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IEEE Symposium on computers and Communication

作者： Guilherme da Cunha Rodrigues Rodrigo N. Calheiros Marcio Barbosa de Carvalho Carlos Raniery Paula dos Santos Lisandro Zambenedetti Granville Liane Tarouco Rajkumar Buyya Computer Networks Group Institute of Informatics Federal University of Rio Grande do Sul Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computing and Information Systems The University of Melbourne Department of Applied Computing Federal University of Santa Maria

ISBN: (纸本)9781467371957

Cloud computing is a groundbreaking solution to acquire computational resources on demand. To deliver high quality cloud services and provide features such as reduced costs and availability to customers, a cloud, like any other computational system, needs to be properly managed in accordance with its characteristics (e.g., scalability, elasticity, timeliness). In this scenario, cloud monitoring is a key to achieve it. To properly work, cloud monitoring systems need to meet several requirements such as scalability, accuracy, and timeliness. This paper aims to unveil the trade-off between timeliness and scalability. Evaluations demonstrate the mutual influence between scalability and timeliness based on monitoring parameters (e.g., monitoring topologies, frequency sampling). Results show that non-deep monitoring topologies and decreasing the frequency sampling assist to reduce the mutual influence between timeliness and scalability.

关键词： Scalability CLOUDS Clouds monitoring systems Monitoring parameters Cloud Computing

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Towards a Multi-objective VM Reassignment for Large Decentralised Data Centres 15

Towards a Multi-objective VM Reassignment for Large Decentra...

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IEEE International Conference on Utility and Cloud Computing (UCC)

作者： Takfarinas Saber Anthony Ventresque Ivona Brandic James Thorburn Liam Murphy University College School of Computer Science and Informatics Dublin Ireland IBM Research Damastown Industrial Estate Dublin Ireland Institute of Information Systems Vienna University of Technology Vienna Austria IBM Software Group Toronto Canada

ISBN: (纸本)9780769556970

Optimising the IT infrastructure of large, often geographically distributed, organisations goes beyond the classical virtual machine reassignment problem, for two reasons: (i) the data centres of these organisations are composed of a number of hosting departments which have different preferences on what to host and where to host it, (ii) the top-level managers in these data centres make complex decisions and need to manipulate possible solutions favouring different objectives to find the right balance. This challenge has not yet been comprehensively addressed in the literature and in this paper we demonstrate that a multi-objective VM reassignment is feasible for large decentralised data centres. We show on a realistic data set that our solution outperforms other classical multi-objective algorithms for VM reassignment in terms of quantity of solutions (by about 15% on average) and quality of the solutions set (by over 6% on average).

关键词： Optimization Reliability Servers Electronic mail Virtual machining Companies Cloud computing

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Designing Efficient Elliptic Curve Diffie-Hellman Accelerators for Embedded systems

Designing Efficient Elliptic Curve Diffie-Hellman Accelerato...

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IEEE International Symposium on Circuits and systems

作者： Apostolos P. Fournaris Ioannis Zafeirakis Christos Koulamas Nicolas Sklavos Odysseas Koufopavlou Industrial Systems Institute (ISI) / R.C."ATHENA" Patras Science Park Platani Patra Greece Electrical and Computer Engineering Department University of Patras Rion Campus Patra Greece KNOSSOSnet Research Group Computer Informatics Engineering Department Technological Educational Institute of Western Greece Antirion Patra Greece

ISBN: (纸本)9781479983926

In this paper, a methodology towards a hardware/software implementation of an Elliptic Curve Diffie Hellman (ECDH) scheme is proposed in an effort to overcome the design problems of Elliptic Curve Cryptography (ECC) systems stemming from the highly constrained embedded system hardware and software environment (restricted RAM, storage and processing power). To achieve that, instead of the excessively slow software ECDH implementations or monolithic, not flexible hardware implementations, we propose the use of a flexible, scalar multiplication (SM) accelerator connected to the main embedded system processor in order to speed up ECDH functionality without downgrading the overall main processor performance. The proposed solution can be used for a wide variety of GF(2~k) based Elliptic Curves (EC) and is capable of shifting from one EC to another EC at runtime (flexibility). The proposed architecture was implemented and tested in Xilinx Virtex 5 technology by realizing the proposed SM accelerator unit interconnected with a Xilinx microblaze softcore processor.

