10,655 research outputs found
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Architectures
Cloud controllers support the operation and quality management of dynamic cloud architectures by automatically scaling the compute resources to meet performance guarantees and minimize resource costs. Existing cloud controllers often resort to scaling strategies that are codified as a set of architecture adaptation rules. However, for a cloud provider, deployed application architectures are black-boxes, making it difficult at design time to define optimal or pre-emptive adaptation rules. Thus, the burden of taking adaptation decisions often is delegated to the cloud application. We propose the dynamic learning of adaptation rules for deployed application architectures in the cloud. We introduce FQL4KE, a self-learning fuzzy controller that learns and modifies fuzzy rules at runtime. The benefit is that we do not have to rely solely on precise design-time knowledge, which may be difficult to acquire. FQL4KE empowers users to configure cloud controllers by simply adjusting weights representing priorities for architecture quality instead of defining complex rules. FQL4KE has been experimentally validated using the cloud application framework ElasticBench in Azure and OpenStack. The experimental results demonstrate that FQL4KE outperforms both a fuzzy controller without learning and the native Azure auto-scalin
Causality detection and turbulence in fusion plasmas
This work explores the potential of an information-theoretical causality
detection method for unraveling the relation between fluctuating variables in
complex nonlinear systems. The method is tested on some simple though nonlinear
models, and guidelines for the choice of analysis parameters are established.
Then, measurements from magnetically confined fusion plasmas are analyzed. The
selected data bear relevance to the all-important spontaneous confinement
transitions often observed in fusion plasmas, fundamental for the design of an
economically attractive fusion reactor. It is shown how the present method is
capable of clarifying the interaction between fluctuating quantities such as
the turbulence amplitude, turbulent flux, and Zonal Flow amplitude, and
uncovers several interactions that were missed by traditional methods.Comment: 26 pages, 14 figure
Sinopsis del género Holocompsa Burmeister, 1838 (Blattodea: Corydiidae: Holocompsinae) en América, con énfasis en México
Se presenta la información hasta la fecha del género pantropical Holocompsa Burmeister, 1838, con énfasis en México. Adicionalmente, se describe una nueva especie con base en material colectado en Yucatán, México. Se propone una guía taxonómica para las especies americanas.The information of the pantropical genus Holocompsa Burmeister is presented to date, with emphasis on Mexico. Additionally, a new species is described based on material collected in Yucatan, Mexico. A taxonomic guide for the American species is proposed
Tetraquark spectroscopy
A complete classification of tetraquark states in terms of the spin-flavor,
color and spatial degrees of freedom was constructed. The permutational
symmetry properties of both the spin-flavor and orbital parts of the
quark-quark and antiquark-antiquark subsystems are discussed. This complete
classification is general and model-independent, and is useful both for
model-builders and experimentalists. The total wave functions are also
explicitly constructed in the hypothesis of ideal mixing; this basis for
tetraquark states will enable the eigenvalue problem to be solved for a
definite dynamical model. This is also valid for diquark-antidiquark models,
for which the basis is a subset of the one we have constructed. An evaluation
of the tetraquark spectrum is obtained from the Iachello mass formula for
normal mesons, here generalized to tetraquark systems. This mass formula is a
generalizazion of the Gell-Mann Okubo mass formula, whose coefficients have
been upgraded by means of the latest PDG data.
The ground state tetraquark nonet was identified with ,
, , . The mass splittings predicted by
this mass formula are compared to the KLOE, Fermilab E791 and BES experimental
data. The diquark-antidiquark limit was also studied.Comment: Invited talk at 11th International Conference on Meson-Nucleon
Physics and the Structure of the Nucleon (MENU 2007), Julich, Germany, 10-14
Sep 2007. In the Proceedings of 11th International Conference on
Meson-Nucleon Physics and the Structure of the Nucleon (MENU 2007), Julich,
Germany, 10-14 Sep 2007, eConf C070910, 163 (2007
NASA-JSC antenna near-field measurement system
Work was completed on the near-field range control software. The capabilities of the data processing software were expanded with the addition of probe compensation. In addition, the user can process the measured data from the same computer terminal used for range control. The design of the laser metrology system was completed. It provides precise measruement of probe location during near-field measurements as well as position data for control of the translation beam and probe cart. A near-field range measurement system was designed, fabricated, and tested
On the order of summability of the Fourier inversion formula
In this article we show that the order of the point value, in the sense of Łojasiewicz, of a tempered distribution and the order of summability of the pointwise Fourier inversion formula are closely related. Assuming that the order of the point values and certain order of growth at infinity are given for a tempered distribution, we estimate the order of summability of the Fourier inversion formula. For Fourier series, and in other cases, it is shown that if the distribution has a distributional point value of order k, then its Fourier series is e.v. Cesàro summable to the distributional point value of order k+1. Conversely, we also show that if the pointwise Fourier inversion formula is e.v. Cesàro summable of order k, then the distribution is the (k+1)-th derivative of a locally integrable function, and the distribution has a distributional point value of order k+2. We also establish connections between orders of summability and local behavior for other Fourier inversion problems
Hadamard Regularization
Motivated by the problem of the dynamics of point-particles in high
post-Newtonian (e.g. 3PN) approximations of general relativity, we consider a
certain class of functions which are smooth except at some isolated points
around which they admit a power-like singular expansion. We review the concepts
of (i) Hadamard ``partie finie'' of such functions at the location of singular
points, (ii) the partie finie of their divergent integral. We present and
investigate different expressions, useful in applications, for the latter
partie finie. To each singular function, we associate a partie-finie (Pf)
pseudo-function. The multiplication of pseudo-functions is defined by the
ordinary (pointwise) product. We construct a delta-pseudo-function on the class
of singular functions, which reduces to the usual notion of Dirac distribution
when applied on smooth functions with compact support. We introduce and analyse
a new derivative operator acting on pseudo-functions, and generalizing, in this
context, the Schwartz distributional derivative. This operator is uniquely
defined up to an arbitrary numerical constant. Time derivatives and partial
derivatives with respect to the singular points are also investigated. In the
course of the paper, all the formulas needed in the application to the physical
problem are derived.Comment: 50 pages, to appear in Journal of Mathematical Physic
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