The application of the CLOPE algorithm for clustering a set of the network packets
For the modern software that uses network communication protocols the problem
of the ensuring reliability is acute. To solve such an important problem the stress testing is
used. This type of the testing involves the generation of a large number of the test data,
including sets of network packets. Reducing the stored data after the testing process is the main
task. This task can be solved by clustering the set of received packets. To solve this problem it
is proposed to use the clustering algorithm for categorical data of CLOPE. This algorithm
allows to cluster datasets without the information about the source clusters. It has the low
computational complexity and ease of implementation. The article describes the preparation
and results of sets of the network packets processing experiments. The article shows that the
CLOPE algorithm can be effectively used for the clustering network packets received during
stress testing. The results of the research extend the toolkit for the SW stress testing process.
The article reviews the methodological basis of macroprudential stress – testing used as a quantitative tool for analyzing and forecasting financial stability. This tool has been actively used by regulators around the world especially after global financial crisis in 2007-2008 years. We analyze the experience of macroprudential stress – testing of the banking sector providing by the US and the EU and focus on the methodology of the Bank of Russia. The authors use the general scientific methods of analysis and synthesis of literature in order to study various aspects of macroprudential stress – testing. The result of this work is a review of empirical studies on the macroprudential stress – testing and the analysis of the practical implementation in foreign countries and Russia. This article is of interest to a wide range of readers engaged in the study of theoretical and methodological aspects of the maintenance of financial stability.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.