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检索条件"任意字段=Proceedings of the 1997 Conference on Advances in Parallel and Distributed Computing"

共 691 条记录，以下是41-50 订阅

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6th International conference on Simulation and Modeling Methodologies,Technologies and Applications, SIMULTECH 2016

6th International Conference on Simulation and Modeling Meth...

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6th International conference on Simulation and Modeling Methodologies,Technologies and Applications, SIMULTECH 2016

ISBN: (纸本)9783319698311

The proceedings contain 17 papers. The special focus in this conference is on Simulation and Modeling Methodologies,Technologies and Applications. The topics include: Agent-Based Modelling and Simulation Framework for Health Care;parameter Identification of Canalyzing and Nested Canalyzing Boolean Functions with Ternary Vectors for Gene Networks;the Power of Surrogate-Assisted Evolutionary computing in Searching Vaccination Strategy;modelling Population Dynamics Using a Hybrid Simulation Approach: Application to Healthcare;a Simulation-Based Dynamic Scheduling Method in Project Cost Estimation Process;future Prediction of Regional City Using Causal Inference Based on Time Series Data;Cooperative Radio Resources Allocation and Congestion Prevention Scheme for LTE-A;model-Based Development of a Multi-algorithm Harvest Planning System;cluster Performance Simulation for Spark Deployment Planning, Evaluation and Optimization;generator Platform of Benchmark Time-Lapsed Images Development of Cell Tracking Algorithms: Implementation of New Features Towards a Realistic Simulation of the Cell Spatial and Temporal Organization;proteins Flexibility as a Criterion for Elucidation of Activating Mutants in Personalized Cancer Medicine;distributed PowerShell Load Generator (D-PLG): A Tool for Generating Dynamic Network Traffic;HLogo: A Haskell STM-Based parallel Variant of NetLogo;requirements Gathering and Validation for Risk-Oriented Tool Support in Supply Chains;making Network Solvers Globally Convergent.

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Join Operations to Enhance Performance in Hadoop MapReduce Environment 5th

Join Operations to Enhance Performance in Hadoop MapReduce E...

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5th International conference on Frontiers in Intelligent computing - Theory and Applications (FICTA)

作者： Pagadala, Pavan Kumar Vikram, M. Eswarawaka, Rajesh Reddy, P. Srinivasa JNTUH Bharat Inst Engn Technol Hyderabad India JNTUA Sri Venkateswara Coll Engn Anantapur Andhra Pradesh India Dayananda Sagar Univ Bangalore Karnataka India

ISBN: (纸本)9789811031564;9789811031557

Analyzing large data sets is gaining more importance because of its wide variety of applications in parallel and distributed environment. Hadoop environment gives more flexibility to programmers in parallel computing. One of the advantages of Hadoop is query evaluation over large datasets. Join operations in query evaluation plays a major role over the large data. This paper Ferret outs the earlier solutions, prolongs them and recommends a new approach for the implementation of joins in Hadoop.

关键词： Hadoop Query evaluation distributed environment Performance analysis Optimization

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International conference on Recent Advancement in Computer, Communication and Computational Sciences, RACCCS 2016

International Conference on Recent Advancement in Computer, ...

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International conference on Recent Advancement in Computer, Communication and Computational Sciences, RACCCS 2016

ISBN: (纸本)9789811073854

The proceedings contain 64 papers. The special focus in this conference is on . The topics include: Signal equalization in MIMO-OFDM based sensor network system;using parallel and distributed reachability in model checking;performance analysis of blind eigenvalue with multiple antenna-based spectrum sensing in cognitive radio;signal space estimation: Application to subspace spectrum analysis;Applying bacterial colony optimization to cognitive cellular network for evaluating SINR;trust evaluation in social network using trusted graph;Performance analysis of index modulation based OFDM system over multipath channels;Energy efficient routing protocol for MANET;Wavelets based anomaly-based detection system or J48 and naïve bayes based signature-based detection system: A comparison;A dual-coding technique to reduce dynamic power dissipation in deep submicron (DSM) technology;Design and development of an enhanced security scheme using RSA for preventing false data injection in wireless sensor networks;Improved TCP congestion control algorithm for LTE SDN networks;Convergence of bidirectional PON with single-sink wireless sensor network using queue theory;Combined MST-graph coloring algorithm for PCI distribution of lte-advanced self-organizing network;An energy-efficient model using cooperative MIMO in wireless sensor network;Trivariate polynomial based key management scheme (TPB-KMS) in hierarchical wireless sensor networks;exactly-once semantics with real-time data pipelines;Interval-valued intuitionistic uncertain linguistic information-based TOPSIS method for multi-criteria group decision-making problems;dual hesitant fuzzy set-based intuitionistic fuzzy time series forecasting;derivation of a novel diabetes risk score using semantic discretization for Indian population;Short-term solar power forecasting using random vector functional link (RVFL) network;Brain tumor segmentation using K-means–FCM hybrid technique.

