Search results for " CLUSTER"

showing 10 items of 2162 documents

PTNet: An efficient and green data center network

2017

International audience; In recent years, data centers have witnessed an exponential growth for hosting hundreds of thousands of servers as well as to accommodating a very large demand for resources. To fulfill the required level of demand, some approaches tackled network aspects so to host a huge number of servers while others focused on delivering rapid services to the clients by minimizing the path length between any two servers. In general, network devices are often designed to achieve 1:1 oversubscription. Alternatively, in a realistic data center environment, the average utilization of a network could vary between 5% and 25%, and thus the energy consumed by idle devices is wasted. This…

[ INFO ] Computer Science [cs]Computer Networks and CommunicationsComputer scienceDistributed computing02 engineering and technologyNetwork topology[ INFO.INFO-AO ] Computer Science [cs]/Computer ArithmeticTheoretical Computer Science03 medical and health sciences[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0302 clinical medicineArtificial IntelligenceRobustness (computer science)Energy savingServerArchitecture0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]ComputingMilieux_MISCELLANEOUSAverage path lengthInterconnectionNetwork topologyEnergy[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-AO]Computer Science [cs]/Computer ArithmeticScalability020206 networking & telecommunicationsData center networkAverage path lengthNetworking hardware[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Hardware and Architecture030220 oncology & carcinogenesis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]ScalabilityData center[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessSoftwareComputer network
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Extending CSG with projections: Towards formally certified geometric modeling

2015

We extend traditional Constructive Solid Geometry (CSG) trees to support the projection operator. Existing algorithms in the literature prove various topological properties of CSG sets. Our extension readily allows these algorithms to work on a greater variety of sets, in particular parametric sets, which are extensively used in CAD/CAM systems. Constructive Solid Geometry allows for algebraic representation which makes it easy for certification tools to apply. A geometric primitive may be defined in terms of a characteristic function, which can be seen as the zero-set of a corresponding system along with inequality constraints. To handle projections, we exploit the Disjunctive Normal Form,…

[ INFO ] Computer Science [cs]Disjoint setsDisjunctive normal formIndustrial and Manufacturing EngineeringProjection (linear algebra)Interval arithmeticConstructive solid geometryConstructive solid geometry[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Homotopy equivalenceGeometric primitiveBinary expression tree[INFO]Computer Science [cs]ProjectionComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematics[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]HomotopyFormal methodsDisjunctive normal formComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsAlgebra[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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NoC based virtualized FPGA as cloud Services

2016

International audience; Web-based applications are increasingly demanding many computationally intensive services. On the other hand, FPGA-based hardware accelerators(HwAcc) provide good performance in accelerating computationally intensive applications. In addition, some FPGAs support a dynamic partial reconfig-uration (DPR) techniques to virtualize and share the FPGA underlying hardware resources in time multiplexing during run-time to save resource and power consumption. Integrating FPGA in a cloud environment is an indispensable way to improve efficiency and provide acceleration services to demanding users. More importantly, in recent years it was proved that FPGA resources deployed in …

[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Virtualized FPGA[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cloud ComputingNetwork-on-Chip[INFO.INFO-ES] Computer Science [cs]/Embedded SystemsHard- ware accelerators
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The Hierarchical Agglomerative Clustering with Gower index: a methodology for automatic design of OLAP cube in ecological data processing context

2015

In Press, Corrected Proof; International audience; The OLAP systems can be an improvement for ecological studies. In fact, ecology studies, follows and analyzes phenomenon across space and time and according to several parameters. OLAP systems can provide to ecologists browsing in a large dataset. One focus of the current research on OLAP system is the automatic design of OLAP cubes and of data warehouse schemas. This kind of works makes accessible OLAP technology to non information technology experts. But to be efficient, the automatic OLAP building must take into account various cases. Moreover the OLAP technology is based on the concept of hierarchy. Thereby the hierarchical clustering m…

[ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA]Computer scienceContext (language use)02 engineering and technologycomputer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringDimension (data warehouse)Cluster analysisEcology Evolution Behavior and Systematics[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]OLAPEcologyAutomatic designApplied MathematicsEcological ModelingOnline analytical processing[ STAT.AP ] Statistics [stat]/Applications [stat.AP]InformationSystems_DATABASEMANAGEMENTHierarchical agglomerative clustering[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]Missing dataData warehouseComputer Science ApplicationsHierarchical clustering[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Computational Theory and MathematicsModeling and SimulationOLAP cube020201 artificial intelligence & image processingData mining[SDE.BE]Environmental Sciences/Biodiversity and EcologyBird populationcomputer
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Annealed Invariance Principle for Random Walks on Random Graphs Generated by Point Processes in R-d

2016

International audience; We consider simple random walks on random graphs embedded in R-d and generated by point processes such as Delaunay triangulations, Gabriel graphs and the creek-crossing graphs. Under suitable assumptions on the point process, we show an annealed invariance principle for these random walks. These results hold for a large variety of point processes including Poisson point processes, Matern cluster and Matern hardcore processes which have respectively clustering and repulsiveness properties. The proof relies on the use the process of the environment seen from the particle. It allows to reconstruct the original process as an additive functional of a Markovian process und…

[ MATH ] Mathematics [math][MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Voronoirandom walk in random environment[MATH] Mathematics [math]Delaunay triangulationMott LawTessellationsRandom Conductances[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]RecurrenceRandom Geometric GraphsReversible Markov-ProcessesRandom Environment[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST][MATH]Mathematics [math][MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]point processGabriel graphelectrical network[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Transienceenvironment seen from the particlePercolation Clustersannealed invariance principle[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]
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Shaken Snow Globes: Kinematic Tracers of the Multiphase Condensation Cascade in Massive Galaxies, Groups, and Clusters

2018

We propose a novel method to constrain turbulence and bulk motions in massive galaxies, groups and clusters, exploring both simulations and observations. As emerged in the recent picture of the top-down multiphase condensation, the hot gaseous halos are tightly linked to all other phases in terms of cospatiality and thermodynamics. While hot halos (10^7 K) are perturbed by subsonic turbulence, warm (10^4 K) ionized and neutral filaments condense out of the turbulent eddies. The peaks condense into cold molecular clouds (< 100 K) raining in the core via chaotic cold accretion (CCA). We show all phases are tightly linked via the ensemble (wide-aperture) velocity dispersion along the line o…

[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]Astrophysics01 natural sciencesSpectral lineGalaxy groupAbsorption (logic)010303 astronomy & astrophysicsLine (formation)hydrodynamicPhysicsastro-ph.HEHigh Energy Astrophysical Phenomena (astro-ph.HE)Velocity dispersionPhysics - Fluid DynamicsComputational Physics (physics.comp-ph)active [galaxies]astro-ph.COspectroscopic [techniques]Astrophysics - High Energy Astrophysical PhenomenaPhysics - Computational PhysicsAstrophysics - Cosmology and Nongalactic Astrophysics[ INFO ] Computer Science [cs]Cosmology and Nongalactic Astrophysics (astro-ph.CO)astro-ph.GAgalaxies: activeFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsISM [radio lines]0103 physical sciences[ PHYS.PHYS.PHYS-GEN-PH ] Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]/dk/atira/pure/subjectarea/asjc/1900/1912[INFO]Computer Science [cs]Astrophysics::Galaxy Astrophysicsradio lines: ISM010308 nuclear & particles physicsMolecular cloudturbulenceFluid Dynamics (physics.flu-dyn)Astronomy and AstrophysicsAstronomy and AstrophysicAstrophysics - Astrophysics of GalaxiesX-rays: galaxies: clusterGalaxyAccretion (astrophysics)[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]physics.flu-dynphysics.comp-phSpace and Planetary ScienceX-rays: galaxies: clustersAstrophysics of Galaxies (astro-ph.GA)hydrodynamics/dk/atira/pure/subjectarea/asjc/3100/3103galaxies: clusters [X-rays][PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]techniques: spectroscopic
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Symmetry-adapted tensorial formalism to model rovibrational and rovibronic spectra of molecules pertaining to various point groups

