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检索条件"任意字段=9th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing"

共 590 条记录，以下是261-270 订阅

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Model-Driven Design of Cloud Applications with Quality-of-Service Guarantees: the MODAClouds Approach MICAS Tutorial 16

Model-Driven Design of Cloud Applications with Quality-of-Se...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： da Silva, Marcos Aurelio Almeida Ferry, Nicolas Ardagna, Danilo Perez, Juan F. Softeam Paris France SINTEF Trondheim Norway Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England

ISBN: (纸本)9781479984480

the competition between cloud providers has led to an impressive set of cloud solutions offered to consumers. the ability to properly design and deploy multi-cloud applications (i.e., applications deployed on multiple clouds) allows exploiting the peculiarities of each cloud solution and hence optimizing the performance and cost of the applications. However, this is hindered by the large heterogeneity of the existing cloud offerings. In this work, we present the model-driven methodology and tools developed within the MODAClouds European project to support the design of multi-cloud applications. In particular, the proposed framework promotes a model driven approach to help reducing vendor "lock-in", support multi-cloud deployments, and provide solutions for estimating and optimizing the performance of multi-cloud applications at design-time.

关键词： Model-Driven-Development Cloud computing Quality of Service Capacity Allocation Optimization

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Proceedings - 13th international symposium on symbolic and numeric algorithms for scientific computing, SYNASC 2011

Proceedings - 13th International Symposium on Symbolic and N...

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13th international symposium on symbolic and numeric algorithms for scientific computing, SYNASC 2011

ISBN: (纸本)9780769546308

the proceedings contain 56 papers. the topics discussed include: intelligent web-history based on a hybrid clustering algorithm for future-Internet systems;part of speech tagging for Romanian text-to-speech system;learning to unlearn in lattices of concepts: a case study in fluid construction grammars;a supervised learning process to elicit fraud cases in online auction sites;mapping a relational database into a RDF repository;a GIS integrated solution for traffic management;a reinforcement learning approach for solving the fragment assembly problem;towards extracting semantic information from texts;a genetic approximation of closest string via rank distance;and cellular genetic algorithm with communicating grids for a delivery problem.

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From the Desktop to the Multi-clouds: the case of ModelioSaaS

From the Desktop to the Multi-clouds: The case of ModelioSaa...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： da Silva, Marcos Aurelio Almeida Abherve, Antonin Sadovykh, Andrey SOFTEAM R&D Paris France

ISBN: (纸本)9781479930357

the advent of cloud computing is an opportunity to companies offering client-server services to migrate to a Software as a Service (SaaS) kind of business model. this kind of business model is based on having companies offering services on the cloud accessible by means of web interfaces and protocols. this comes in opposition to the traditional (client-server) model in which software packages need to be downloaded, installed and maintained directly by clients. therefore, the SaaS could allow the definition of high level services, removing the burden of configuring and managing servers from clients. In the point of view of the service providers, this transition is not easy. Concerns such as vendor neutral design, scalability, (self-)adaptation and monitoring of running applications need to be dealt with. the MODAClouds FP7 EU project proposes to deal with all these challenges and it is going to use ModelioSaaS as a use case. ModelioSaaS is a software as a service product to be offered by SOFTEAM by means of the migration of its existing client-server based products. the main contributions of this paper are therefore providing an account, from the industrial point of view, of the context surrounding this migration and the constraints it needs to comply to. these constraints will be presented in the form of functional and non-functional requirements along with their rationale. this paper presents our current view of the architecture of ModelioSaaS that will enable this move and the gaps that we intend to fill be means of the MODAClouds platform.

