namespace management that combined COW and MVCC in B+ tree greatly improved the read and write performance.

关键词： distributed file system metadata management copy on write multi version concurrency control

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Study on the agriculture information cloud architecture and application

Study on the agriculture information cloud architecture and ...

引用

international Conference on Industrial engineering, Management science and applications, ICIMSA 2015

作者： Qing, Peng Ye, Ming Liu, Guangyuan School of Computer and Information Science Southwest University Chongqing400715 China College of Electronic and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9783662471999

Cloud computing refers to subscription-based, fee-for-service utilization of computer hardware and software over the Internet. The model is gaining acceptance for business information technology (IT) applications because it allows capacity and functionality to increase on the fly without major investment in infrastructure, personnel or licensing fees. This paper propose a agriculture information cloud solution to provide for agriculture information computing of a mass of heterogeneous, distributed giant collection of information systems. At the same time, this paper also proposes agriculture information cloud architecture that is optimized. This cloud architecture mainly is constituted of hardware layer, data service, virtual layer, middleware layer, application layer. To effectively manage agriculture information platform, this paper also provides insights on market-based resource management strategies that encompass both customer-drive service and application management. Furthermore this paper finally evaluate the performance of CPU and internet-based service workload in the environment of proposed agriculture information cloud architecture and management service strategies. Experiments shows that the proposed agriculture information cloud infrastructure and management service strategies is effective and essential for large-scale agriculture information resource computing of a mass of heterogeneous, distributed giant collection of information systems which carry environmental resources, agricultural production, agricultural products, rural synthesize management and farmers’ education and training. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Middleware

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A Foreground-Background Segmentation Algorithm for Video Sequences

A Foreground-Background Segmentation Algorithm for Video Seq...

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

作者： Zhou Wei Peng Li Huang Yue Dept. of Internet of Things Engineering Jiangnan University Wuxi China School of IoT technology Wuxi institute of technology Wuxi China

Moving objects extraction is a crucial part of video surveillance system. This paper presents a foreground-background algorithm for motion detection. It is based on traditional adaptive mixture Gaussian model. By dynamically adjusting the parameters and the number of Gaussian components, the computation cost reduced greatly. In order to solve detected moving target based on Gaussian mixture model easily broken, two-way matching method on the basis of frame difference thoughts with a series of image filtering methods are combined. In a stable outdoor detector, the algorithm deals with lighting changes, swaying of leaves, and various noises reliably. The proposed algorithm can identify moving objects more exactly than traditional method. An intrusion detection alarming system can be built to discover the abnormity by using the algorithm to process and analyze the video sequences.

关键词： Adaptation models Gaussian mixture model Algorithm design and analysis Gaussian distribution Video sequences Intrusion detection

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Data Analysis of distributed Application Platform Based on the R which Apply to Digital Library

Data Analysis of Distributed Application Platform Based on t...

引用

The 14th international symposium on distributed computing and applications to business,engineering and science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

作者： Ningbo Wu Fan Yang College of Information Guizhou University of Finance and Economics Guiyang China Library Guizhou University of Finance and Economics Guiyang China

Digital Library large data resource lack of analysis and use,in order to mining the value of big data resources,proposed platformization analysis and processing *** integrate R and Hadoop to construct distributed data analysis platform,many big data analytical can be decomposed into “large” and “small” data processing section,overcome before scheme puzzle on analytical of large dataset,improve the performance of data analysis,platform able to handle data analysis tasks.

关键词： component big data distributed data analysis

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An Identification Method of News Scientific Intelligence Based on TF-IDF

An Identification Method of News Scientific Intelligence Bas...

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The 14th international symposium on distributed computing and applications to business,engineering and science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

作者： Lu Pan Haibo Tang Lei Zhou Liuyang Wang Quanyin Zhu Faculty of Computer Engineering Huaiyin Institute of Technology Huaian Jiangsu ProvinceChina

With the development of Internet,the amount of Information has been rapidly growing which is spread *** order to improve the value and accuracy of science information that is pushed in this paper,an intelligence dichotomous method for science information categorization to identify science information from massive Web news is *** the experiment,85.3%recognition rate of the recognition non-tech news are realized and 82.9%accuracy rate,the results show that the method can effectively identify Web science information news and reduce the amount of independent news.

关键词： Scientific intelligence text categorization TF-IDF

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