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检索条件"任意字段=25th IEEE International Conference on Distributed Computing Systems"

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An efficient distributed broadcasting algorithm for wireless ad hoc networks

An efficient distributed broadcasting algorithm for wireless...

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6th international conference on Parallel and distributed computing, Applications and Technologies (PDCAT 2005)

作者： Li, YM Peng, ST Chu, WM Hosei Univ Dept Comp Sci Tokyo 1848584 Japan

ISBN: (纸本)0769524052

In this paper we propose a distributed broadcasting algorithm for wireb?ss ad hoc networks. In the algorithm, an efficient strategy is used to determine the forward status of a node by just checking whether there exists a ring that contains all its neighbors. the proposed algorithm is more efficient than the existing broadcasting algorithms in the literatures. that is, the size of the forwarding nodes found by our algorithm is smaller and the running time is faster than other broadcasting. algorithms. Reducing the number of forwarding nodes will decrease the probability of transmission collision, and hence improve the packet delivery ratio. the algorithm runs in O (d(2)) time, where d is the maximum node degree. the full coverage is not guaranteed but as shown by the simulation results, the probability of full coverages can be over 99 percent when the network contains 100 or more nodes.

关键词： distributed computer systems

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Extreme-Scale UQ for Bayesian Inverse Problems Governed by PDEs

Extreme-Scale UQ for Bayesian Inverse Problems Governed by P...

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25th ACM/ieee international conference for High Performance computing, Networking, Storage and Analysis (SC)

作者： Bui-thanh, Tan Burstedde, Carsten Ghattas, Omar Martin, James Stadler, Georg Wilcox, Lucas C. Univ Texas Austin ICES Austin TX 78712 USA

ISBN: (纸本)9781467308052;9781467308045

Quantifying uncertainties in large-scale simulations has emerged as the central challenge facing CS&E. When the simulations require supercomputers, and uncertain parameter dimensions are large, conventional UQ methods fail. Here we address uncertainty quantification for large-scale inverse problems in a Bayesian inference framework: given data and model uncertainties, find the pdf describing parameter uncertainties. To overcome the curse of dimensionality of conventional methods, we exploit the fact that the data are typically informative about low-dimensional manifolds of parameter space to construct low rank approximations of the covariance matrix of the posterior pdf via a matrix-free randomized method. We obtain a method that scales independently of the forward problem dimension, the uncertain parameter dimension, the data dimension, and the number of cores. We apply the method to the Bayesian solution of an inverse problem in 3D global seismic wave propagation with over one million uncertain earth model parameters, 630 million wave propagation unknowns, on up to 262K cores, for which we obtain a factor of over 2000 reduction in problem dimension. this makes UQ tractable for the inverse problem.

关键词： Bayes methods approximation theory covariance matrices geophysics computing inverse problems random processes seismic waves uncertainty handling wave propagation

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Automatically Tuned Dynamic Programming with an algorithm-by-blocks

Automatically Tuned Dynamic Programming with an algorithm-by...

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16th ieee international conference on Parallel and distributed systems, ICPADS 2010

作者： Li, Jiajia Tan, Guangming Chen, Mingyu Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9780769543079

As the complexity of current computer architecture increases, domain-specific program generators are extensively used to implement performance portable libraries. Dynamic programming is a performance-critical kernel in many applications including engineering operations and bioinformatics. In this paper, we propose an Automatically Tuned Dynamic Programming (ATDP) to optimize performance of dynamic programming algorithm across various architectures. First, an algorithm-by-blocks for dynamic programming is designed to facilitate optimizing with well-known techniques including cache and register tiling. Further, the parameterized algorithm-by-blocks is cooperative with an auto-tuning framework and leverages a hill climbing algorithm to search the possible best program on a given platform. the experiments on two x86 processors demonstrate that (i) the generated scalar programs improve performance by over 10 times, (ii) the vector programs further speedup the scalar ones by a factor of 4 and 2 for single-precision and double-precision, respectively. © 2010 ieee.

