Институт проблем информатики Российской Академии наук
Институт проблем информатики Российской Академии наук
Российская Академия наук

Институт проблем информатики Российской Академии наук



RUSSIAN ACADEMY OF SCIENCES
THE INSTITUTE OF INFORMATICS PROBLEMS (IPI RAN)
The Systems and Means of Informatics
Special Issue, 2008

Оглавление

ON A SIMULATION APROACH TO CLUSTER STABILTY VALIDATION

  • Zeev Barzily   Software Engineering Department, ORT Braude College of Engineering, Karmiel, Israel
  • Mati Golani  Software Engineering Department, ORT Braude College of Engineering, Karmiel, Israel
  • Zeev Volkovich  Software Engineering Department, ORT Braude College of Engineering, Karmiel, Israel

Abstract:  In the current paper we outline a new approach to the “true number of clusters” determination problem. Our method combines both the stability and density concentration approaches. In the spirit of the density estimation methodology, we consider each cluster as an island of “high” density of items in a sea of “low” density. In addition, following the cluster steadiness concept, we suggest that these islands are “resistant” to a random noise. In other words, we believe that adding noise to the attributes of the data elements does not change the clusters structure. A second novelty of our approach is the proposition to measure the similarity between source-data clusters and noisy-data clusters by means of two sample test statistics, represented by probability metricsdistances. Such a pair seems as an appropriate database for the true number of clusters determination. As a consequence of the high resemblance between these samples, within the partitions, the similarity is expected to be amplified under the true number of clusters. According to our model, the true number of clusters corresponds to the empirical distance distribution which is most concentrated at zero. Thus, our procedure can be considered as the creation of an empirical normalized distance distribution, followed by testing its concentration at zero. This test is carried out by means of the sample mean and the size of the sample first quartile.

AN APPROACH TO CLASSIFICATION OF COMPUTER SYSTEMS FAULTS LOCALIZATION MODELS

  • Sergey Frenkel   Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia
  • Eugene Levner  Holon Institute of Technology, Holon, Israel
  • Victor Zakharov  Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia

Abstract:  This paper suggests a characterization of fault localization strategies and a classification of probability-based search algorithms, which are widely used in the current practice of complex computer systems and networks systems maintenance and service. The characterization is performed in terms of some tuples including: characteristics of fault models, localization procedures, cost functions, and other factors. Such characterization (and an induced classification) can be used for a rational choice of search algorithms at early system design stages, for development of strategies of possible fault localization during the target systems maintenance and service. Search algorithms classification is based on the special notation like those used in the queuing theory.

COMPLEXITY AND CONSISTENCY OF STATISTICAL CRITERIA

  • Alexander Grusho   Lomonosov Moscow State University, Moscow, Russia
  • Nick Grusho   Russian State University for the Humanities, Moscow, Russia
  • Elena Timonina   Russian State University for the Humanities, Moscow, Russia

Abstract:  We investigate relations between consistency of statistical criteria sequences in finite probability spaces and asymptotic complexity of test calculations. It is proved that for every consistent test sequence it is possible to construct another consistent sequence for which complexity of calculations of membership functions of new criteria critical sets can be made asymptotically small in comparison with similar complexity for initial criteria. However such simplification appears to be fictitious as a matter of fact. To prevent fictitious simplification of calculations of membership functions of critical sets in a sequence of criteria it is necessary to set additional restrictions on classes of considered criteria. It is shown, that in case of such natural restrictions any simplification of calculations can lead to a failure of a consistency of criteria sequence. Estimations of efficiency of two-level criteria are resulted, when simple but not consistent in the given class of alternatives criteria work at first, and only in case of nonacceptance of a hypothesis hard computable but consistent criteria are applied.

BAYESIAN QUEUEING AND RELIABILITY MODELS

  • Alexey Kudryavtsev   Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia
  • Sergey Shorgin   Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia
  • Vsevolod Shorgin   Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia
  • Valery Chentsov   Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia

Abstract:  The Bayesian approach for certain tasks of queueing systems theory and reliability theory is investigated. The method provides the randomization of system characteristics with regard of a priori distributions of input parameters. This approach could be used, for instance, for calculating average values and for construction of confidential intervals applicable for performance and reliability characteristics of large groups of systems or devices. The results for certain models of input flow and service time parameters are presented.