关键词： cloud computing migration legacy applications

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Supporting the Development and Operation of Multi-Cloud Applications: the MODAClouds Approach

Supporting the Development and Operation of Multi-Cloud Appl...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Di Nitto, Elisabetta da Silva, Marcos Aurelio Almeida Ardagna, Danilo Casale, Giuliano Craciun, Ciprian Dorin Ferry, Nicolas Muntes, Victor Solberg, Arnor Politecn Milan DEIB I-20133 Milan Italy SOFTEAM Paris France Univ London Imperial Coll Sci Technol & Med London England IEAT Timisoara Romania SINTEF Oslo Norway CA Barcelona Spain

ISBN: (纸本)9781479930357

Vendor lock-in and cloud outages are two important challenges that make IT managers reluctant in widely adopting the cloud within the enterprise. Vendor lock-in happens when the adoption of cloud provider-specific technologies and APIs forces consumers to stay with the same provider even if they would like to change. Cloud outages can happen to any provider, as the events of the last years have largely demonstrated, and have a critical impact on the actual reliability of cloud applications. A solution to both problems could be to support application developers and operators in the adoption of a multi-cloud approach: applications are built to run and replicate on different clouds, and mechanisms for fast switching from a cloud installation to the other are offered. In the MODA Clouds project we pursue this approach and rely on model-driven development combined with risk analysis and quality prediction. In this paper we provide an overview of our approach and present the architecture of the corresponding platform.

关键词： cloud computing multi-cloud applications model-driven design QoS analysis monitoring self-adaptation

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An Imperialistic Strategy Approach to Continuous Global Optimization Problem 16

An Imperialistic Strategy Approach to Continuous Global Opti...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Anescu, George Univ Politehn Bucuresti Power Plant Engn Fac Bucharest 060042 Romania

ISBN: (纸本)9781479984480

the paper is introducing the principles of a new global optimization strategy, Imperialistic Strategy (IS), applied to the Continuous Global Optimization Problem (CGOP). Inspired from existing multi-population strategies, like the Island Model (IM) approaches to parallel Evolutionary algorithms (EA) and the Imperialistic Competitive Algorithm (ICA), the proposed IS method is considered an optimization strategy for the reason that it can integrate other well-known optimization methods, which in the context are regarded as sub-methods (although in other contexts they are prominent global optimization methods). Four optimization methods were implemented and tested in the roles of sub-methods: Genetic Algorithm (GA) (a floating-point representation variant), Differential Evolution (DE), Quantum Particle Swarm Optimization (QPSO) and Artificial Bee Colony (ABC). the optimization performances of the proposed optimization methods were compared on a test bed of 9 known multimodal optimization problems by applying an appropriate testing methodology. the obtained increased success rates of IS multi-population variants compared to the success rates of the optimization sub-methods run separately, combined with the increased computing efficiencies possible to be perceived for parallel and distributed implementations, demonstrated that IS is a promising approach to CGOP.

关键词： genetic algorithms parallel algorithms quantum computing ABC CGOP DE EA GA ICA IM IS multipopulation variants QPSO artificial bee colony continuous global optimization problem differential evolution distributed implementations floating-point representation variant genetic algorithm imperialistic competitive algorithm imperialistic strategy approach island model multimodal optimization problems multipopulation strategies parallel evolutionary algorithms parallel implementations quantum particle swarm optimization Biological cells Genetic algorithms Linear programming Optimization Sociology Statistics Vectors Artificial Bee Colony Continuous Global Optimization Problem Differential Evolution Genetic Algorithm IS Imperialistic Competitive Algorithm Imperialistic Strategy Island Model Quantum Particle Swarm Optimization Genetic Algorithm (GA) MT activity based costing Independent component analysis islet cell antibody Instant messaging Particle swarm optimization Gallium cytology Sociology Parallel algorithms quantum computing Policies and plans bee colonies linear programming

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Reliable management of virtualized resources using fault trees 16

Reliable management of virtualized resources using fault tre...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Butoi, Alexandru Stan, Alexandru Silaghi, Gheorghe Cosmin Univ Babes Bolyai R-3400 Cluj Napoca Romania