关键词： Dynamic programming

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Reconfigurable computing in ubiquitous computers: A roadmap

Reconfigurable computing in ubiquitous computers: A roadmap

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6th international conference on Parallel and distributed computing, Applications and Technologies, PDCAT 2005

作者： Yan, Lu Liang, Zheng Lemminkaisenkatu 14 FIN-20520 Turku Finland

ISBN: (纸本)0769524052

Reconfigurable computing (RC) is the presence of hardware that can be reconfigured to implement specific functionality more suitable for specially tailored hardware than on a simple uniprocessor [1]. Although the concept was first proposed in the 1960s, RC has only recently become increasingly popular due to the prevalence of ubiquitous computing: the gracefully integrated software and hardware to support and ease daily activities of human society. this scenario is appealing from a scientific point of view, since most of the open problems and several of the concepts require fine-tuning. this paper describes some selected areas of RC practice in the ubiquitous computing era, and presents a roadmap for the future. © 2005 ieee.

关键词： distributed computer systems

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Microservice based Video Cloud Platform with Performance-aware Service Path Selection 25

Microservice based Video Cloud Platform with Performance-awa...

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25th ieee international conference on Web Services (ieee ICWS) Part of the ieee World Congress on Services

作者： Zhang, Haitao Yang, Ning Xu, Zhengjun Tang, Bingchang Ma, Huadong Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China

ISBN: (纸本)9781538672471

Microservice based cloud architecture becomes a promising solution to deal with the challenges of large-scale intelligent video applications. However, the current service selection methods usually do not consider both the fine-grained online service capability and the features of video tasks, and this will result in the degradation of the overall efficiency of the service composition. In this paper, we propose a novel Performance-aware Service PAth Selection (PSPAS) approach for the microservice based video cloud computing platform. Firstly, we establish a fine-grained time estimation model which synthetically considers the processing capability of microservice instances, the characteristics of video processing tasks, and the data transfer conditions between microservice instances. then, based on the proposed performance model, we search and update the optimal microservice path by using the shortest path algorithm. Finally, the experiment evaluation results demonstrate the effectiveness of our method.

关键词： Microservice service path selection cloud computing video processing

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A Framework for Mobile Crowd Sensing and computing based systems 12

A Framework for Mobile Crowd Sensing and Computing based Sys...

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12th ieee international conference on Advanced Networks and Telecommunications systems (ANTS)

作者： Ray, Arpita Mallick, Sakil Mondal, Sukanta Paul, Soumik Chowdhury, Chandreyee Roy, Sarbani Jadavpur Univ Dept Comp Sci & Engn Kolkata W Bengal India

ISBN: (纸本)9781538681343

these days mobile phones arc having advanced onboard sensors embedded in it which makes connecting and computing much easier. this has led to realizing novel application paradigms such as crowd sensing and crowd computing. Crowd sensing relies on the sensing capabilities of the mobile devices as well as its communication efficiency to send collected sensed data to the cloud for further processing. On the other hand, mobile crowd computing is an amalgamation of the machine and human intelligence to achieve a given set of tasks in a distributed manner. thus, crowd computing utilizes the computation and communication capability of the devices. Here in our work, we have come up with a novel approach integrating these two paradigms in a framework that have addressed both the issues of mobile sensing and crowd computing at the same time and utilized the ability of the crowd to solve problems without involving cloud servers in the backend. We have implemented our framework using 4 smart handheld devices for a route-finding application. the devices are connected to each other through BLE (Bluetooth Low Energy) technology. the results obtained can he received both online (using the machine intelligence) and offline (using human intelligence) when no devices arc connected to the internet. the device hence receiving the information, in turn, can itself he a contributor in the crowd for other route-finding queries solicited by another user in the crowd.

关键词： Mobile crowd sensing crowd computing BLE initiator contributor

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TAPS: A Performance Evaluation Suite for Task-based Execution Frameworks 20

TAPS: A Performance Evaluation Suite for Task-based Executio...

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20th ieee international conference on E-Science (E-Science)

作者： Pauloski, J. Gregory Hayot-Sasson, Valerie Gonthier, Maxime Hudson, Nathaniel Pan, Haochen Zhou, Sicheng Foster, Ian Chard, Kyle Univ Chicago Dept Comp Sci Chicago IL 60637 USA Argonne Natl Lab Data Sci & Learning Div Lemont IL 60439 USA

ISBN: (纸本)9798350365627;9798350365610

Task-based execution frameworks, such as parallel programming libraries, computational workflow systems, and function-as-a-service platforms, enable the composition of distinct tasks into a single, unified application designed to achieve a computational goal and abstract the parallel and distributed execution of those tasks on arbitrary hardware. Research into these task executors has accelerated as computational sciences increasingly need to take advantage of parallel compute and/or heterogeneous hardware. However, the lack of evaluation standards makes it challenging to compare and contrast novel systems against existing implementations. Here, we introduce TAPS, the Task Performance Suite, to support continued research in distributed task executor frameworks. TAPS provides (1) a unified, modular interface for writing and evaluating applications using arbitrary execution frameworks and data management systems and (2) an initial set of reference synthetic and real-world science applications. We discuss how the design of TAPS supports the reliable evaluation of frameworks and demonstrate TAPS through a survey of benchmarks using the provided reference applications.

