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Defining volunteer computing: a formal approach
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 565-571Volunteer computing resembles private desktop grids whereas desktop grids are not fully equivalent to volunteer computing. There are several attempts to distinguish and categorize them using informal and formal methods. However, most formal approaches model a particular middleware and do not focus on the general notion of volunteer or desktop grid computing. This work makes an attempt to formalize their characteristics and relationship. To this end formal modeling is applied that tries to grasp the semantic of their functionalities — as opposed to comparisons based on properties, features, etc. We apply this modeling method to formalize the Berkeley Open Infrastructure for Network Computing (BOINC) [Anderson D. P., 2004] volunteer computing system.
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Development of distributed computing applications and services with Everest cloud platform
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 593-599Views (last year): 6. Citations: 2 (RSCI).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.
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Non-uniform cellular genetic algorithms
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 775-780Views (last year): 9. Citations: 3 (RSCI).In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space. The results of numerical comparison of non-uniform cellular genetic algorithms with the standard genetic algorithms, showing the advantages of the proposed approach while minimizing multimodal functions with a large number of local extrema, are presented. The coarse-grained parallel implementation of the non-uniform algorithms using the technology of MPI is considered.
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International Interdisciplinary Conference "Mathematics. Computing. Education"