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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301-310 订阅

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Proceedings of the 9th iasted international conference on Artificial Intelligence and Soft computing, ASC 2005

Proceedings of the 9th IASTED International Conference on Ar...

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9th iasted international conference on Artificial Intelligence and Soft computing, ASC 2005

ISBN: (纸本)0889865361

the proceedings contain 79 papers. the topics discussed include: a novel analog module placement procedure based on hierarchical genetic algorithm;optimizing dynamical fuzzy systems using aging evolution strategies;realization of rational genetic algorithm;layered server-client model for asynchronous parallel distributed GA and its parameter;phase recovery from a single fringe pattern through the use of a genetic algorithm;application of evolutionary algorithms to the design of logic circuits consisted of multi-input gates;using fuzzy evolutionary programming to solve traveling salesman problems;evolutionary programming with exponential mutation;optimized fuzzy controller for a helicopter;speed control of an induction motor by using fuzzy variable structure controller;a fuzzy model for long-term financial time series;and a hybrid algorithm for random fuzzy expected value models.

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distributed system for satellite trajectory estimation 19

Distributed system for satellite trajectory estimation

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19th international conference on System theory, Control and computing (ICSTCC)

作者： Barbulescu, Lucian Florentin Bazavan, Petru Calin Dabu, Claudia Maria Univ Craiova Fac ACE Dept CIT Craiova Romania Univ Craiova Fac MNS Dept Informat Craiova Romania CS Romania SA Craiova Romania

ISBN: (纸本)9781479984817

the near-Earth space surveillance requires accurate and fast orbit predictions for the multitude of objects that are present around our planet. this prediction is performed by means of orbit propagators which offer solutions to the satellite equations of motion. Based on the method of computation those propagators are split into three categories: analytical, numerical and semi-analytical, each with its own advantages and disadvantages. Today a large number of propagators are implemented in the form of software libraries, some proprietary and some freeware or even open-source. In this paper we have taken a semi-analytical propagator from an open-source Java library and used it in a distributed environment in order to compute the position of a satellite during a large time interval.

关键词： parallel and distributed computing Java orbital state computation satellite propagation

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Workshop on Software Engineering for parallel and distributed systems 97

Workshop on Software Engineering for Parallel and Distribute...

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19th international conference on Software Engineering (ICSE 97) - Pulling Together

作者： Agha, G Russo, S Department of Computer Science University of Illinois 1304 W Springfield Ave Urbana IL Dipartimento di Informatica e Sistemistica Università di Napoli Federico II Via Claudio 21 80125 Napoli Italia

No abstract available.

ISBN: (纸本)0897919149

No abstract available.

关键词： Computer aided software engineering

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A Null-space-based Verification Scheme for Coded Edge computing against Pollution Attacks 25

A Null-space-based Verification Scheme for Coded Edge Comput...

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25th IEEE international conference on parallel and distributed systems (IEEE ICPADS)

作者： Fu, Mingjia Wang, Jin Zhou, Jingya Wang, Jianping Lu, Kejie Zhou, Xiaobo Soochow Univ Sch Comp Sci & Technol Suzhou Peoples R China Collaborat Innovat Ctr Novel Software Technol & I Nanjing Peoples R China Georgia Inst Technol Dept Comp Sci Atlanta GA 30332 USA City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Univ Puerto Rico Dept Comp Sci & Engn Mayaguez PR USA Tianjin Univ Dept Comp Sci & Technol Tianjin Peoples R China

ISBN: (纸本)9781728125831

Edge computing is attracting more and more attention in recent years to fulfill the requirements of latency-critical and computation-intensive applications. By using the coding redundancy, coded edge computing has emerged to optimize the total computation latency. Compared with the servers in cloud computing, edge devices located at the edge of network may not be reliable and trustworthy. In coded edge computing, even one incorrect intermediate result will lead to the incorrect final result. therefore, considering the low computation capabilities of edge devices and low latency requirements of user, we study the result verification problem for coded edge computing. Specifically, we propose an efficient Orthogonal Mark (OM) verification scheme by the properties of linear space. We also conduct solid theoretical analysis to show the successful verification probabilities under two kinds of attack models, respectively. Finally, we conduct extensive simulations to show the effectiveness of the proposed OM verification scheme when comparing with basic coded edge computing scheme and Decoding Comparison (DC) scheme.

