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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

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An Evaluation of Data Consistency Models in Geo-Replicated Cloud Storage

An Evaluation of Data Consistency Models in Geo-Replicated C...

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international Multidisciplinary Information Technology and Engineering conference (IMITEC)

作者： Rebaone Mkandla Edmore Chikohora Computer Systems Engineering Botswana Accountancy College Francistown Botswana Namibia University of Science & Technology Windhoek Namibia

ISBN: (纸本)9781665417501

Cloud computing has become a major and most preferred technology for data storage across the world. This technology tremendously improved service delivery to clients as data and services are brought closer to the client. Bringing data and services closer to the client requires the implementation of a distribution architecture, that is, an architecture that spans across a wider geographical area. However, such architecture comes with its own challenges. It requires proper management of data and services across multiple data centres to maintain consistency, availability of data and services, and systems.that are tolerant to failures.. In this study we focus on evaluating currently used methodologies to ensure data consistency performance levels for cloud storage and determine whether the proposed solutions are effective and feasible. From the surveyed data consistency models, we noted that it’s difficult to find one model that satisfies the three main challenges associated with data consistency across multiple geo-replicated data centres.

关键词： Data centers Cloud computing Prefetching Memory distributed databases Computer architecture Data models

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TaskTorrent: A Lightweight distributed Task-Based Runtime System in C++ 3

TaskTorrent: A Lightweight Distributed Task-Based Runtime Sy...

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3rd IEEE/ACM Annual Parallel Applications Workshop, Alternatives to MPI+X, PAW-ATM 2020

作者： Cambier, Leopold Qian, Yizhou Darve, Eric ICME Stanford University United States ME and ICME Stanford University United States

ISBN: (纸本)9781728154503

We present TaskTorrent, a lightweight distributed task-based runtime in C++.TaskTorrent uses a parametrized task graph to express the task DAG, and one-sided active messages to trigger remote tasks asynchronously. As a result the task DAG is completely distributed and discovered in parallel. It is a C++14 library and only depends on MPI. We explain the API and the implementation. We perform a series of benchmarks against StarPU and ScaLAPACK. Micro benchmarks show it has a minimal overhead compared to other solutions. We then apply it to two large linear algebra problems. TaskTorrent scales very well to thousands of cores, exhibiting good weak and strong scalings. © 2020 IEEE.

关键词： Linear algebra

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A framework based on genetic algorithms for distributed constraint optimization problems 3

A framework based on genetic algorithms for distributed cons...

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3rd international conference on Electron Device and Mechanical Engineering, ICEDME 2020

作者： Liu, Lizhen Chongqing University College of Computer Science Chongqing China

ISBN: (数字)9781728181455

ISBN: (纸本)9781728181455

Local search algorithms are widely applied in solving large-scale distributed Constraint Optimization Problems(DCOPs). In local search algorithms, each agent makes its decision based on values of its neighbours. Thus, the search space of agents are bound up with those values. Fortunately, Genetic Algorithm(GA) can direct a search process to a more promising search space and help the search process break up the bound of local states, so we propose a GA-based framework (LSGA) to enhance local search algorithms. In LSGA, a novel fitness function is proposed to help agents evaluate the quality of value assignments. Moreover, we propose a method to decide crossover positions in term of agent-communication and the topological structure of DCOPs. Finally, we design a series of genetic operators for autonomous agents in DCOPs. The LSGA framework can be easily applied in any local search algorithm, and the experimental results demonstrate the superiority of the use of LSGA in the typical search algorithms over state-of-art local search algorithms. © 2020 IEEE.

关键词： Multi agent systems

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11th international conference on Ambient systems. Networks and Technologies, ANT 2020 / 3rd international conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops

11th International Conference on Ambient Systems, Networks a...

