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distributed monitoring and management of exascale systems in the Argo project 15

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15th IFIP WG 6.1 international conference on distributed applications and Interoperable Systems, DAIS 2015 Held as Part of the 10th international Federated conference on distributed computing Techniques, DisCoTec 2015

作者： Perarnau, Swann thakur, Rajeev Iskra, Kamil Raffenetti, Ken Cappello, Franck Gupta, Rinku Beckman, Pete Snir, Marc Hoffmann, Henry Schulz, Martin Rountree, Barry Argonne National Laboratory LemontIL60439 United States University of Chicago ChicagoIL60637 United States Lawrence Livermore National Laboratory LivermoreCA94550 United States

ISBN: (纸本)9783319191287

New computing technologies are expected to change the high-performance computing landscape dramatically. Future exascale systems will comprise hundreds of thousands of compute nodes linked by complex networks—resources that need to be actively monitored and controlled, at a scale difficult to manage from a central point as in previous systems. In this context, we describe here on-going work in the Argo exascale software stack project to develop a distributed collection of services working together to track scientific applications across nodes, control the power budget of the system, and respond to eventual failures. Our solution leverages the idea of enclaves: a hierarchy of logical partitions of the system, representing groups of nodes sharing a common configuration, created to encapsulate user jobs as well as by the user inside its own job. these enclaves provide a second (and greater) level of control over portions of the system, can be tuned to manage specific scenarios, and have dedicated resources to do so. © IFIP international Federation for Information Processing 2015.

关键词： Complex networks

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Context-Aware Provisioning and Management of Cloud applications

Context-Aware Provisioning and Management of Cloud Applicati...

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4th international conference on Cloud computing and Services Sciences (CLOSER)

作者： Breitenbuecher, Uwe Binz, Tobias Kopp, Oliver Leymann, Frank Wieland, Matthias Univ Stuttgart Inst Architecture Applicat Syst D-70174 Stuttgart Germany Univ Stuttgart Inst Parallel & Distributed Syst D-70174 Stuttgart Germany

ISBN: (纸本)9783319254142;9783319254135

the automation of application provisioning and management is one of the most important issues in Cloud computing. However, the steadily increasing number of different services and software components employed in composite Cloud applications leads to a high risk of unintended side effects when different technologies work together that bring their own proprietary management APIs. Due to unknown dependencies and the increasing diversity and heterogeneity of employed technologies, even small management tasks on a single component may compromise the whole application functionality for reasons that are neither expected nor obvious to non-experts. In this paper, we tackle these issues by introducing a method that enables detecting and correcting unintended effects of provisioning and management tasks in advance by analyzing the context in which the tasks are executed. We validate the method practically and show how context-aware expert management knowledge can be applied fully automatically to provision and manage running Cloud applications.

关键词： Application management Provisioning Context Automation Cloud computing

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Two Class Fisher's Linear Discriminant Analysis Using MapReduce 17

Two Class Fisher's Linear Discriminant Analysis Using MapRed...

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17th IEEE UKSim-AMSS international conference on Computer Modelling and Simulation (UKSim)

作者： Anchalia, Prajesh P. Roy, Kaushik Roy, Kunal RV Coll Engn Dept CSE Bangalore Karnataka India Global Acad Technol Dept CSE Bangalore Karnataka India

ISBN: (纸本)9781479987122

Information explosion propelled by the exponential growth in digitised data is an unstoppable reality. To be able to extract relevant and useful knowledge from this voluminous data in order to make well-informed decision is a competitive advantage in the information age. However, the attempts to transform raw data into valuable knowledge face both data and computational intensive challenges. As a result, parallel and distributed computing is often strongly sought after to alleviate these challenges. While there are many distributed computing technologies being proposed over the years, MapReduce has gained an immense amount of interest in recent years due to its simplicity and superb scalability at low cost. In this paper we implement the fisher linear discriminant technique to reduce dimensionality and remove the so-called "noisy" data values from a given data set and project the data values in the direction of largest variance. Few of Fisher linear discriminant analysis' applications are Life Sciences, Face Recognition, Music and Speech classification. We implement the Fisher Linear Discriminant on a distributed computing environment and we conclude that it outperforms the sequential implementation.