G-NETWORK WITH THE ROUTE CHANGE

  • Rosanna Manzo   Department of Information Engineering and Applied Mathematics University of Salerno, Fisciano, Italy
  • Alexander Pechinkin   Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia

Abstract:  Queueing networks with negative customers (G-networks), Poisson flow of positive customers, non-exponential nodes, and dependent service at the different nodes are under consideration. Every customer arriving at the network is defined by a set of random parameters: customer route, the length of customer route, customer volume and its service time at each route stage as well. The arrival of a negative customer to a queuing system causes one of the ordinary (or “positive”) customers to be removed (or “killed”) if any is present. The “killed” customer continues its way along the new random route. For such G-networks, the multidimensional stationary distribution of the network state probabilities is shown to be representable in product form.

FAN-BEAM STOCHASTIC TOMOGRAPHY

  • Oleg Shestakov   Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia

Abstract:  In fan-beam tomography settings an object is illuminated by the divergent pencil of rays emitted from the source which moves around it. This scheme works much faster than traditional parallel beam tomography. In some biological and physical applications an abject under study is described by random function. This paper considers the problem of recovering probabilistic characteristics of random function from fan-beam projections.

ESTIMATION OF DELAY DISTRIBUTION IN HIV DYNAMICS

  • Anastasia Ushakova   Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway

Abstract:  In this paper we present two methods of estimating a delay distribution in biological dynamical systems. The model of HIV infection serves as an example of such systems. The first method is based on parametric approach and on approximation of the delay density by a gamma-density. The second method is nonparametric and is based on solution of a convolution equation with selection of the regularization parameter from a parametric start.

ON LINGUISTIC CLASSIFICATION OF BACTERIAL GENOMES

  • Zeev Volkovich   Software Engineering Department, ORT Braude College of Engineering, Karmiel, Israel
  • Valery Kirzhner   Institute of Evolution, University of Haifa, Haifa, Israel
  • Zeev Barzily   Software Engineering Department, ORT Braude College of Engineering, Karmiel, Israel

Abstract: The paper is devoted to classification of 185 full prokaryote genomes using a modification of the compositional spectra method. This modification suggests separate calculation of the compositional spectra for coding and non-coding subsequences of the genome. For each subsequence, the corresponding vector, in Euclidian space, can be obtained using certain manipulations of the compositional spectra. This allows analyzing the structure of genome and determining the most probable number of genome clusters without any additional information. Our clustering method is based on the application of the external indexes of partitions agreement and the number of the misclassified items within repeated partitions. A biological justification, for the four and the two letters alphabets, substantiates the appropriateness of the outcomes acquired.

EXPERIMENTALLY OBTAINED MEASUREMENTS FOR RECONSTRUCTION OF ORTHOGRAPHIC VIEWS

  • Miri Weiss-Cohen   Ort Braude College of Engineering, Karmiel, Israel
  • Alina Bondarenko   Rafael, Haifa, Israel
  • Yoram Halevi   Technion-Israel Institute of Technology, Haifa, Israel

Abstract:  The orthographic views are constructed from a moving sensor, either a distancemeter or a camera, in an automatic fashion using estimation techniques. The raw distance measurements are processed via a filter which generates estimates of the part dimensions and position. The fact that the outcome of the estimation (measurement) process is a set of explicit contour equations is suitable for creating orthographic views using variational geometry representation.

ON INTRUSION IN A LINEARLY-STRATIFIED AMBIENT: THE ASYMMETRIC STEADY-STATE MODEL

  • Tamar Zemach   Department of Computer Science, Technion, Haifa
  • Marius Ungarish   Software Engineering Department, ORT Braude College of Engineering, Karmiel, Israel

Abstract:  The behavior of the steady intrusive gravity currents spreading into a stratified ambient fluid is investigated. The intrusive gravity current of thicknessh and density?c which propagates with speedU at the neutral buoyancy level of a long horizontal channel of heightH into a stratified ambient fluid whose density increases linearly from ?o to ?b is investigated. The intrusive and the ambient fluids are assumed to be asymmetric due to axis passing the stagnation point of the system. The Boussinesq, high-Reynolds number two-dimensional configuration is discussed. The Long’s model combined with the flow-force balance over the width of the channel and the pressure balances over a density current are used to obtain the desired results. It is shown that the intrusion velocity decreases with decreasing the asymmetry of the system and approaches its minimum for the symmetric configuration. In additional, the comparison between asymmetric and symmetric configurations shows no significant differences between the models.