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检索条件"主题词=distributed computing"

共 27559 条记录，以下是41-50 订阅

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distributed computing Approach to Optimize Road Traffic Simulation 3

Distributed Computing Approach to Optimize Road Traffic Simu...

引用

International Conference Parallel distributed Grid computing

作者： Sinha, Amritanshu Saini, Tapas Srikanth, S. V. Ctr Dev Adv Comp Hyderabad India

ISBN: (纸本)9781479976836

distributed computing is the method of running CPU intensive computations on multiple computers collectively in order to achieve a common objective. Common problems that can be solved on the distributed systems include climate/weather modeling, earthquake simulation, evolutionary computing problems and so on. These type of problems may involve billions or even trillions of computations. A single computer is not capable to finish these computations in short span of time, which is typically in days. distributed computation helps to solve these problems in hours, which could take weeks to solve on a single computer. distributed computing generally uses the existing resources of the organization. Traffic simulation is the process of simulating transportation systems through software on a virtual road network. Traffic simulation helps in analyzing city traffic at different time intervals of a single day. Common use cases could be analyzing city wide traffic, estimating traffic demand at a particular traffic junction and so on. This paper discusses about the approach to use distributed computing paradigm for optimizing the traffic simulations. Optimizing simulations involves running a number of traffic simulations followed by estimating the nearness of that simulation to the real available traffic data. This real data could be obtained by either manual counting at traffic junctions, or using the probes such as loop inductors, CCTV cameras etc. This distributed computing based approach works to find the best traffic simulation corresponding to the real data in hand, using evolutionary computing technique.

关键词： distributed computing Traffic simulation Evolutionary algorithm Root Mean Square Error SUMO

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distributed computing task assignment and lightpath establishment (TALE)

Distributed computing task assignment and lightpath establis...

引用

High-Speed Networks Workshop

作者： Liu, Xin Wei, Wei Yu, Xiang Qiao, Chunming Wang, Ting SUNY Buffalo Dept Comp Sci & Engn Buffalo NY 14260 USA NEC Lab Amer Princeton NJ 08540 USA

ISBN: (纸本)9781424415809

For a future WDM network to efficiently support distributed computing applications that require both execution by multiple geographically separated computing nodes and data transferring between them, traditional approaches to establishing lightpaths between given source destination pairs are not sufficient because a computing task may be executed on any one of several computing nodes having the necessary resources. Therefore, lightpath establishment has to be considered jointly with task assignment to achieve best performance. In this paper, we design and evaluate approaches to the joint optimization of the task assignment and lightpath establishment (TALE) problem. We first formulate the off-line version of the TALE problem and then devise a branch and bound algorithm to obtain the minimum number of wavelengths required to support a set of given jobs. In addition, we propose efficient heuristics to deal with the TALE problem in both off-line and on-line versions. Finally, we demonstrate and compare the performances of proposed heuristics through simulation.

关键词： optical paths distributed computing wavelength division multiplexing network Branch and bound algorithms OFF LINE optimum performance Heuristics

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distributed computing Systems and Approaches for Polar Science Research: An Interdisciplinary Systematic Review 24

Distributed Computing Systems and Approaches for Polar Scien...

引用

24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet computing (CCGrid)

作者： Kathiravelu, Pradeeban Birmingham, Ryan Univ Alaska Anchorage Anchorage AK 99508 USA Emory Univ Atlanta GA 30322 USA

ISBN: (纸本)9798350377521;9798350377514

Polar science is an umbrella term for several research disciplines practiced in Earth's polar regions and other planets. Polar science research includes studies performed on land (such as geology and archeology on the circumpolar tundra), air (atmospheric research), sky (planetary observations due to dark, clear, and clean skies during the polar nights), and ocean (marine studies in the Arctic and the Southern Oceans). Many polar science research works look into overlapping complementary studies. distributed computing is a discipline of computer science that involves computations across multiple distinct physically separated computing resources, such as computer clusters, clouds, and the edge. distributed computing has enabled efficient, scalable, and elastic execution of complex computational problems on utility hardware without expecting access to expensive infrastructure or supercomputers. In this paper, we screen 770 for the interdisciplinary research of distributed computing used in or developed for polar science. After systematically removing the irrelevant studies, we assess the full text of 72 papers to understand the distributed systems research landscape for polar science. We then specifically study 22 polar science research works that develop or heavily utilize distributed computing frameworks or principles in detail. Our study finds distributed execution frameworks instrumental for polar science due to the complex and real-time computational needs, coupled with the remote location requiring efficient network bandwidth availability and usage to access remote resources.

