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Autonomous cruise control of intelligent high-speed train with online energy-saving optimization 21

Autonomous cruise control of intelligent high-speed train wi...

引用

21st IEEE international symposium on Parallel and distributed Processing with applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Zhou, Feng Liang, Hongkun Tao, Kewu Li, Shuo Changsha University of Science and Technology College of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350329223

The rapid development of intelligent transportation technology has promoted the progress of multiple trains cooperative technology. This paper proposes an online cooperative cruise control method based on improved particle swarm optimization (IPSO) and deep feedforward neural network (DFNN), which enables each train to adaptively adjust the controller according to its own state information, ensuring speed synchronization and maintaining safe distance intervals between trains. Through the collection of information from the train's big data, the optimal time-varying cooperative control gain is fitted to achieve efficient, safe, and real-time control of multiple high-speed trains. © 2023 IEEE.

关键词： Real time control

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Security issues in distributed software 6th

引用

6th European Software engineering Conference Held Jointly with 5th ACM SIGSOFT symposium on the Foundations of Software engineering, ESEC/FSE 1997

作者： Kemmerer, Richard A. Reliable Software Group Department of Computer Science University of California Santa BarbaraCA93106 United States

ISBN: (纸本)3540635319

As more business activities are being automated and an increasing number of computers are being used to store vital and sensitive information the need for secure computer systems becomes more apparent. This need is even more apparent as the systems and applications are being distributed and access is via an insecure network. The security of these systems can be achieved only through systematic design;they can not be achieved through haphazard seatof-the-pants methods. This paper introduces some known threats to secure distributed computing, discusses some of the current approaches to achieving security in these systems, and demonstrates further problems. Most of the discussion centers around web-based computing. © Springer-Verlag Berlin Heidelberg 1997.

关键词： distributed computer systems

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Research on mixed network architecture collaborative application model

Research on mixed network architecture collaborative applica...

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MIPPR 2009 - Remote Sensing and GIS Data Processing and Other applications: 6th international symposium on Multispectral Image Processing and Pattern Recognition

作者： Jing, Changfeng Zhao, Xi'an Liang, Song College of Survey and Mapping and Urban Spatial Information Beijing University of Civil Engineering and Architecture Beijing 100044 China Beijing 100083 China

ISBN: (纸本)9780819478092

When facing complex requirements of city development, ever-growing spatial data, rapid development of geographical business and increasing business complexity, collaboration between multiple users and departments is needed urgently, however conventional GIS software (such as Client/Server model or Browser/Server model) are not support this well. Collaborative application is one of the good resolutions. Collaborative application has four main problems to resolve: consistency and co-edit conflict, real-time responsiveness, unconstrained operation, spatial data recoverability. In paper, application model called AMCM is put forward based on agent and multi-level cache. AMCM can be used in mixed network structure and supports distributed collaborative. Agent is an autonomous, interactive, initiative and reactive computing entity in a distributed environment. Agent has been used in many fields such as compute science and automation. Agent brings new methods for cooperation and the access for spatial data. Multi-level cache is a part of full data. It reduces the network load and improves the access and handle of spatial data, especially, in editing the spatial data. With agent technology, we make full use of its characteristics of intelligent for managing the cache and cooperative editing that brings a new method for distributed cooperation and improves the efficiency. © 2009 Copyright SPIE - The international Society for Optical engineering.

关键词： Network architecture

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An architecture for rapid distributed fault tolerance 12th

引用

10 Workshops held in conjunction with 12th international Parallel symposium and 9th symposium on Parallel and distributed Processing, IPPS/SPDP 1998

作者： Russ, Samuel H. Mississippi State University NSF Engineering Research Center for Computational Field Simulation United States

ISBN: (纸本)3540643591

Embedded high perfonnance computing is being called upon to provide critical computing resources with increasing frequency. The ability to tolerate faults during operation, both maintaining operational capability and ensuring that correct results continue to be produced, is an important ingredient in mission-critical systems. An architecture for such a system is proposed, providing the ability to withstand faults with graceful degradation in performance and complete transparency to the applications programmer. The final system will be able to offer fault-tolerant computing transparently to MPI applications and draws heavily on existing, demonstrated successes. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Fault tolerance