关键词： Embedded systems Elliptic curves design problems Accelerators Curves PROCESSOR host processor Processor Performance

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Sustainable computational science: The ReScience initiative

arXiv

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arXiv 2017年

作者： Rougier, Nicolas P. Hinsen, Konrad Alexandre, Frédéric Arildsen, Thomas Barba, Lorena Benureau, Fabien C.Y. Titus Brown, C. de Buyl, Pierre Caglayan, Ozan Davison, Andrew P. Delsuc, Marc André Detorakis, Georgios Diem, Alexandra K. Drix, Damien Enel, Pierre Girard, Benoît Guest, Olivia Hall, Matt G. Henriques, Rafael Neto Hinaut, Xavier Jaron, Kamil S. Khamassi, Mehdi Klein, Almar Manninen, Tiina Marchesi, Pietro McGlinn, Dan Metzner, Christoph Petchey, Owen L. Plesser, Hans Ekkehard Poisot, Timothée Ram, Karthik Ram, Yoav Roesch, Etienne Rossant, Cyrille Rostami, Vahid Shifman, Aaron Stimberg, Marcel Stachelek, Joseph Stollmeier, Frank Vaggi, Federico Viejo, Guillaume Vitay, Julien Vostinar, Anya Yurchak, Roman Zito, Tiziano INRIA Bordeaux Sud-Ouest Talence France Institut des Maladies Neurodégénératives Université de Bordeaux CNRS UMR 5293 Bordeaux France LaBRI Université de Bordeaux Bordeaux INP CNRS UMR 5800 Talence France Centre de Biophysique Moléculaire CNRS UPR4301 Orléans France Synchrotron SOLEIL Division Expériences Gif sur Yvette France Department of Electronic Systems Technical Faculty of IT and Design Aalborg University Denmark Department of Mechanical and Aerospace Engineering George Washington University WashingtonDC United States Department of Population Health and Reproduction University of California Davis DavisCA United States Instituut voor Theoretische Fysica KU Leuven Belgium Le Mans France Unité de Neurosciences Information et Complexité CNRS FRE 3693 Gif sur Yvette France Institut de Génétique et de Biologie Moléculaire et Cellulaire INSERM U964 CNRS UMR 7104 Université de Strasbourg Illkirch France Department of Cognitive Sciences University of California Irvine United States Computational Engineering and Design Faculty of Engineering and the Environment University of Southampton United Kingdom Department of Computer Science Humboldt-Universität zu Berlin Friedman Brain Institute Icahn School of Medicine Mount SinaiNY United States Institut des Systèmes Intelligent et de Robotique Sorbonne Universités UPMC Univ Paris 06 CNRS Paris France Experimental Psychology University College London United Kingdom UCL Great Ormond St Institute of Child Health University College London London United Kingdom MRC Cognition and Brain Sciences Unit Cambridge United Kingdom Department of Ecology and Evolution University of Lausanne Lausanne Switzerland Independent scholar Enschede Netherlands BioMediTech Institute and Faculty of Biomedical Sciences and Engineering Tampere University of Technology Tampere Finland Swammerdam Institute for Life Sciences Center for Neuroscience Faculty of Science University of Amsterdam Amsterdam Netherlands Depart

computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true. Jonathan Buckheit and David Donoho proposed more than two decades ago that an article about computational results is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produced the result. This implies new workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested, hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests. Copyright © 2017, The Authors. All rights reserved.