关键词： verifiable computation null space edge computing linear coding distributed computing

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An Improved Quicksort Algorithm Based on Tissue-Like P systems with Promoters 19th

An Improved Quicksort Algorithm Based on Tissue-Like P Syste...

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19th international conference on Membrane computing, CMC 2018

作者： Yan, Shuo Xue, Jie Liu, Xiyu School of Management Science and Engineering Shandong Normal University Jinan250014 China

ISBN: (纸本)9783030127961

P systems are distributed and parallel computing models. In this paper, we proposed an improved Quicksort algorithm, called ECTPP-Quicksort, which is based on evolution-communication tissuelike P systems with promoters. ECTPP-Quicksort, taking advantage of the parallel nature, allows objects to be sorted to evolve according to instructions or rules simultaneously. In this way, the time complexity of Quicksort is improved greatly to O(log2n) compared to O(nlog2n) of the conventional Quicksort algorithm. We designed the rules, objects, membrane structures and some other characteristics of ECTPP-Quicksort P system in detail. It is meaningful to the development of membrane computing. © Springer Nature Switzerland AG 2019.

关键词： distributed computer systems

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Password Recovery Using MPI and CUDA

Password Recovery Using MPI and CUDA

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19th international conference on High Performance computing (HiPC)

作者： Apostal, David Foerster, Kyle Chatterjee, Amrita Desell, Travis Univ North Dakota Dept Comp Sci Grand Forks ND 58201 USA Univ North Dakota Dept Elect Engn Grand Forks ND USA

ISBN: (纸本)9781467323703;9781467323727

Using passwords to verify a user's identity is the most widely deployed method for electronic authentication. When system administrators need to recover lost passwords or test accounts for easily guessable passwords, it can require millions of hash function and string comparison operations. these operations can be computationally expensive but are easily parallelizable because each password can be tested independently. therefore, using high performance computing (HPC) can greatly reduce the time required to perform password recovery. Due to the high level of fine-grained parallelism of this type of problem, GPU computing using Compute Unified Device Architecture (CUDA) can be used to further improve performance. the scale of HPC can be further increased through the use of multiple GPUs, but this requires communication between the GPU devices and can reduce the overall performance due to increased communications latency. In this work a well established HPC framework, Message Passing Interface (MPI), was used to minimize the amount of latency and handle the communication between the devices. this allowed for a course-grained division of the problem using MPI where each device applies a fine-grained division of the problem using CUDA to perform the actual calculations. this paper describes three dictionary-based password recovery algorithms that use both MPI and CUDA. In this approach the hashed values of known words are computed and compared with hash values of unknown user passwords. the algorithms differed in GPU memory utilization and how the data was divided and distributed among the MPI nodes and GPU devices. A divided dictionary algorithm split the dictionary of potential passwords over the GPUs and copied the password database to each GPU. A divided password database algorithm split the password database and copied the potential passwords. A minimal memory algorithm split the password database and sequentially processed individual passwords on the GPUs. the div

关键词： application program interfaces database management systems graphics processing units message passing parallel architectures security of data storage management

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distributed control of voltage supply system used in electric vehicles 19

Distributed control of voltage supply system used in electri...

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19th international conference on System theory, Control and computing (ICSTCC)

作者： Alexa, Ioan-Alex Onea, Alexandru Gh Asachi Tech Univ Iasi Dept Automat Control & Appl Informat Iasi Romania

ISBN: (纸本)9781479984817

the actual trend in automotive is to reduce as much as possible pollution caused by motor vehicle emissions. this could be achieved by using electrical propulsion systems which usually contains: electrical machine, three phase voltage source inverter (VSI), voltage supply system. the main problem of the full electric vehicles represents the autonomy due to low energy capacity of batteries. this issue could be solved by using a hydrogen fuel cell in parallel with a battery pack to extend the range of the electrical vehicles. this paper presents a voltage supply system which connects to a DC bus a battery, a fuel cell, and a supercapacitor using DCDC converters. the focus of this work is on keeping controlling the voltage level of DC bus and on energy distribution between elements of voltage supply system. the proposed algorithm is validated using a close loop model which contains simulation of: fuel cell, battery pack, supercapacitor, DCDC converter, distributed control strategy of voltage supply system, DC Link capacitor, VSI, electrical machine, vehicle dynamics, and driver. the model is developed in Matlab/Simulink.