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Information computing and applications 1

引用

丛书名： Lecture Notes in Computer science

1000年

作者： Baoxiang Liu Chunlai Chai

ISBN: (数字)9783642252556

ISBN: (纸本)9783642252549

This book constitutes the refereed proceedings of the Second international Conference on Information computing and applications, ICICA 2010, held in Qinhuangdao, China, in October 2011.;The 97 papers presented were carefully reviewed and selected from numerous submissions. They are organized in topical sections on computational economics and finance, computational statistics, mobile computing and applications, social networking and computing, intelligent computing and applications, internet and Web computing, paralelle and distributed computing, and system simulation and computing.

关键词： Computer Communication Networks Algorithm Analysis and Problem Complexity Software engineering Information Systems applications (incl. Internet) Probability and Statistics in Computer science IT in business

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Communication generation for irregular parallel applications

Communication generation for irregular parallel applications

引用

international symposium on Parallel computing in Electrical engineering

作者： Hu, Changjun Li, Jing Wang, Jue Li, Yonghong Ding, Liang Li, Jianjiang Univ Sci & Technol Beijing Sch Informat Engn 30 Xueyuan RdHaidian Dist Beijing 100083 Peoples R China

ISBN: (纸本)0769525547

Irregular computing significantly influences the performance of large scale parallel applications. How to generate local memory access sequence and communication set efficiently for irregular parallel application is an important issue in compiling a data parallel language into a Single Program Multiple Data (SPMD) code for distributed-memory machines. In this paper we propose a hybrid approach, which combines the advantages of the algebra method and the integer lattice method. Our approach derives an algebraic solution of communication set enumeration at compile time for the situation of irregular array references in nested loops. Based on the integer lattice, we develop our method for global-to-local and local-to-global index translations in the case of alignment and cyclic (k) distribution. Then, we present our algorithm for the corresponding SPMD code generation, which adopts some communication optimization techniques. In our method, when parameters are known, the communication set generation, the global-to-local and local-to-global index translations, and the SPMD code generation can be completed at compile time without inspector phase of run time.

关键词： Translation (languages)

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A Survey of Security Concerns, Mechanisms and Testing in Cloud Environment 2

A Survey of Security Concerns, Mechanisms and Testing in Clo...

引用

2nd international Conference on Electronics, Communication and Aerospace Technology, ICECA 2018

作者： Pillutla, Harikrishna Arjunan, Amuthan Department of Computer Science and Engineering Pondicherry Engineering College Pondicherry India

ISBN: (纸本)9781538609651

distributed computing is a form of computing in which a group of independent systems are connected to a computer network. Cloud computing is one of the emerging domain in the field of Computer science. With the help of cloud computing, the computing services can be delivered over the internet. Before the advent of cloud computing, the business applications were found to be complicated, expensive and the software and hardware requirements of these applications were daunting. These issues were resolved in cloud computing since the hardware and software are maintained by the cloud vendors. Another advantage of using cloud computing is that it follows pay-per-use technology which means that the user only pays for the resources he/ she consumes. The main goal of the security principles in cloud computing is to ensure that the Confidentiality, Integrity, and Availability of the data are preserved. This paper presents an extensive survey of the security threats;its countermeasures and testing that are available in cloud computing. © 2018 IEEE.