关键词： Open source software

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Analytical-Based High-Level Simulation of the Microthreaded Many-Core architectures

Analytical-Based High-Level Simulation of the Microthreaded ...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Irfan Uddin Raphael Poss Chris Jesshope Computer Systems Architecture group Institute for Informatics University of Amsterdam Amsterdam The Netherlands

High-level simulation is becoming commonly used for design space exploration of many-core systems. We have been working on high-level simulation techniques for the microthreaded many-core architecture at the University of Amsterdam. In previous work different levels of high-level simulation for instruction execution have been proposed, where the objective of every level is to keep the highest possible abstraction in order to achieve the least complexity and highest simulation speed with a compromise on the amount of accuracy. In this article we propose a new breakthrough in abstraction by simulating entire components in applications using analytical models. This simulation technique greatly reduces the complexity of the simulator and increases the simulation speed by orders of magnitude compared to the other levels of the high-level simulator, without affecting the simulation accuracy.

关键词： computer architecture Computational modeling Analytical models Throughput Concurrent computing Microgrids Load modeling

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Let me grab this: A comparison of EMS and vibration for haptic feedback in free-hand interaction 14

Let me grab this: A comparison of EMS and vibration for hapt...

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5th Augmented Human International Conference, AH 2014

作者： Pfeiffer, Max Schneegass, Stefan Alt, Florian Rohs, Michael Human-Computer Interaction Group Leibniz University Hannover Germany Institute for Visualization and Interactive Systems University of Stuttgart Germany Media Informatics Group University of Munich Germany

ISBN: (纸本)9781450327619

Free-hand interaction with large displays is getting more common, for example in public settings and exertion games. Adding haptic feedback offers the potential for more realistic and immersive experiences. While vibrotactile feedback is well known, electrical muscle stimulation (EMS) has not yet been explored in free-hand interaction with large displays. EMS offers a wide range of different strengths and qualities of haptic feedback. In this paper we first systematically investigate the design space for haptic feedback. Second, we experimentally explore differences between strengths of EMS and vibrotactile feedback. Third, based on the results, we evaluate EMS and vibrotactile feedback with regard to different virtual objects (soft, hard) and interaction with different gestures (touch, grasp, punch) in front of a large display. The results provide a basis for the design of haptic feedback that is appropriate for the given type of interaction and the material.

关键词： Muscle

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Reports of the AAAI 2014 conference workshops

Reports of the AAAI 2014 conference workshops

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作者： Albrecht, Stefano V. Barreto, André M. S. Braziunas, Darius Buckeridge, David L. Cuayáhuitl, Heriberto Dethlefs, Nina Endres, Markus Farahmand, Amir-Massoud Fox, Mark Frommberger, Lutz Ganzfried, Sam Guillet, Sébastien Gil, Yolanda Hunter, Lawrence E. Jhala, Arnav Kersting, Kristian Konidaris, George Lecue, Freddy McIlraith, Sheila Natarajan, Sriraam Noorian, Zeinab Poole, David Ronfard, Rémi Saffiotti, Alessandro Shaban-Nejad, Arash Srivastava, Biplav Tesauro, Gerald Uceda-Sosa, Rosario Van Den Broeck, Guy Van Otterlo, Martijn Wallace, Byron C. Weng, Paul Wiens, Jenna Zhang, Jie School of Informatics University of Edinburgh United Kingdom Department of Applied and Computational Mathematics Brazilian National Laboratory Brazil Big Data Group Kobo Inc. Brazil Department of Epidemiology and Biostatistics McGill University Canada School of Mathematical and Computer Sciences Heriot-Watt University in Edinburgh United Kingdom University of Augsburg Germany Carnegie Mellon University United States University of Toronto Canada Cognitive Systems Group University of Bremen Germany LIARA UQAC Chicoutimi Canada Information Sciences Institute University of Southern California Computer Science Department United States Center for Computational Pharmacology University of Colorado School of Medicine United States Department of Computational Media University of California Santa Cruz United States Computer Science Department Technical University of Dortmund Germany MIT Computer Science and Artificial Intelligence Laboratory CambridgeMA United States IBM Research - Smarter Cities Technology Centre Dubline Ireland School of Informatics and Computing Indiana University United States Department of Computer Science University of Saskatchewan Canada University of British Columbia Canada INRIA University of Grenoble France Orebro University Sweden McGill Clinical and Health Informatics Group McGill University Canada IBM Research United States Cognitive Computing Department IBM Research Yorktown HeightsNY United States Computer Science Department Katholieke Universiteit Leuven Belgium Cognitive Artificial Intelligence Department Radboud University Nijmegen Netherlands University of Texas Austin United States Pierre and Marie Curie University Paris France University of Michigan United States School of Computer Engineering Nanyang Technological University Singapore

