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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是341-350 订阅

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Data Mining Algorithms parallelization in Logic Programming Framework for Execution in Cluster 19th

Data Mining Algorithms Parallelization in Logic Programming ...

引用

19th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and systems (NEW2AN) / 12th conference on the Internet of things and Smart Spaces ruSMART (Are You Smart)

作者： Malov, Aleksey Rodionov, Sergey Shorov, Andrey St Petersburg Electrotech Univ LETI St Petersburg Russia

this article describes an approach to parallelizing of data mining algorithms in logical programming framework, for distributed data processing in cluster. As an example Naive Bayes algorithm implementation in Prolog ... 详细信息

ISBN: (纸本)9783030308599;9783030308582

关键词： parallel algorithms distributed algorithms Data mining distributed data mining MapReduce Logical programming

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parallel Algorithms for Predicate Detection 19

Parallel Algorithms for Predicate Detection

引用

20th international conference on distributed computing and Networking (ICDCN)

作者： Garg, Vijay K. Garg, Rohan Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781450360944

Given a trace of a distributed computation and a desired predicate, the predicate detection problem is to find a consistent global state that satisfies the given predicate. the predicate detection problem has many applications in the testing and runtime verification of parallel and distributed systems. We show that many problems related to predicate detection are in the parallel complexity class NC, the set of decision problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors. Given a computation on n processes with at most m local states per process, our parallel algorithm to detect a given conjunctive predicate takes O(log mn) time and O(m(3)n(3) log mn) work. the sequential algorithm takes O(mn(2)) time. For data race detection, we give a parallel algorithm that takes O(logmn log n) time, also placing that problem in NC. this is the first work, to the best of our knowledge, that places the parallel complexity of such predicate detection problems in the class NC.

关键词： Predicate Detection parallel Algorithms Data Race Detection

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Numerical Calculations for Geophysics Inversion Problem Using Apache Hadoop Technology

Numerical Calculations for Geophysics Inversion Problem Usin...

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19th international conference on Computer Networks

作者： Krauzowicz, Lukasz Szostek, Kamil Dwornik, Maciej Oleksik, Pawel Piorkowski, Adam AGH Univ Sci & Technol Fac Geol Geophys & Environm Protect Dept Geoinformat & Appl Comp Sci PL-30059 Krakow Poland

ISBN: (纸本)9783642312168

there are considerations on the problem of time-consuming calculations in this article. this type of computational problems concerns to multiple aspects of earth sciences. distributed computing allows to perform calculations in reasonable time. this way of processing requires a cluster architecture. the authors propose using Apache Hadoop technology to solve geophysics inversion problem. this solution is designed rather for analyzing data, but it also enables to perform computations. there is an architecture of solution proposed and real test carried out to determine the performance of method.

关键词： parallel computing distributed computing cluster numerical computing

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Optimal Sample-Based Fusion for distributed State Estimation 19

Optimal Sample-Based Fusion for Distributed State Estimation

引用

19th international conference on Information Fusion (FUSION)

作者： Steinbring, Jannik Noack, Benjamin Reinhardt, Marc Hanebeck, Uwe D. Karlsruhe Inst Technol Inst Anthropomat & Robot Intelligent Sensor Actuator Systems Lab ISAS D-76021 Karlsruhe Germany TIMC Financial Markets Amsterdam Netherlands

ISBN: (纸本)9780996452748

In this paper, we present a novel approach to optimally fuse estimates in distributed state estimation for linear and nonlinear systems. An optimal fusion requires the knowledge of the correct correlations between locally obtained estimates. the naive and intractable way of calculating the correct correlations would be to exchange information about every processed measurement between all nodes. Instead, we propose to obtain the correct correlations by keeping and processing a small set of deterministic samples on each node in parallel to the actual local state estimation. Sending these samples in addition to the local state estimate to the fusion center allows for correctly reconstructing the desired correlations between all estimates. In doing so, each node does not need any information about measurements processed on other nodes. We show the optimality of the proposed method by means of tracking an extended object in a multi-camera network.