2004

International audience; We present a short review on the tensorial formalism developed by the Dijon group to solve molecular spectroscopy problems. This approach, originally devoted to the rovibrational spectroscopy of highly symmetrical species (spherical tops) has been recently extended in several directions: quasi-spherical tops, some symmetric and asymmetric tops, and rovibronic spectroscopy of spherical tops in a degenerate electronic state. Despite its apparent complexity (heavy notations, quite complex mathematical tools), these group theoretical tensorial methods have a great advantage of flexibility: a systematic expansion of effective terms for any rovib- rational/rovibronic probl…

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Rovibrational spectroscopyRovibronic spectroscopySymmetrizationTensorial formalism02 engineering and technologyMolecular spectroscopyPoint group01 natural sciencesSpectral lineTheoretical physics[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Quantum mechanics0103 physical sciencesPhysics::Atomic and Molecular ClustersMoleculeLineshapesPhysical and Theoretical ChemistrySpectroscopySpectroscopyPhysics010304 chemical physicsDegenerate energy levelsRotational–vibrational spectroscopy021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsFormalism (philosophy of mathematics)Group theory0210 nano-technology
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Rovibrational controlled-NOT gates using optimized stimulated Raman adiabatic passage techniques and optimal control theory

2009

International audience; Implementation of quantum controlled-NOT (CNOT) gates in realistic molecular systems is studied using stimulated Raman adiabatic passage (STIRAP) techniques optimized in the time domain by genetic algorithms or coupled with optimal control theory. In the first case, with an adiabatic solution (a series of STIRAP processes) as starting point, we optimize in the time domain different parameters of the pulses to obtain a high fidelity in two realistic cases under consideration. A two-qubit CNOT gate constructed from different assignments in rovibrational states is considered in diatomic (NaCs) or polyatomic (SCCl2) molecules. The difficulty of encoding logical states in…

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph][PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Physics::Atomic and Molecular Clusters[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
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Scheduling independent stochastic tasks on heterogeneous cloud platforms

2019

International audience; This work introduces scheduling strategies to maximize the expected number of independent tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The cloud platform is composed of several types of virtual machines (VMs), where each type has a unitexecution cost that depends upon its characteristics. The amount of budget spent during the execution of a task on a given VM is the product of its execution length by the unit execution cost of that VM. The execution lengths of tasks follow a variety of standard probability distributions (exponential, uniform, halfnormal, etc.), which is known beforehand and whose mean and stand…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]020203 distributed computingComputer scienceStochastic processbusiness.industryDistributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Processor schedulingCloud computing02 engineering and technologycomputer.software_genreScheduling (computing)Virtual machine0202 electrical engineering electronic engineering information engineeringTask analysisProbability distribution020201 artificial intelligence & image processing[INFO]Computer Science [cs][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]InterruptHeuristicsbusinesscomputer
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Scheduling independent stochastic tasks under deadline and budget constraints

2018

This article discusses scheduling strategies for the problem of maximizing the expected number of tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The execution times of tasks follow independent and identically distributed probability laws. The main questions are how many processors to enroll and whether and when to interrupt tasks that have been executing for some time. We provide complexity results and an asymptotically optimal strategy for the problem instance with discrete probability distributions and without deadline. We extend the latter strategy for the general case with continuous distributions and a deadline and we design an ef…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Mathematical optimizationOperations researchComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Cloud computing[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyExpected valueTheoretical Computer ScienceScheduling (computing)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]deadline0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]schedulingComputer Science::Operating SystemsComputingMilieux_MISCELLANEOUSBudget constraint020203 distributed computingcloud platformindependent tasksbusiness.industry[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationstochastic costAsymptotically optimal algorithmContinuous distributions[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Hardware and ArchitectureProbability distribution[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processingInterrupt[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessSoftwarebudget
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