关键词： Computer Networks distributed computing distributed Systems Environmental Systems Polar Science

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distributed computing with advice: information sensitivity of graph coloring

Distributed computing with advice: information sensitivity o...

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34th International Colloquium on Automata, Languages and Programming

作者： Fraigniaud, Pierre Gavoille, Cyril Ilcinkas, David Pelc, Andrzej Univ Paris 07 LIAFA F-75205 Paris 13 France Univ Bordeaux 1 LaBRI F-33405 Talence France Univ Quebec Outaouais Dept Informat & Ingn Gatineau PQ J8X 3X7 Canada

ISBN: (纸本)3540734198

We study the problem of the amount of information (advice) about a graph that must be given to its nodes in order to achieve fast distributed computations. The required size of the advice enables to measure the information sensitivity of a network problem. A problem is information sensitive if little advice is enough to solve the problem rapidly (i.e., much faster than in the absence of any advice), whereas it is information insensitive if it requires giving a lot of information to the nodes in order to ensure fast computation of the solution. In this paper, we study the information sensitivity of distributed graph coloring.

关键词： Network algorithm Graph coloring distributed computing

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distributed computing using SMART Sensors in Industrial automation framework 2

Distributed computing using SMART Sensors in Industrial auto...

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2nd IEEE International Conference on Green computing and Internet of Things (ICGCIoT)

作者： Singa, Naveen Kumar Jadhav, Nilesh Mathew, Bony Siemens Corp Technol Res & Technol Ctr Princeton NJ 08540 USA

ISBN: (纸本)9781538656570

Transition from single nude computing to complex distributed computing environments has proven its efficiency: in the computer networks especially in executing heavy computational tasks. The sensors on the floor have become smart with additional computational capabilities compared to passive acquisition nodes. We merged these two entities and evaluated the distributed computing of PLC load on smart sensors on an industrial automation framework. We have utilized SoC (Raspberry Pi) to build a SMART sensor which has allowed us to create a distributed and scalable sensor network structure. This structure in conjunction with state of the Art Industrial Automation network improves the performance of the Automation networks.

关键词： SMART Sensor distributed computing Cluster Industrial Automation network fog computing

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distributed computing and Image Processing for Autonomous Driving Systems

Distributed Computing and Image Processing for Autonomous Dr...

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IEEE distributed computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Gavankar, Tejaswa Joshi, Aditi Sharma, Shantanu Coll Engn Pune COEP Dept Comp Engn & Informat Technol Pune 411005 Maharashtra India

ISBN: (纸本)9781538653234

in an autonomous driving system, the field of view spans multiple cameras placed around a car driven through numerous driving scenarios. Sensor data is received by the analyzing unit at a high velocity, also the camera provides over millions of images for a small drive of about half a mile. Also not all the images captured by the cameras are capable of being analyzed as some of them might have to be discarded on accounts of high noise levels or lack of lighting. A simple example of this is when pictures clicked on burst mode often have more throwaways than the ones which can be utilized. So, it is important for the analyzing unit to make a series of decisions before even starting the feature extraction process. Efficient processing of a high volume of images is therefore a challenge which autonomous systems such as the driving system face. Given the multiple cameras present on autonomous cars, providing high resolution pictures through varying driving scenarios, the objective is to process and analyze this huge dataset efficiently. This paper shall demonstrate the power of distributed computing in image processing algorithms and analysis of incredibly large datasets using a distributed approach. This paper gives a statistical proof of concept of how implementing a distributed parallel programming paradigm can improve autonomous systems such as the driving system which deal with high volumes of images.