ISBN: (纸本)9781479984480

the new trends in distributed computing has changed the way we do computing when talking about cloud infrastructures or high-performance computing. Resource virtualization technologies enabled elasticity of resource provisioning and management through easy replication of virtual nodes or virtual machine migration. In order to provide high availability and reliability in such distributed environments where resources are managed and served in form of virtual machines, specific load balancing and fault strategies are needed. Based on fault tree analysis concepts, we propose a distributed and autonomous approach to manage faults using fault agents able to asses and predict for each virtualized node, its state of fault or future fault. Accordingly, each node can take a decision about accepting future jobs, delegate jobs to own replicated instances or start a live migration process as a second strategy for assuring availability and continuity of the service.

关键词： cloud computing fault tolerant computing fault trees parallel processing resource allocation virtual machines virtualisation cloud infrastructures distributed computing fault agents fault tree analysis high-performance computing load balancing reliable virtualized resource management resource provisioning resource virtualization technologies virtual machine migration Cloud computing Computational modeling Fault tolerance Fault tolerant systems Fault trees Virtual machining Fault trees virtual machines Cloud computing Virtualization Fault tolerant systems Distributed computing Fault tolerant computing Fault tree analysis High Performance computing Load balancing Fault tolerance Computational modeling PARALLEL PROCESSING (COMPUTERS) Resource utilization virtual machining

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Application Deployment and Management in the Cloud 16

Application Deployment and Management in the Cloud

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Miglierina, Marco Politecn Milan DEIB Milan Italy

ISBN: (纸本)9781479984480

Cloud computing is a revolutionary paradigm that allows to acquire infinite resources on demand and pay only for the actual use. Together with novel software development methodologies, such as Agile and DevOps, the cloud can really help companies in responding to market demand for continuous delivering innovative services, enabling the shift from a silo based release process, where customers, developers and system administrators are almost conflicting among each other, to a unified process, where the shared final objective is that of making the product available to the user. there are two main challenges that have to be faced when approaching the cloud. First of all, the heterogeneity of the offer. More and more cloud services are growing from different providers with no standard yet defined, driving companies towards the lock-in problem. Second, having the possibility to scale from 10s to 1000s of machines implies huge effort in IT management without smart automation systems. this paper is an attempt to review some of the tools among the currently available ones that may help companies simplifying their application release process.

关键词： cloud computing Agile DevOps IT management application deployment application management application release process cloud services continuous delivering innovative services market demand revolutionary paradigm shared final objective silo based release process system administrators Automation Companies Containers Software Standards Virtual machining devops Cloud computing system administrator Companies virtual machines computer software CONTAINERS Automation virtual machining CLOUDS Clouds APPLICATION MANAGEMENT

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Performance Improvements for the "Linear Nonadiabatic Nonradial Waves" Pulsational Model 16

Performance Improvements for the "Linear Nonadiabatic Nonrad...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Tirsa, Mihai Ovidiu Slusanschi, Emil-Ioan Suran, Marian Doru Univ Politech Bucharest Fac Automat Control & Comp Sci Bucharest 060042 Romania Acad Romana Astron Inst Bucharest 040557 Romania

ISBN: (纸本)9781479984480

Asteroseismology is an emerging branch of astrophysics that studies the interior and global parameters of pulsating stars, based on their natural oscillation frequency. this work proposes different methods for increasing the performance of LNAWENR (Linear NonAdiabatic NonRadial WavEs), a computational intensive pulsational model that studies stars based on their seismic properties. As part of the asteroseismological package ROMOSC, LNAWENR is one of the several non-adiabatic models in use now by the international astrophysics and space science community. the model was implemented to study data from NASA's CoRoT mission. the improved version aims to be used for NASA's KEPLER mission. In this context, we employed several serial and parallel code optimizations. the programming frameworks used for the parallel optimizations are OpenMP and OpenCL.