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11th international conference on Ambient systems. Networks and Technologies, ANT 2020 / 3rd international conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops

The proceedings contain 169 papers. The topics discussed include: impact of the geometric field of view on drivers' speed perception and lateral position in driving simulators;analysis and processing of environmental monitoring system;on using physical based intrusion detection in SCADA systems.modern approach to design a distributed and scalable platform architecture for smart cities complex events data collection;fuzzy similarities for road environment-type detection by a connected vehicle from traffic sign probabilistic data;activity recognition in the city using embedded systems.and anonymous sensors;forecasting risk of diseases in Kazakhstan with using mapping technique based on 9 years statistics;understanding the relation between distance and train station choice behavior of cyclists in the western region of the Netherlands;door-to-door transit accessibility using Pareto optimal range queries;using neural nets to predict transportation mode choice: an Amsterdam case study;and a model of second-degree virtual cut nodes applied to complex networks in ecological landscape.

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Robust Sliding Mode Control based Maximum Power Point Tracking of Solar Photovoltaic System 3

Robust Sliding Mode Control based Maximum Power Point Tracki...

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3rd international conference on computing, Mathematics and Engineering Technologies, iCoMET 2020

作者： Hameed, Arslan Zad, Haris Sheh Ulasyar, Abasin Hashim, Jibran Riphah International University Department of Electrical Engineering Islamabad Pakistan USPCAS-E National University of Science and Technology Department of Electrical Power Engineering Pakistan Riphah International University Electrical Engineering Department Islamabad Pakistan

ISBN: (纸本)9781728149707

This article proposes a maximum power point tracking (MPPT) algorithm based on perturb observe (PO) method and sliding mode control (SMC). For efficient control of the PV system, the accurate and efficient model of the system is required. The major problem has been occurred due to the nonlinear behavior of the I-V characteristic curve in PV systems. This nonlinear behavior is due to varying irradiance and temperature. In this article, the SMC based PO MPPT technique is utilized to track the maximum power for the PV system. A two-step sliding mode control is designed. Firstly, a sliding surface is designed and secondly, discontinues control law is designed. The PO algorithm is a simple, easy and less complex method to use with SMC. The smooth highest powerpoint is attained at different irradiances in less time. The System includes PV panel, SMC, MPPT PO method and dc/dc boost converter. The efficiency of the proposed method can be determined by simulation. The results have been checked at different temperatures and different irradiances in the existence of load. The simulation results confirm the proposed method better efficiency. © 2020 IEEE.

关键词： Sliding mode control

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distributed MLPerf ResNet50 Training on Intel Xeon Architectures with TensorFlow 2021

Distributed MLPerf ResNet50 Training on Intel Xeon Architect...

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international conference on High Performance computing in Asia-Pacific Region Workshops (HPC Asia)

作者： Wang, Wei Hasabnis, Niranjan Intel Corp Santa Clara CA 95054 USA

ISBN: (纸本)9781450383035

MLPerf benchmarks, which measure training and inference performance of ML hardware and software, have published three sets of ML training results so far. In all sets of results, ResNet50v1.5 was used as a standard benchmark to showcase the latest developments on image recognition tasks. The latest MLPerf training round (v0.7) featured Intel's submission with TensorFlow. In this paper, we describe the recent optimization work that enabled this submission. In particular, we enabled BFloatl6 data type in ResNet50v1.5 model as well as in Intel-optimized TensorFlow to exploit full potential of 3rd generation Intel Xeon scalable processors that have built-in BFloat16 support. We also describe the performance optimizations as well as the state-of-the-art accuracy/convergence results of ResNet50v1.5 model, achieved with large-scale distributed training (with upto 256 MPI workers) with Horovod. These results lay great foundation to support future MLPerf training submissions with large scale Intel Xeon clusters.

关键词： Bfloat16 LARS ResNet50 MLPerf Convergence Low-Precision Training Intel Xeon Architectures

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

8th EAI International Conference on Advancement of Science a...