关键词： Computer Vision OpenCV Image Processing distributed computing

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distributed computing environment: Approaches and applications

Distributed computing environment: Approaches and applicatio...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Zeng, Li Xu, Lida Shi, Zhongzhi Wang, Maoguang Wu, Wenjuan Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100864 Peoples R China Renmin Univ China Sch Informat Renmin Peoples R China

ISBN: (纸本)9781424409907

In information systems in particular Business Intelligence systems, for data produced at physically distributed locations most traditional data mining approaches require data to be transmitted to a single location for centralized processing and mining. However, the continual transmission of a large number of data to a central location must be impractical and expensive. Thus, distributed and parallel data mining algorithms and applications were rapidly developed. The paper surveys the-state-of-the art in approaches and applications of distributed computing environment. The goal is to summarize a brief introduction to this field with pointers for further exploration.

关键词： distributed computing distributed and parallel data alining

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distributed computing and data dissemination with Java agents

Distributed computing and data dissemination with Java agent...

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International Conference on Internet computing

作者： Kirby, S AMSRD ARL CI EMUS Army Res Lab White Sands Missile Range NM 88007 USA

ISBN: (纸本)9781932415698

An agent software system is being developed which will allow a user to initiate weather model runs, query a database for information, fetch text weather reports and images such as satellite and generate graphical plots based on model outputs. Methodologies, such as Grid are being explored to spread the workload when model runs are requested.

关键词： JADE agents distributed computing weather data

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distributed computing AND MODELING & SIMULATION: SPEEDING UP SIMULATIONS AND CREATING LARGE MODELS

DISTRIBUTED COMPUTING AND MODELING & SIMULATION: SPEEDING UP...

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Winter Simulation Conference (WSC)/Conference on Modeling and Analysis for Semiconductor Manufacturing (MASM)

作者： Taylor, Simon J. E. Ghorbani, Mohammadmersad Mustafee, Navonil Turner, Stephen J. Kiss, Tamas Farkas, Daniel Kite, Shane Strassburger, Steffen Brunel Univ Sch Informat Syst Comp & Math ICT Innovat Grp Uxbridge UB8 3PH Middx England Univ Westminster Ctr Parallel Comp London W1W 6UW England Swansea Univ Sch Business & Econ Swansea SA2 8PP W Glam Wales Nanyang Technol Univ Parallel & Distributed Comp Ctr Sch Comp Engn Singapore 639798 Singapore Saker Solut Alcester B49 5NJ England Ilmenau Univ Technol Sch Econ Sci D-98693 Ilmenau Germany

ISBN: (纸本)9781457721090

distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing individual runs over locally or remotely available computing resources. distributed simulation techniques allow us to link together models over a network enabling the creation of large models and/or models that could not be developed due to data sharing or model reuse problems. Using real-world examples, this advanced tutorial discusses how both approaches can be used to benefit M&S researchers and practitioners alike.

关键词： Biological system modeling Computational modeling Computers Data models Educational institutions Grid computing Software data sharing digital simulation distributed computing distributed simulation grid computing grid computing model reuse problems modeling

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distributed computing Approach to Solve Unbalanced Three-Phase DOPFs

Distributed Computing Approach to Solve Unbalanced Three-Pha...

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IEEE Electrical Power and Energy Conference (EPEC)

作者： Mosaddegh, Abolfazl Canizares, Claudio A. Bhattacharya, Kankar Univ Waterloo Dept Elect & Comp Engn Waterloo ON Canada

ISBN: (纸本)9781479976645

Distribution systems have been gradually improved with new technologies. They have been upgraded from the traditional system with low-level control to a smart-grid system with high-level control. In the present work, a mathematical model of an unbalanced three-phase distribution system, including ZIP loads and other components of distribution systems is used, and a Genetic Algorithm (GA) -based Distribution Optimal Power Flow (DOPF) model is applied to find the optimal integer solutions for discrete system control elements such as Load Tap Changers (LTCs) and Switched Capacitors (SCs) in a practical feeder. In order to reduce the computational burden and consequently the run-time, a communication Middleware System for smart grids is used to solve the GA-based DOPF problem on a decentralized computer system using a parallel computing approach. This system is responsible for running the model, managing all communication between the nodes, and transferring the results between various parts of the parallel system. Comparing with heuristic methods with faster sub-optimal solutions in a centralized computer system, the present work is expected to yield better optimal solution within acceptable practical runtimes.

关键词： distributed computing distribution optimal power flow genetic algorithm real-time application smart grids

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