The AAAI-14 Workshop program was held Sunday and Monday, July 27-28, 2014, at the Québec City Convention Centre in Québec, Canada. The AAAI-14 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Artificial Intelligence and Robotics;Artificial Intelligence Applied to Assistive Technologies and Smart Environments;Cognitive Computing for Augmented Human Intelligence;computer Poker and Imperfect Information;Discovery informatics;Incentives and Trust in Electronic Communities;Intelligent Cinematography and Editing;Machine Learning for Interactive systems: Bridging the Gap Between Perception, Action, and Communication;Modern Artificial Intelligence for Health Analytics;Multiagent Interaction Without Prior Coordination;Multidisciplinary Workshop on Advances in Preference Handling;Semantic Cities - Beyond Open Data to Models, Standards, and Reasoning;Sequential Decision Making with Big Data;Statistical Relational AI;and the World Wide Web and Public Health Intelligence. This article presents short summaries of those events. © 2015, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Decision making

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Cloudflow - A framework for MapReduce pipeline development in Biomedical Research

Cloudflow - A framework for MapReduce pipeline development i...

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Proceedings of the International Convention MIPRO

作者： Lukas Forer Enis Afgan Hansi Weißensteiner Davor Davidović Günther Specht Florian Kronenberg Sebastian Schönherr Institute of Computer Science Research Group Databases and Information Systems Innsbruck Austria Division of Genetic Epidemiology Medical University of Innsbruck Innsbruck Austria Center for Informatics and Computing Ruder Bođšković Institute Zagreb Croatia Department of Biology Johns Hopkins University Baltimore MD USA Division of Genetic Epidemiology Medical University of Innsbruck Austria

The data-driven parallelization framework Hadoop MapReduce allows analysing large data sets in a scalable way. Since the development of MapReduce programs can be a time-intensive and challenging task, the application and usage of Hadoop in Biomedical Research is still limited. Here we present Cloudflow, a high-level framework to hide the implementation details of Hadoop and to provide a set of building blocks to create biomedical pipelines in a more intuitive way. We demonstrate the benefit of Cloudflow on three different genetic use cases. It will be shown how the framework can be combined with the Hadoop workflow system Cloudgene and the cloud orchestration platform CloudMan to provide Hadoop pipelines as a service to everyone.

关键词： Pipelines Information filters Genomics Pipeline processing Bioinformatics

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An interdisciplinary approach to autonomous team-based exploration in disaster scenarios 12

An interdisciplinary approach to autonomous team-based explo...

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12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014

作者： Gernert, Björn Schildt, Sebastian Wolf, Lars Zeise, Björn Fritsche, Paul Wagner, Bernardo Fiosins, Maksims Manesh, Ramin Safar Müller, Jörg P. Institute of Operating Systems and Computer Networks Technische Universität Braunschweig Braunschweig Germany Institute of Systems Engineering Real Time Systems Group Leibniz Universität Hannover Hannover Germany Institute of Informatics Technische Universität Clausthal Clausthal Germany

ISBN: (纸本)9781479941995

Autonomous robots can be used to perform reconnaissance missions in disaster scenarios when the safety of humans cannot be guaranteed. We developed an interdisciplinary approach to autonomous team-based exploration in such settings. The introduced system architecture consists of robust communication and reactive task allocation, built upon a research robot platform. A team of robots autonomously executes exploration tasks deploying a long-term sensor network. All robots and sensors are linked through the so-called distributed common information model (dCIM), which is the global knowledge base of our system. It enables the robots to share a unified environment model and to perform dynamic task scheduling. All key softand hardware elements presented in this paper have been prototypically implemented and tested. © 2014 IEEE.

关键词： Robots

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