Хранение данных системой автономных устройств
The question of the organization of data storage in memory of system of the self-contained units equipped with sensors and collecting information on a state of environment is considered. The method of the organization of data recording in memory which will provide rational use of memory in the conditions of restrictions on resources is offered.
The paper is devoted to the problem of early error detection and analysis in hyperconverged systems. One approach to organizing hyperconverged systems is to install on each physical server a separate instance of an operating system (OS) that carries virtualization tools and tools for administering and using a distributed data warehouse. Errors can occur both at the level of a single OS instance and at the level of the entire cluster. For example, incorrect control element commands from one infrastructure node can cause software failure on another node. In addition, errors from the subsystems of the cluster can provoke abnormal situations inside virtual machines. The complexity of the architecture of hyperconverged systems makes it difficult to analyze the errors that occur in them. To simplify such an analysis and increase its effectiveness, it is necessary to automate the process of detecting problems and collecting data necessary for their study and correction. Existing approaches for automation of error detection are described and various improvements are suggested to adopt them for systems where distributed storage and virtualization technologies are actively used. Improvements include log collection from the whole cluster just after the error occurred, additional analysis of guest operating system behaviour inside virtual machines, usage of a knowledge base for automated crash recovery and duplicate detection. Finally, a real-life scenario of error handling process in Virtuozzo company products is described starting from error detection and ending with fix deployment.
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.