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parallelization of Synthetic Aperture Radar (SAR) Image Formation Algorithm 1st

Parallelization of Synthetic Aperture Radar (SAR) Image Form...

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1st International conference on Computational Intelligence and Informatics (ICCII)

作者： Rao, P. V. R. R. Bhogendra Shashank, S. S. Def Res & Dev Lab Hyderabad Andhra Pradesh India BrahMos Aerosp Private Ltd Hyderabad Andhra Pradesh India

ISBN: (纸本)9789811024719;9789811024702

Synthetic aperture radar (SAR)-based platforms have to process increasingly large number of complex floating-point operations and have to meet hard real-time deadlines. However, real-time use of SAR is severely restricted by computation time taken for image formation. One of the classical methods of reducing this computation time to make it suitable for real-time application is multi-processing. A successful attempt has been made by the authors to develop and test a parallel algorithm for synthetic aperture radar image formation, and the results are presented in this paper.

关键词： Synthetic aperture radar SAR image formation Digital signal processing parallel computing distributed computing

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advances on P2P, parallel, Grid, Cloud and Internet computing: proceedings of the 12th International conference on P2P, parallel, Grid, Cloud

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2017年

作者： Fatos Xhafa Santi Caball Leonard Barolli

ISBN: (纸本)9783319698342

This book presents the latest, innovative research findings on P2P, parallel, Grid, Cloud, and Internet computing. It gathers the proceedings of the 12th International conference on P2P, parallel, Grid, Cloud and Internet computing, held on November 810, 2017 in Barcelona, Spain. These computing technologies have rapidly established themselves as breakthrough paradigms for solving complex problems by enabling the aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid computing originated as a paradigm for high-performance computing, offering an alternative to expensive supercomputers through different forms of large-scale distributed computing, while P2P computing emerged as a new paradigm after client-server and web-based computing and has shown to be useful in the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), B2E (Business to Employee), and so on. Cloud computing has been defined as a computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits. Cloud computing has quickly been adopted in a broad range of application domains and provides utility computing at large scale. Lastly, Internet computing is the basis of any large-scale distributed computing paradigm; it has very rapidly developed into a flourishing field with an enormous impact on todays information societies, serving as a universal platform comprising a large variety of computing forms such as Grid, P2P, Cloud and Mobile computing. The aim of the book advances on P2P, parallel, Grid, Cloud and Internet computing is to provide the latest findings, methods and development techniques from both theoretical and practical perspectives, and to reveal synergies between these large-scale computing paradigms.

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Dynamic load balancing of massively parallel unstructured meshes 8

Dynamic load balancing of massively parallel unstructured me...

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8th Workshop on Latest advances in Scalable Algorithms for Large-Scale Systems, ScalA 2017 - Held in conjunction with the International conference for High Performance computing, Networking, Storage and Analysis, SC 2017

作者： Diamond, Gerrett Smith, Cameron W. Shephard, Mark S. Rensselaer Polytechnic Institute TroyNY United States

ISBN: (纸本)9781450351256

Simulating systems with evolving relational structures on massively parallel computers require the computational work to be evenly distributed across the processing resources throughout the simulation. Adaptive, unstructured, mesh-based finite element and finite volume tools best exemplify this need. We present EnGPar and its diffusive partition improvement method that accounts for multiple application specified criteria. EnGPar's performance is compared against its predecessor, ParMA. Specifically, partition improvement results are provided on up to 512Ki processes of the Argonne Leadership computing Facility's Mira BlueGene/Q system. © 2017 Association for computing Machinery.

关键词： distributed computer systems

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Constrained Mixed-Critical parallelization for distributed Heterogeneous Systems 9

Constrained Mixed-Critical Parallelization for Distributed H...

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9th IEEE International conference on Intelligent Data Acquisition and Advanced computing Systems - Technology and Applications (IDAACS)

作者： Hoettger, Robert Oezcelikoers, Mustafa Heisig, Philipp Krawczyk, Lukas Wolff, Carsten Igel, Burkhard IDiAL Inst Dortmund Univ Appl Sci & Arts Dortmund Germany

ISBN: (纸本)9781538606971

Distributing software effectively to multi core, many core, and distributed systems has been studied for decades but still advances successively driven by domain specific constraints. Programming vehicle ECUs is one of the most constrained domains that recently approached the need for concurrency due to advanced driver assistant systems or autonomous driving approaches. In this paper, software distribution challenges for such systems are discussed and solutions are presented for instruction precise modeling, affinity constrained distribution, and reducing task response times achieved by advanced software parallelization. Therefore, existing partitioning and mapping algorithms are advanced to consider affinity constraints, software component tags and communication costs. Our experiments along a remote controlled model car show that using our new advanced results instead of sequential implementations or software distributions provided by the operating system on a distributed heterogeneous system significantly improves its responsiveness in order to potentially reduce energy consumption and replaces error prone manual constraint considerations for mixed-critical applications.