关键词： voltage supply system electric vehicle distributed control fuel cell supercapacitor

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the parallelized Cuckoo Filter for Cold Data Representation 23

The Parallelized Cuckoo Filter for Cold Data Representation

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Sun, Bowen Luo, Lailong Li, Shangsen Chen, Yingwen Guo, Deke College of Computer National University of Defense Technology China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory China College of Computer National University of Defense Technology National Lab for Parallel and Distributed Processing China

ISBN: (纸本)9781665494571

Cold data contributes a large portion of the big data today and is usually stored in secondary storage. Various sketch data structures are implemented to represent the stored elements and provide constant-time membership queries. Considering the large volume and infrequent access of cold data, we envision three rationales of cold data representation: 1) parallelized insertion, 2) accurate representation, and 3) constant-time query/deletion. the existing sketches, however, fail to achieve these rationales simultaneously. To this end, we propose a novel sketch named parallelized cuckoo Filter (PCF) in this paper. PCF divides the standard cuckoo filter into multiple homogenous segments. An additional hash function is introduced to assign an element to a segment. the element will be inserted into the selected segment. With such a design, element insertions in PCF can be naturally parallelized. Besides, as a variant of the cuckoo filter, PCF naturally realizes the accurate representation and constant-time query/deletion requirements. Comprehensive experiments further indicate that PCF achieves the three rationales simultaneously. © 2021 IEEE.

关键词： Hash functions Smart cities Big Data Data structures Standards

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Towards a Staging Environment for the Internet of things

Towards a Staging Environment for the Internet of Things

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19th IEEE international conference on Pervasive computing and Communications (IEEE PerCom)

作者： Beilharz, Jossekin Wiesner, Philipp Boockmeyer, Arne Brokhausen, Florian Behnke, Ilja Schmid, Robert Pirl, Lukas thamsen, Lauritz Univ Potsdam Hasso Plattner Inst Potsdam Germany Tech Univ Berlin Berlin Germany

ISBN: (纸本)9781665404242

Internet of things (IoT) applications promise to make many aspects of our lives more efficient and adaptive through the use of distributed sensing and computing nodes. A central aspect of such applications is their complex communication behavior that is heavily influenced by the physical environment of the system. To continuously improve IoT applications, a staging environment is needed that can provide operating conditions representative of deployments in the actual production environments - similar to what is common practice in cloud application development today. Towards such a staging environment, we present Marvis, a framework that orchestrates hybrid testbeds, co-simulated domain environments, and a central network simulation for testing distributed IoT applications. Our preliminary results include an open source prototype and a demonstration of a Vehicle-to-everything (V2X) communication scenario.

关键词： Internet of things Cyber-Physical systems Fog computing distributed Applications Co-Simulation Testing

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D3TAC: Utilizing distributed computing for DDoS attack traffic analysis on the cloud 19

D3TAC: Utilizing distributed computing for DDoS attack traff...

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19th international Multi-Topic conference, INMIC 2016

作者： Khattak, Rana Anwar, Zahid Pakistan Fontbonne University St. Louis United States

ISBN: (纸本)9781509043002

distributed Denial of Service attacks produce large volumes of spoofed network data. Manual analysis of gigabytes of network logs to determine source of the attacks, victim IPs and vulnerability exploitation is time-consuming and error prone. Cloud computing has recently emerged as a promising technology which allows everyday users to harness the massively parallel processing capabilities of commodity machines as a pay-As-you-go utility service. the contribution of this work is the conceptualization, design and implementation of a distributed DDoS analysis framework that uses the power of the cloud via the MapReduce paradigm to perform an entropy based clustering and security analysis of the key features of attack traffic. We have evaluated our framework on two large and publicly available DDoS attack datasets. Moreover, we achieve 86% speedup in analysis with a modestly sized cluster of ten nodes. © 2016 IEEE.

关键词： MapReduce

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