HIGH TECH IN EARTH SPACE RESEARCH

The method of preventive identification of the state of monitoring objects based on the symbolic representation of time series of their metrics

Allakin V.V.

Introduction: based on the analysis of methods for estimating time series of observed parameters of devices of public information and telecommunications networks, to develop a method for preventive identification of the state of monitoring objects using a symbolic representation of time series of their metrics.

Purpose: of the study is to determine the generalized universal characteristics of the time series, according to which it is possible to evaluate the variety of observed values of metrics related to a certain area of the state of the monitoring object (the class of its technical condition). Results: preventive identification of the abnormal state of the network element is carried out by identifying "forbidden" code syllables on the code word describing the observed time series of the metric. This approach to time series processing is borrowed from symbolic dynamics, which is used in bioinformatics when analyzing complex nucleotide genomic sequences. As a generalized universal characteristic of the time series, the entropy of code words is used, describing the time series encoded by the method of symbolic representation of the data of the observed metrics. An algorithm of the method of preventive identification of an abnormal situation on a time series of its parameters is developed, consisting of four stages: at the first stage, the time series is symbolically encoded according to possible parameter values; at the second, the entropy of the code word describing the time series of the observed metric is estimated; at the third, the classifier of the states of the measurement object is trained based on the entropy of shifts; at the fourth stage, the state is classified according to a test sample of measurements, in which the measured characteristic is described by its law of probability distribution of shifts. Practical relevance: when an abnormal functional state of a network element is detected, a transition to a special monitoring mode is carried out, when the frequency of polling by the monitoring server of the network element is significantly increased in order to timely take preventive control actions on the network infrastructure and prevent failure (the occurrence of an accident). Discussion: the methodology will allow to form the order of operation of the monitoring server in the future to identify the functional state of the network element and the public information and telecommunications network as a whole.

Editorial board

Bobrowsky V.I.
(Ph.D., Associate Professor, Head of Department of "INTELTEH")

Borisov V.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Professor, Department of Computer Science of MPEI)

Budko P.A.
(Ph.D., Professor, Department of Technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Budnikov S.A.
(Ph.D., associate professor, Actual Member of the Academy of Education Informatization, Head of the automated control systems Department in Russian Air Force Military Educational and Scientific Center “Air Force Academy named after Professor N.E. Zhukovsky and Y.A. Gagarin”)

Verhova G.V.
(Ph.D., Professor, Head of Department of Automation communication companies In the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Goncharevsky V.S.
(Ph.D., Professor, Honored Worker of Science and Technology of the Russian Federation, Professor of technologies and technical support and maintenance of the automated control systems in Military Space Academy of A.F. Mozhaysky)

Komashinskiy V.I.
(Ph.D., Professor, professor of processing and transmission discrete messages in the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Kirpanev A.V.
(Ph.D., Associate Professor, Head of JSC "Scientific Production Enterprise "Radar MMS")

Kurnosov V.I.
(Ph.D., Professor, Academician of Academy of Sciences of the Arctic, Academician of the International Academy of Informatization, International Academy of defense, security, law and order, corresponding member of the Academy of Natural Sciences, Senior Researcher" Open Joint Stock Company "Scientific Research Institute "Rubin")

Manuilov Y.S.
(Ph.D., Professor, Department of automated control systems space complexes in Military Space Academy of A.F. Mozhaysky)

Morozov A.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Head of the Department of automated command and control systems in Military Аcademy of troops of antiaircraft defense)

Moshak N.N.
(Ph.D., Associate Professor, head of the department of "INTELTEH")

Prorok V.Y.
(Ph.D., Professor, professor of automatic control systems in Military Space Academy of A.F. Mozhaysky)

Semenov S.S.
(Ph.D., associate professor, professor of technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Sinicyn E.A.
(Ph.D., Professor, Head of the Research Department of JSC "The All-Russian research institute of radio equipment")

Shatrakov Y.G.
(Ph.D., Professor, Honored Worker of Science, Scientific Secretary of JSC "The All-Russian research institute of radio equipment")