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

ISBN: (纸本)9783030806170

The proceedings contain 74 papers. The special focus in this conference is on Advancement of Science and Technology. The topics include: Earliest-Arrival Route: A Global Optimized Communication for Networked Control systems.Impulsive Noise Mitigation Using Hybrid Nonlinear Preprocessor and Turbo Code in OFDM-PLC System;comparative Analysis of Kalman Filtering and Machine Learning Based Cardiovascular Signal Processing Algorithms;modeling and Analysis of Three-Phase Inverter for Induction Motor Drive for Three-Wheel Electric Vehicle Application;performance Analysis of Multicarrier Modulation Techniques for Next Generation Networks;synchronous Generator Excitation Loss Detection Based on Reactive Power Flow Limit;estimation of Synchrophasor Parameters in the Presence of 3rd & 5th Harmonics and White Gaussian Noise;Performance Analysis of Vertical Sectorization in Sub-6-GHz Frequency Bands for 4G Mobile Network Under Realistic Deployment Scenario;power Loss Reduction and Voltage Profile Improvement of Radial Distribution System Through Simultaneous Network Reconfiguration and distributed Generation Integration;A Comprehensive Review and Evaluation of Classical MPPT Techniques for a Photovoltaic System;antiviral Activity of Aloe pirottae A. Berger Root Extracts Against Influenza A and B Viruses, Picornaviruses and Dengue Virus: An Endemic Plant Species of Ethiopia;dynamic Performance Evaluation of Type-3 Compensator for Switch-Mode Dc-Dc Converter;inset-Feed Rectangular Microstrip Patch Antenna Array Performance Enhancement for 5G Mobile Applications;blockchain Based Green Coffee Supply Chain Management to Improve Traceability and Transparency (Case Study on Sidama Coffee);wireless Local Area Network Intrusion Detection System Using Deep Belief Networks;Direct Adaptive Fuzzy PI Strategy for a Smooth MPPT of Variable Speed Wind Turbines.

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

8th EAI International Conference on Advancement of Science a...

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

ISBN: (纸本)9783030806200

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Object Labeling in 3D from Multi-view Scenes Using Gaussian-Hermite Moment-Based Depth Map 3rd

Object Labeling in 3D from Multi-view Scenes Using Gaussian-...

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3rd international conference on Computer Vision and Image Processing (CVIP)

作者： Enan, Sadman Sakib Rahman, S. M. Mahbubur Haque, Samiul Howlader, Tamanna Hatzinakos, Dimitrios BUET Dept EEE Dhaka 1205 Bangladesh North Carolina State Univ Dept ECE Raleigh NC 27606 USA Univ Dhaka ISRT Dhaka 1000 Bangladesh Univ Toronto Dept ECE Toronto ON M5S 2E4 Canada

ISBN: (纸本)9789813292918;9789813292901

Depth as well as intensity of a pixel plays a significant role in labeling objects in 3D environments. This paper presents a novel approach of labeling objects from multi-view video sequences by incorporating rich depth information. The depth map of a scene is estimated from focus-cues using the Gaussian-Hermite moments (GHMs) of local neighboring pixels. It is expected that the depth map obtained from GHMs provides robust features as compared to that provided by other popular depth maps such as those obtained from Kinect and defocus cue. We use the rich depth and intensity values of a pixel to score every point of a video frame for generating labeled probability maps in a 3D environment. These maps are then used to create a 3D scene wherein available objects are labeled distinctively. Experimental results reveal that our proposed approach yields excellent performance of object labeling for different multi-view scenes taken from RGB-D object dataset, in particular showing significant improvements in precision-recall characteristics and F1-score.

关键词： Depth map Object labeling 3D scene

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2019 IEEE 3rd international conference on Fog and Edge computing, ICFEC 2019 - proceedings

2019 IEEE 3rd International Conference on Fog and Edge Compu...

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3rd IEEE international conference on Fog and Edge computing, ICFEC 2019

ISBN: (纸本)9781728123653

The proceedings contain 11 papers. Topics discussed include: combining antibiotic with fog computing: antibiotic 2.0;towards context-aware and dynamic management of stream processing pipelines for fog computing;using virtual events for edge-based data stream reduction in distributed publish/subscribe systems.optimal placement of stream processing operators in the fog;development of a smart metering microservice based on fast Fourier transform (FFT) for edge/Internet of things environments;edge-to-edge resource discovery using metadata replication;enabling fog computing using self-organizing compute nodes;robust resource allocation using edge computing for vehicle to infrastructure (V2I) networks;ORCH: distributed orchestration framework using mobile edge devices;and machine learning based timeliness-guaranteed and energy-efficient task assignment in edge computing systems.

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