关键词： State estimation

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Efficient parallel and External Matching

Efficient Parallel and External Matching

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19th international conference on Euro-Par

作者： Birn, Marcel Osipov, Vitaly Sanders, Peter Schulz, Christian Sitchinava, Nodari Karlsruhe Inst Technol D-76021 Karlsruhe Germany

ISBN: (纸本)9783642400476

We study a simple parallel algorithm for computing matchings in a graph. A variant for unweighted graphs finds a maximal matching using linear expected work and O(log(2) n) expected running time in the CREW PRAM model. Similar results also apply to External Memory, MapReduce and distributed memory models. In the maximum weight case the algorithm guarantees a 1/2-approximation. Although the parallel execution time is linear for worst case weights, an experimental evaluation indicates good scalabilty on distributed memory machines and on GPUs. Furthermore, the solution quality is very good in practice.

关键词： Memory architecture

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Control of Hybrid Energy systems and Evaluation of Integration into Virtual Power Plant 19

Control of Hybrid Energy Systems and Evaluation of Integrati...

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19th international Scientific conference on Electric Power Engineering (EPE)

作者： Vrana, Michal Smugala, Ondrej Mastny, Petr Moravek, Jan thiele, Marcelo Bicca Chaguri Felicio, Gabriel Felipe Brno Univ Technol Dept Elect Power Engn FEEC Brno Czech Republic Univ Fed Santa Catarina Dept Elect & Elect Engn Florianopolis SC Brazil Univ Estadual Campinas Dept Elect Energy Syst Campinas SP Brazil

ISBN: (纸本)9781538646120

this paper presents a control concept of virtual power plant with analysis of measured data of controlling distributed energy sources and energy storage system. the aim of the presented analysis is to demonstrate and compare possibilities of controlling distributed energy source and energy storage system in parallel operation with the grid.

关键词： distributed energy source virtual power plant control system hybrid inverter energy storage system

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19th international conference on Algorithms and Architectures for parallel Processing, ICA3PP 2019

19th International Conference on Algorithms and Architecture...

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19th international conference on Algorithms andArchitectures for parallel Processing, ICA3PP 2019

ISBN: (纸本)9783030389604

the proceedings contain 102 papers. the special focus in this conference is on Algorithms and Architectures for parallel Processing. the topics include: Utility-Based Location Distribution Reverse Auction Incentive Mechanism for Mobile Crowd Sensing Network;safeguarding Against Active Routing Attack via Online Learning;reliability Aware Cost Optimization for Memory Constrained Cloud Workflows;null Model and Community Structure in Heterogeneous Networks;an Asynchronous Algorithm to Reduce the Number of Data Exchanges;two-Stage Clustering Hot Event Detection Model for Micro-blog on Spark;mobility-Aware Workflow Offloading and Scheduling Strategy for Mobile Edge computing;HSPP: Load-Balanced and Low-Latency File Partition and Placement Strategy on distributed Heterogeneous Storage with Erasure Coding;adaptive Clustering for Outlier Identification in High-Dimensional Data;Improving the parallelism of CESM on GPU;penguin Search Aware Proactive Application Placement;a Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation;Cloud Server Load Turning Point Prediction Based on Feature Enhanced Multi-task LSTM;Neuron Fault Tolerance Capability Based Computation Reuse in DNNs;reliability Enhancement of Neural Networks via Neuron-Level Vulnerability Quantization;A Fault Detection Algorithm for Cloud computing Using QPSO-Based Weighted One-Class Support Vector Machine;paraMoC: A parallel Model Checker for Pushdown systems;FastDRC: Fast and Scalable Genome Compression Based on distributed and parallel Processing;a parallel Approach to Advantage Actor Critic in Deep Reinforcement Learning;Blockchain-PUF-Based Secure Authentication Protocol for Internet of things;parallel Approach to Sliding Window Sums;selective Velocity distributed Indexing for Continuously Moving Objects Model;a New Bitcoin Address Association Method Using a Two-Level Learner Model.