关键词： Performance Evaluation Parallel computing Open-Source Python Workflows

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Parallel performance of domain decomposition method on distributed computing environment

Parallel performance of domain decomposition method on distr...

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11th international conference on Computer and Information Technology, ICCIT 2008

作者： Mukaddes, A.M.M. Uragami, Atsushi Department of Industrial and Production Engineering Shahjalal University of Science and Technology Sylhet Bangladesh Department of Intelligent Machinery and Systems Kyushu University Japan

ISBN: (纸本)9781424421367

distributed parallel computing, which uses generalpurpose workstations connected by a network as a large parallel computing resource, is one of the most promising trends in parallel computing. Over the last two decades, the growth in the use of such parallel computing environment has ensured the interest on the parallel finite element method. In this work, parallel finite element method using domain decomposition technique has been adapted to the distributed parallel environment of networked workstations and the supercomputer. Using the developed code, several model problems are solved and the parallel performances are analyzed on the network of eight Pentium IV PC cluster and GP7000F workstations. Finally, very large size of problem over 11 million DOFs has been solved using 1024 SR8000 supercomputer. ©2008 ieee.

关键词： Supercomputers

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eScience Meets eBusiness: Blueprint for Next Generation Grid computing

eScience Meets eBusiness: Blueprint for Next Generation Grid...

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international conference on distributed computing systems

作者： H. Hayashi Fujitsu Laboratories Limited Japan

Summary form only given. Grid computing is increasingly being viewed as the next phase of distributed computing. Built on pervasive Internet standards, grid computing enables organizations to share computing and information resources across department and organizational boundaries in a secure, highly efficient manner. Grid computing originates in eScience and its early development was driven to a large extent by the requirements of large-scale computing and efficient sharing of huge datasets. eBusiness requirements led to the adoption of emerging Web services technologies - initially developed for distributed business application integration. therefore grid computing can be applied to enterprise computing within and across organizations and pave the way for utility computing. I present major Grid computing projects for both eScience and eBusiness in Japan (including NaReGI and Business Grid) and several key Grid products and applications (including CyberGRIP and Resource Coordinator both developed by Fujitsu). the Global Grid Forum (GGF) is leading the standardization of grid computing. In particular, GGF has developed the Open Grid Services Architecture (OGSA) and is working throughout the industry to champion this "architectural blueprint" and the associated specifications that will enable the pervasive adoption of grid computing for eBusiness and eScience worldwide

关键词： Grid computing distributed computing Internet Standards organizations Pervasive computing Information resources Large scale integration Web services Standardization Computer architecture

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Semantic reasoning framework to supervise and manage contexts and objects in pervasive computing environments

Semantic reasoning framework to supervise and manage context...

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25th ieee international conference on Advanced Information Networking and Applications Workshops, WAINA 2011

作者： Sabri, Lyazid Chibani, Abdelghani Amirat, Yacine Zarri, Gian-Piero LiSSi Lab. IUT Paul Armangot Vitry France

ISBN: (纸本)9780769543383

In spite of the fact that many of the proposed context awareness frameworks allow scalability and dynamic interaction with heterogeneous devices disseminated in the environment, very often they are not able to fully profit from the semantic technology to supervise and manage the environment. Indeed, using ontologies allows us to integrate information coming from heterogeneous sources and to share it easily. the most important challenge to face in this context is how the system can understand easily the behavior and context events handled by all the actors (person, robot, actuators, sensors... etc.) to take an adequate decision. the work presented here shows how the semantic reasoning framework used in the SEMbySEM European project, based on the use of a new semantic language (a "μConcept Knowledge Representation Language") built up on top of RDF(S) and of the corresponding "μConcept Rule Language may facilitate reasoning and acting upon heterogeneous context sources, allowing their 'intelligent' monitoring and management and their dynamic visualization. For the validation of the proposed concepts and models, a concrete scenario dedicated to the monitoring of elderly people in smart home has been proposed and implemented. © 2011 ieee.

关键词： Ontology

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