关键词： Constrained parallelization heterogeneous systems distributed systems multicore parallel embedded systems

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An Efficient Dynamic Priority-Queue Algorithm Based on AHP and PSO for Task Scheduling in Cloud computing 1

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16th International conference on Hybrid Intelligent Systems (HIS) / 8th World Congress on Nature and Biologically Inspired computing (NaBIC)

作者： Ben Alla, Hicham Ben Alla, Said Ezzati, Abdellah Touhafi, Abdellah Hassan 1 Univ LAVETE Lab Sci & Tech Fac Sci & Tech FacMath & Comp Sci Dept Settat 26000 Morocco Vrije Univ Brussel Dept Elect & Informat ETRO Pl Laan 2 B-1050 Brussels Belgium

ISBN: (数字)9783319529417

ISBN: (纸本)9783319529417;9783319529400

Nowadays Cloud computing is an emerging technology in the area of parallel and distributed computing. Task scheduling is one of the major issues in cloud computing, which plays an important role to improve the overall performance and services of the cloud. Task scheduling in cloud computing means assign best suitable resources for the task to be executed with the consideration of different parameters like execution time, user priority, cost, scalability, throughput, makespan, resource utilization and so on. In this paper, we address the challenge of task scheduling, and we consider one of most critical issues in scheduling process such as the task priorities. The goal of this paper is to propose an efficient Dynamic Priority-Queue (DPQ) algorithm based on Analytic Hierarchy Process (AHP) with Particle Swarm Optimization (PSO) algorithm. The proposed algorithm DPQ-PSO gives full consideration to the dynamic characteristics of the cloud computing environment. Further, the proposed algorithm has been validated through the CloudSim simulator. The experimental results validate that the proposed approach can effectively achieve good performance, user priority, load balancing, and improve the resource utilization.

关键词： Cloud computing PSO algorithm AHP DPQ-PSO algorithm Task scheduling Dynamic queues

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Federated conference on Software Development and Object Technologies, SDOT 2015

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Federated conference on Software Development and Object Technologies, SDOT 2015

ISBN: (纸本)9783319465340

The proceedings contain 27 papers. The special focus in this conference is on Software Development and Object Technologies. The topics include: Memory analysis and performance modeling for hpc applications on embedded hardware via instruction accurate simulation;model checking in parallel logic controllers design and verification;fuzzy logic for optimized path establishment in optical networks;providing extensible mobile services to car owners based on on-board-diagnostics;a new architectural design pattern of distributed information systems with asynchronous data actualization;kopenograms and their implementation in bluej;simulation of hydrological processes by optimization algorithm using continuous function;cache module for the dictionary writing system;control process management by means of evolutionary algorithm;on parallel versions of jumping finite automata;temporal context manager;scalable distributed datastore for real-time cloud computing;application of statistical classifiers on java source code;the survey of current ipfrr mechanisms;synthesis of low-power embedded software using developmental genetic programming;bluej as the netbeans plugin;integration of inertial sensor data into control of the mobile platform;interface-based software requirements analysis;using interactive card animations for understanding of the essential aspects of non-recursive sorting algorithms;an incremental approach to semantic clustering designed for software visualization and feature extraction methods in jem-euso experiment.

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2nd International conference on Intelligent computing and Applications, ICICA 2015

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2nd International conference on Intelligent computing and Applications, ICICA 2015

ISBN: (纸本)9789811016448

The proceedings contain 57 papers. The special focus in this conference is on Intelligent computing and Applications. The topics include: Stability analysis of carbon nanotube interconnects;an approach to identify data leakage in secure communication;multiobjective ranked selection of differentially expressed genes;a rule based approach for connective in malayalam language;enhancing trust of cloud services and federation of multi cloud infrastructures for provisioning reliable resources;comfort sensor using fuzzy logic and arduino;despeckling of medium resolution ScanSAR data;recommendation based P2P file sharing on disconnected MANET;application of voltage stability index for congestion management;fuzzy logic-based control in wireless sensor network for cultivation;smart plug for household appliances;modeling and CFD analysis of gerotor pump;design of area-delay efficient parallel adder;a novel approach to detect XSS attacks in real time online social networking;enhancement of power quality problem in grid using custom power devices;genetic algorithm based placement and sizing of distributed generators;illumination level study and energy assessment analysis at university office;design and analysis of grid connected PV generation system;a robust energy management system for smart grid;an electric vehicle powertrain design;innovation in the operation of UAV sensors;advance control strategies for a conical process;power electronic drives and control technology status;brief review;a survey on challenges in integrating big data;coronary heart disease detection from variation of speech and voice;delay analysis of ControlNet and DeviceNet in distributed control system;single axis tracking to enhance power from solar photovoltaic panel and grid interactive level multiplying cascaded multilevel inverter for photovoltaic MPPT.

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