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Getting a qualified medical examination can be difficult for people in remote areas because medical staff available can either be inaccessible or it might lack expert knowledge at proper level. Telemedicine technologies can help in such situations. On one hand, such technologies allow highly qualified doctors to consult remotely, thereby increasing the quality of diagnosis and plan treatment. On the other hand, computer-aided analysis of the research results, anamnesis and information on similar cases assist medical staff in their routine activities and decision-making.

Creating telemedicine system for a particular domain is a laborious process. It’s not sufficient to pick proper medical experts and to fill the knowledge base of the analytical module. It’s also necessary to organize the entire infrastructure of the system to meet the requirements in terms of reliability, fault tolerance, protection of personal data and so on. Tools with reusable infrastructure elements, which are common to such systems, are able to decrease the amount of work needed for the development of telemedicine systems.

An interactive tool for creating distributed telemedicine systems is described in the article. A list of requirements for the systems is presented; structural solutions for meeting the requirements are suggested. A composition of such elements applicable for distributed systems is described in the article. A cardiac telemedicine system is described as a foundation of the tool

Independent components communicating with each other due to complex control make the work of complex distributed computer systems poorly scalable within the framework of the existing communication middleware. Two major problems of such systems' scaling can be defined: overloading of unequal nodes due to proportional redistribution of workload and difficulties in the realization of continuous communication between several nodes of the system. This paper is focused on the developed solution enabling visualization of the work of such a dynamical system.

Although each task of recreating artifacts is truly unique, the modeling process for façades, foundations and building elements can be parametrized. This paper is focused on a complex of the existing programming libraries and solutions that need to be united into a single computer system to solve such a task. An algorithm of generating 3D filling of objects under reconstruction is presented. The solution architecture necessary for the system's adaptation for a cloud environment is studied.

We'd like to present a specific grid infrastructure and web application development and deployment. The purpose of infrastructure and web application is to solve particular geophysical problems that require heavy computational resources. Here we cover technology overview and connector framework internals. The connector framework links problem-specific routines with middleware in a manner that developer of application doesn't have to be aware of any particular grid software. That is, the web application built with this framework acts as an interface between the user 's web browser and Grid's (often very) own middleware.

Our distributed computing system is built around Gridway metascheduler. The metascheduler is connected to TORQUE resource managers of virtual compute nodes that are being run atop of compute cluster utilizing the virtualization technology. Such approach offers several notable features that are unavailable to bare-metal compute clusters.

The first application we've integrated with our framework is seismic anisotropic parameters determination by inversion of SKS and converted phases. We've used probabilistic approach to inverse problem solution based on a posteriory probability distribution function (APDF) formalism. To get the exact solution of the problem we have to compute the values of multidimensional function. Within our implementation we used brute-force APDF calculation on rectangular grid across parameter space.

The result of computation is stored in relational DBMS and then represented in familiar human-readable form. Application provides several instruments to allow analysis of function's shape by computational results: maximum value distribution, 2D cross-sections of APDF, 2D marginals and a few other tools. During the tests we've run the application against both synthetic and observed data.

The approach to build territorial distributed storage system for high performance computing environment of UB RAS is presented. The storage system is based on the dCache middleware from the European Middleware Initiative project. The first milestone of distributed storage system implementation includes the data centers at the two UB RAS Regions: Yekaterinburg and Perm.

The use of service-oriented approach in scientific domains can increase research productivity by enabling sharing, publication and reuse of computing applications, as well as automation of scientific workflows. Everest is a cloud platform that enables researchers with minimal skills to publish and use scientific applications as services. In contrast to existing solutions, Everest executes applications on external resources attached by users, implements flexible binding of resources to applications and supports programmatic access to the platform's functionality. The paper presents current state of the platform, recent developments and remaining challenges.

Parameter sweep applications are a very important class of applications, which are typically defined as a set of computational experiments over a set of input parameters, each of which is executed with its own parameter combination. These computations arise in many scientific contexts. This article introduces the Parameter Sweep web service that runs such applications in distributed computing environment. Also discussed is the Everest cloud platform, on which this service is built.

The review of the distributed computing infrastructure of the Tier-1 sites for the Alice, ATLAS, LHCb experiments at the LHC is given. The special emphasis is placed on the main tasks and services of the Tier-1 site, which operates in the Kurchatov Institute in Moscow.

Grid is a new type of computing infrastructure, is intensively developed in today world of information technologies. Grid provides global integration of information and computing resources. The essence Conception of GRID in Azerbaijan is to create a set of standardized services to provide a reliable, compatible, inexpensive and secure access to geographically distributed high-tech information and computing resources a separate computer, cluster and supercomputing centers, information storage, networks, scientific tools etc.

The paper presents an implementation of branch and bound algorithm employing coarse grained parallelism. The system is based on CBC (COIN-OR branch and cut) open-source MIP solver and inter-process communication capabilities of Erlang. Numerical results show noticeable speedup in comparison to single-threaded CBC instance.