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Simulation of a distributed flood control system using a parallel asynchronous solver for systems of ODEs

Simulation of a distributed flood control system using a par...

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20th iasted international conference on Applied Simulation and Modelling, ASM 2012

作者： Mantilla, Ricardo Cunha, Luciana K. Krajewski, Witold F. Small, Scott J. Jay, Laurent O. Fonley, Morgan Curtu, Rodica IIHR Hydroscience and Engineering University of Iowa Iowa City IA United States Department of Mathematics University of Iowa Iowa City IA United States

ISBN: (纸本)9780889869257

A recently developed parallel asynchronous solver for systems of ordinary differential equations (ODEs) is used to simulate flows along the channels in a river network. In our model, precipitation is applied over the hillslopes adjacent to the river network links and water movement from hillsope to link and along the river network is represented as a system of ODEs. the numerical solver is based on dense output Runge-Kutta methods that allow for asynchronous integration. A static partition method is used to distribute the workload among different processes, enabling a parallel implementation that capitalizes on a distributed memory system. Communication between processes is performed asynchronously. We illustrate the solver capabilities by integrating flow transport equations for a ∼32,000 km2 river basin subdivided into 574,000 sub-watersheds that are interconnected by the river network. We show that the runtime for an eight month-long simulation forced by 1-km resolution NEXRAD rainfall is completed in under 4 minutes using 64 computing nodes. In addition, we include equations to simulate small reservoirs spread throughout the river network and estimate changes in hydrographs at multiple locations. Our results provide a firm theoretical basis for the concept of distributed flood control systems.

关键词： Floods

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AErlang: Empowering Erlang with Attribute-Based Communication 19th

AErlang: Empowering Erlang with Attribute-Based Communicatio...

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19th IFIP WG 6.1 international conference on Coordination Models and Languages (COORDINATION) Held as Part of the 12th international Federated conference on distributed computing Techniques (DisCoTec)

作者： De Nicola, Rocco Duong, Tan Inverso, Omar Trubiani, Catia IMT Inst Adv Studies Lucca Lucca Italy Gran Sasso Sci Inst Laquila Italy

ISBN: (纸本)9783319597461;9783319597454

Attribute-based communication provides a novel mechanism to dynamically select groups of communicating entities by relying on predicates over their exposed attributes. In this paper, we embed the basic primitives for attribute-based communication into the functional concurrent language Erlang to obtain what we call AErlang, for attribute Erlang. To evaluate our prototype in terms of performance overhead and scalability we consider solutions of the Stable Marriage Problem based on predicates over attributes and on the classical preference lists, and use them to compare the runtime performance of AErlang with those of Erlang and X10. the outcome of the comparison shows that the overhead introduced by the new communication primitives is acceptable, and our prototype can compete performance-wise with an ad-hoc parallel solution in X10.

关键词： Attribute-based communication Erlang Concurrency distributed programming Collective adaptive systems Stable marriage

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A secure and distributed framework for sharing COVID-19 patient reports using consortium blockchain and IPFS 6

A secure and distributed framework for sharing COVID-19 pati...

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6th international conference on parallel, distributed and Grid computing, PDGC 2020

作者： Kumar, Randhir Tripathi, Rakesh National Institute of Technology Department of Information Technology Raipur CG492010 India

ISBN: (纸本)9781728171326

Today healthcare industries are maintaining COVID-19 patients' information electronically which includes patients' diagnostic reports, patients' private information, and doctor prescriptions. However, the COVID-19, patient sensitive information is currently stored in centralized or third-party storage model. One of the key challenge of centralized storage model is the preserving privacy of patient information and transparency in the system. the privacy risk include illegitimate access to sensitive information of patient such as identification details access and misutilization of patient information and their clinical records. To overcome this challenge, we proposed a distributed on-chain and off-chain storage model using consortium blockchain and interplanetary file systems (IPFS). the proposed framework though maintaining patient privacy makes it easier for legitimate entities like healthcare providers (e.g., physicians and clinical staffs) to access clinical data of COVID-19 patients'. © 2020 IEEE.

关键词： COVID-19

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