关键词： MapReduce Fisher's Linear Discriminant Data Mining Hadoop distributed computing

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parallel and distributed computing, applications and technologies, PDCAT Proceedings

Parallel and Distributed Computing, Applications and Technol...

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15th international conference on parallel and distributed computing, applications and technologies, PDCAT 2014

ISBN: (纸本)9781479983346

the proceedings contain 30 papers. the topics discussed include: benchmarking and analysis of variations of work stealing scheduler on clustered system;conflict-free code block scheduling to hide SpMT inter-core register sync delay;dealing with skewed data in structured overlays using variable hash functions;distributive interoperable executive library (DIEL) for systems of multiphysics simulation;on the shallow-light Steiner tree problem;fast ICA on modern GPU architectures;fault-tolerant routing based on improved safety levels in pancake graphs;improve LLC bypassing performance by memory controller improvements in heterogeneous multicore system;comparison of binding approaches of scheduled multiphase application onto linear multicore architecture;Using rCUDA to reduce GPU resource-assignment fragmentation caused by job scheduler;practical anonymization for protecting privacy in combinatorial maps;and prediction of spatial and temporal data: a web tool based on georeferenced resources.

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Synthesis of hardware components for vertical-group parallel neural networks 10

Synthesis of hardware components for vertical-group parallel...

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10th international conference on Computer Sciences and Information technologies, CSIT 2015

作者： Tsmots, Ivan Medykovskyy, Mykola Skorokhoda, Oleksa Lviv Polytechnic National University S. Bandery Str. 12 Lviv79013 Ukraine

ISBN: (纸本)9786176078159

the model and structure of formal neuron with vertical-group multiplexing of data bus have been developed, which provides coordination of data flow intensity with computing ability of neural element by changing bit-width of channel and number of digits in a group of factors that simultaneously analyzed for the formation of partial products. the main stages and methods of synthesis of parallel vertical neuro element of group type with high efficiency of equipment use have been reviewed. © 2015 Lviv Polytechnic National University.

关键词： Efficiency

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A New distributed Strategy to Schedule computing Resource 5

A New Distributed Strategy to Schedule Computing Resource

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5th international conference on Cloud computing (CloudComp)

作者： Wang, Qi Deng, Pan Yang, Qinghong Yuan, Wei Nie, Yaolong Bi, Chaofan Chao, Han-Chieh Beihang Univ Dept Software 35 Northern Shining Tower10th Floor Beijing 100191 Peoples R China Chinese Acad Sci Inst Software Beijing 100190 Peoples R China Natl Ilan Univ Inst Comp Sci & Informat Hualien Taiwan Natl Ilan Univ Dept Elect Engn Hualien Taiwan Natl Dong Hwa Univ Dept Elect Engn Hualien 97401 Taiwan

ISBN: (纸本)9783319160504;9783319160498

distributed scheduling strategy for computing resource (DSSCR) talks about a wide range of knowledge, such as distributed parallel computing, resource scheduling, heartbeat monitoring and data security. When people deal with a large number of concurrent computing tasks, designing a reasonable, efficient, safe scheduling system becomes important, it needs not only to execute safely, reduce the pressure on the server, but also improve the efficiency of task execution and correct results return. So the focus of this paper is to propose a DCRSS to solve the above problems. Nine categories of test cases are designed to assess its efficiency. there are 355 tests are executed, the success rate is over 90 %, saving 60 % time.

关键词： distributed scheduling computing resource parallel computing Video analysis task

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10th international conference on Bio-Inspired computing: theories and applications, BIC-TA 2015

10th International Conference on Bio-Inspired Computing: The...