关键词： Application programs

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Efficient multi-source data transfer in Data Grids 06

Efficient multi-source data transfer in Data Grids

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6th IEEE international symposium on Cluster computing and the Grid (CCGRID 2006)

作者： Wang, Chien-Min Hsu, Chun-Chen Chen, Hsi-Min Wu, Jan-Jan Acad Sinica Inst Informat Sci Taipei Taiwan Natl Cent Univ Dept Comp Sci & Informat Engn Taoyuan Taiwan

ISBN: (纸本)0769525857

As the number of data-intensive applications increases in various domains, scientists need to save, retrieve, and analyze increasingly large datasets. The huge volume of data and the long latency of data transfer on the Internet make it very difficult to ensure high-performance access to Data Grids. Thus, data replication techniques have been widely adopted to solve the latency problem. In this paper, we propose an efficient data replication algorithm for multi-source data transfer, whereby a data replica can be assembled in parallel from multiple distributed data sources and adapted to the variability of network bandwidths. The experimental results show that the proposed algorithm can obtain more aggregated bandwidth, reduce connection overheads, and achieve superior load balance.

关键词： Data analysis Delay Bandwidth Information retrieval Internet Assembly Information science Computer science Data engineering Application software

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Auto-tuning Streamed applications on Intel Xeon Phi 32

Auto-tuning Streamed Applications on Intel Xeon Phi

引用

27th international Heterogeneity in computing Workshop in conjunction with 32nd IEEE international Parallel and distributed Processing symposium (IPDPS)

作者： Zhang, Peng Fang, Jianbin Tang, Tao Yang, Canqun Wang, Zheng Natl Univ Def Technol Coll Comp Compiler Lab Changsha Hunan Peoples R China Univ Lancaster Sch Comp & Commun MetaLab Lancaster England

ISBN: (纸本)9781538643686

Many-core accelerators, as represented by the XeonPhi coprocessors and GPGPUs, allow software to exploit spatial and temporal sharing of computing resources to improve the overall system performance. To unlock this performance potential requires software to effectively partition the hardware resource to maximize the overlap between host-device communication and accelerator computation, and to match the granularity of task parallelism to the resource partition. However, determining the right resource partition and task parallelism on a per program, per dataset basis is challenging. This is because the number of possible solutions is huge, and the benefit of choosing the right solution may be large, but mistakes can seriously hurt the performance. In this paper, we present an automatic approach to determine the hardware resource partition and the task granularity for any given streamed application, targeting the Intel XeonPhi architecture. Instead of hand-crafting the heuristic for which the process will have to repeat for each hardware generation, we employ machine learning techniques to automatically learn it. We achieve this by first learning a predictive model offline using training programs;we then use the learned model to predict the resource partition and task granularity for any unseen programs at runtime. We apply our approach to 23 representative parallel applications and evaluate it on a CPU-XeonPhi mixed heterogenous many-core platform. Our approach achieves, on average, a 1.6x (upto 5.6x) speedup, which translates to 94.5% of the performance delivered by a theoretically perfect predictor.

关键词： Heterogeneous computing Parallelism Performance Tuning Machine learning

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An efficient dynamic neural network for predicting time series data stream 18

An efficient dynamic neural network for predicting time seri...

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18th IEEE Int Symp on Parallel and distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom)

作者： Chen, Liang Wang, Wei Yang, Yun East China Normal Univ Sch Data Sci & Enginerring Shanghai Peoples R China USST Business Sch Shanghai Peoples R China

ISBN: (纸本)9781665414852

The prediction of the time-series data stream in AIOps is an important research field of data mining. However, due to the non-stationary and non-linear characteristics of time series data, many existing methods cannot comprehensively solve the accuracy and reduce time consumption. To solve this problem, we propose a new MWNN (Memory Wavelet Neural Network) algorithm. It can effectively overcome the contradiction between accuracy and time consumption. In MWNN, we designed a new hidden layer structure. By adding a new memory storage unit to the hidden layer, it can be ensured that the hidden layer can make the best use of historical data and greatly improve the prediction accuracy. Moreover, the model does not require any prior information or data distribution assumptions. This paper selects real Ops data for verification. The final experimental results show that, compared with the commonly used prediction models, this model has the highest prediction accuracy and lower time consumption. The data set used in the experiment has been uploaded to https://***/Yang-Yun726/MWNN/tree/master/DATA.

关键词： data stream Prediction dynamic neural network memory neuron AIOps

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