关键词： astronomical techniques astronomy computing open systems parallel programming stellar pulsations LNAWENR NASA CoRoT mission NASA KEPLER mission asteroseismological package ROMOSC asteroseismology astrophysics international astrophysics linear nonadiabatic nonradial wave pulsational model natural oscillation frequency parallel code optimizations parallel optimizations programming frameworks pulsating stars seismic properties space science community Arrays Computational modeling Equations Mathematical model Optimization Oscillators Software Asteroseismology Open CL Open MP parallelization performance optimization asteroseismology Seismic properties Astrophysics stellar pulsations Parallel programming Computational modeling Oscillators parallelization open systems oscillation frequency Mathematical Model nonradial computer software

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Evaluating Weighted Round Robin Load Balancing for Cloud Web Services 16

Evaluating Weighted Round Robin Load Balancing for Cloud Web...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Wang, Weikun Casale, Giuliano Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England

ISBN: (纸本)9781479984480

Weighted round robin load balancing is a common routing policy offered in cloud load balancers. However, there is a lack of effective mechanisms to decide the weights assigned to each server to achieve an overall optimal revenue of the system. In this paper, we first experimentally explore the relation between probabilistic routing and weighted round robin load balancing policies. From the experiment a similar behavior is found between these two policies, which makes it possible to assign the weights according to the routing probability estimated from queueing theoretic heuristic and optimization algorithms studied in the literature. We focus in particular on algorithms based on closed queueing networks for multi-class workloads, which can be used to describe application with service level agreements differentiated across users. We also compare the efficiency of queueing theoretic methods with simple heuristics that do not require to specify a stochastic model of the application. Results indicate that queueing theoretical algorithms yield significantly better results than than routings proportional to the VM capacity with respect to throughput maximization.

关键词： Web services cloud computing contracts resource allocation VM capacity closed queueing networks cloud Web services cloud load balancers multiclass workloads optimal revenue optimization algorithms probabilistic routing policy queueing theoretic heuristic queueing theoretic methods routing probability service level agreements stochastic model throughput maximization weighted round robin load balancing policies Heuristic algorithms Load management Monitoring Optimization Round robin Routing Servers Round robin Service level agreements Optimization algorithms Servers Web Service Stochastic models load management Network routing Heuristic algorithms Queueing networks Cloud computing contract Resource utilization Load balancing

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Optimised hybrid parallelisation of a CFD code on Many Core architectures

Optimised hybrid parallelisation of a CFD code on Many Core ...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Jackson, Adrian Campobasso, M. Sergio Univ Edinburgh EPCC Edinburgh EH9 3JZ Midlothian Scotland Univ Lancaster Dept Engn Lancaster LA1 4YR England

ISBN: (纸本)9781479930357

Reliable aerodynamic and aeroelastic design of wind turbines, aircraft wings and turbomachinery blades increasingly relies on the use of high-fidelity Navier-Stokes Computational Fluid Dynamics codes to predict the strongly nonlinear periodic flows associated with structural vibrations and periodically varying farfield boundary conditions. On a single computer core, the harmonic balance solution of the Navier-Stokes equations has been shown to significantly reduce the analysis runtime with respect to the conventional time-domain approach. the problem size of realistic simulations, however, requires high-performance computing. the Computational Fluid Dynamics COSA code features a novel harmonic balance Navier-Stokes solver which has been previously parallelised using both a pure MPI implementation and a hybrid MPI/OpenMP implementation. this paper presents the recently completed optimisation of both parallelisations. the achieved performance improvements of both parallelisations highlight the effectiveness of the adopted parallel optimisation strategies. Moreover, a comparative analysis of the optimal performance of these two architectures in terms of runtime and power consumption using some of the current common HPC architectures highlights the reduction of both aspects achievable by using the hybrid parallelisation with emerging many-core architectures.

关键词： core construction ARCHITECTURE computational fluid dynamics Runtime Codes Harmonic balance method Wind Energy Conversion Systems optimum performance Navier-Stokes equations HYBRID Hybrid electric vehicles Power consumption TURBINE BLADE

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