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10th international conference on Bio-Inspired computing – theories and applications, BIC-TA 2015

ISBN: (纸本)9783662490136

the proceedings contain 63 papers. the special focus in this conference is on Bio-Inspired computing theories and applications. the topics include: PSO optimized multipurpose image watermarking using SVD and chaotic sequence;cell-like fuzzy P system and its application of coordination control in micro-grid;resource allocation algorithm based on fuzzy cluster grouping for device-to-device communication;non-time synchronization and localization based on seawater movement;ant colony optimization with different crossover schemes for continuous optimization;multi-objective optimal operation of cascaded hydropower stations based on MOPSO with bacteria quorum sensing inspired turbulence mechanism;versatile archimedean tilings self-assembled from combined symmetric DNA motifs;a parallel version of differential evolution based on resilient distributed datasets model;MOEA/D for energy-aware scheduling on heterogeneous computing systems;parameter identification for area-specific resistance of direct methanol fuel cell using cuckoo search algorithm;a system for abnormal messages detection oriented microblog message stream;improved genetic algorithm to optimization pattern in traffic network layout problem;an algorithm for finding non-dominated set based on two-dimension sorting;cloud avoidance scheduling algorithm for agile optical satellites;design swapping encryption system for video streaming with brain storm optimization;an evolutionary approach to generate rhythm and melody based on repertories;parallel implementation of P systems for data clustering on GPU;a new BN structure learning mechanism based on decomposability of scoring functions and identification of remote sensing image of adverse geological body based on classification.

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X-Ray: Monitoring and analysis of distributed database queries 15

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作者： Guimarães, Pedro Pereira, José INESC TEC and U. Minho Guimaraes Portugal

ISBN: (纸本)9783319191287

the integration of multiple database technologies, including both SQL and NoSQL, allows using the best tool for each aspect of a complex problem and is increasingly sought in practice. Unfortunately, this makes it difficult for database developers and administrators to obtain a clear view of the resulting composite data processing paths, as they combine operations chosen by different query optimisers, implemented by different software packages, and partitioned across distributed systems. this work addresses this challenge with the X-Ray framework, that allows monitoring code to be added to a Java-based distributed system by manipulating its bytecode at runtime. the resulting information is collected in a NoSQL database and then processed to visualise data processing paths as required for optimising integrated database systems. this proposal is demonstrated with a distributed query over a federation of Apache Derby database servers and its performance evaluated with the standard TPC-C benchmark workload. © IFIP international Federation for Information Processing 2015.

关键词： Java programming language

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Research on Virtual Simulation of Flood Propagation in Agricultural Area Under the Land Subsidence

Research on Virtual Simulation of Flood Propagation in Agric...

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the 10th international conference on Computer and computing technologies in Agriculture (CCTA 2016)

作者： Ping Yu Shaofei Li Xu Wang College of Water Conservancy Engineering Tianjin Agricultural University

Agricultural areas are mainly distributed in the suburbs, however suburs of metropolis are often used as flood storage and detention areas in order to ensure the safety of urban from flood. Severe land subsidence would make a decrease use of flood control facilities like dike and sluice which protect the agricultural areas, and there are important significance to analyze the flood control in agricultural areas affected by double natural disasters. In this paper,the land subsidence observations and sedimentation rate over recent 20 years in Dahuangbao agricultural areas are the object of study, and the flood routing mathematical model is established using the alternating direction implicit method(ADI) with high stability and precision. the results reveal that after comparing the flood values with different return periods between before and after land subsidence, the inundated area and capacity after land subsidence increases, which directly affects the safety of agricultural areas.

关键词： Land subsidence Agricultural areas Detention basins Flood routing Alternating direction implicit method

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Shortest-Path Queries in Planar Graphs on GPU-Accelerated Architectures 10th

Shortest-Path Queries in Planar Graphs on GPU-Accelerated Ar...

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10th international conference on Large-Scale Scientific Computations (LSSC)

作者： Chapuis, Guillaume Djidjev, Hristo Los Alamos Natl Lab POB 1663 Los Alamos NM 87545 USA

ISBN: (纸本)9783319265209;9783319265193

We develop an efficient parallel algorithm for answering shortest-path queries in planar graphs and implement it on a multi-node CPU-GPU clusters. the algorithm uses a divide-and-conquer approach for decomposing the input graph into small and roughly equal subgraphs and constructs a distributed data structure containing shortest distances within each of those subgraphs and between their boundary vertices. For a planar graph with n vertices, that data structure needs O(n) storage per processor and allows queries to be answered in O(n(1/4)) time.

关键词： Shortest path problems Graph algorithms distributed computing GPU computing Graph partitioning

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