The article describes the status of the Lead-in component of a Language for Special Purposes (LSP) electronic textbook module. The paper writers emphasize the significance of Lead-in within the module framework as it stimulates students’ cognitive and communicative activity at a single lesson as well as throughout a set of lessons. Various contents of the Lead-in section which depend on the module topic have been described. It has been proved that the Lead-in section predetermines the students’ further successful study and acquisition of the module material.
The paper describes methods and technologies that for the first time enabled the real-time access to large volumes of retrospective climate data for numerous concurrent clients. With graphical 3D interface, a user is able to navigate intuitively in time, visualize data and interactively issue queries for calculating statistical values. The required data for visualization and computing are not stored on the client machine. They are delivered in real-time over Internet from computer cluster. Provided experimental results for several thousand users evidence the effectiveness of the approach. The methods presented in this paper are implemented in client-server system Climate Wikience. It is capable to transfer and visualize in real-time data from ERA-Interim climate reanalysis archive, MODIS L3 satellite data as well as build isolines based on these data. Climate Wikience will enable significantly enhance the understanding of large volumes of retrospective geographical data and provide unprecedented opportunities for Earth science researchers.
An approach to designing and organization of information systems operation based on the processing of unstructured information presented in the electronic documents is proposed. Documents processing relies on its semantic indexing and inclusion in its additional metainformation. The paper presents a model of the document, allowing to formalize algorithms of intelligent processing documents and providing opportunities for integration document with ontological resources. Semantic indexing is based on a multidimensional ontology, which describes the structure and semantics of the document. Semantic index of document allows to apply agent-based approach for document processing, that allows to solve the problem of including business logic to documents. The system becomes more flexible, intelligent, adaptable to dynamic environments. The proposed approach allows to solve a wide range of tasks associated with the use of electronic documents in the information system at all stages of their life cycle. That makes possible to use term suggesting that the “document-oriented paradigm” to support the whole life cycle of information system.
An effective management of enterprises is impossible without using tools of modeling and analy-sis of business processes. Used modeling tools should be available for different categories of users, system analysts and business analysts participating in creation and study of models. One more require-ment is diminution of operation laboriousness of the analysts through reuse of the developed models for the solution of different tasks, upon transition from one stage of operations to another where other mod-eling means are applied. Domain specific modeling with DSM-platforms, intended for development of domain-specific languages and models, and also for execution of their transformations according to needs of users, can become a basis of such means. Use of DSM-platforms allows to expand expressive facilities of existing languages, to create new languages "focused" on the solution of certain tasks in specific domain. There are many DSM-platforms, but the analysis showed that all of them have the re-strictions that are essential from the point of view of considered tasks. The requirements to languages and means of business modeling are described in the paper. New opportunities the MetaLanguage DSM-platform, increasing performance of analysts operation, are presented.
In the process of software products development and their maintenance a large number of project documents is created and used. To automate their processing and control of the product requirements referred in the documents, developing tools supporting the work of the analyst in the design of information systems is required. In order to carry out control of each type of requirements individually, it is needed to define the project document sections that describe a particular type of system requirements. To perform such analysis, tools for describing the structure of the analyzed document are required. Visual domain-specific languages can be used as these tools, allowing to perform a description of the document structure in terminology of the domain using graphical interface. The approach to creating such domain-specific language is considered. The language has two levels: the first level allows to determine the total set of documents and the relationships between them, and the second – the structure of each project document separately. The developed domain-specific language can be integrated into a system of support of analyst working in the information systems design process. On the one hand, it will allow based on a set of loaded into the system design documentation to perform their analysis and parsing, presenting each part of the documentation in the form of individual element of the model. On the other hand, using developed language the analyst can describe each part of the design documentation separately, and then generate on their basis uniform text description. The language has a simple graphical notation, therefore it can be used by as IT-specialists and clients who are not professional programmers.
Cloud services are becoming increasingly popular and they are among the most convenient means for computations in wide range of tasks. Authorization and authentication services for resource management in open-source clouds are distinct from proprietary solutions. An «atom» in open-source solutions is not a personal account but a grouping entity (tenant/project/etc). This approach imposes restrictions on building authorization and authentication service. Besides, users and other cloud services interact with the same system which prevents the cloud from adding fake nodes. Identification systems in open cloud platforms rely on two common components: relational database management system and common algorithms of cryptography on stored data. None of the system developers put performance first in such systems but they provide some means for reliability and high availability. This article shows importance of scaling identification system in context of performance for Openstack Keystone. We provide experiments and analytics suggesting that using RDBMS is wrong for such a task due to the complexity of employed crypto-algorithms and centralized storage system. We show that this common approach leads to non-linear scalability on nodes count and number of users. We describe a new approach which allows to solve scalability issues by replacing RDBMS with In-Memory Data Grid(IMDG) solutions. Prototype solution has been implemented using Tarantool IMDG.
The paper describes the transformations which the cause and effect functional and semantic field (FSF) constituents may undergo in Modern Russian. Having carried out the transformational analysis procedure within the framework of the semantic forms of thought theory the paper writer arrives at the conclusion that the language means representing the cause and effect subcategories that make up the corresponding subfields differ on the basis of thought expression forms but not objectively thus being syntactic synonyms.