DOI: https://doi.org/10.32515/2664-262X.2021.4(35).3-7

Problems of Distributed Computing and Ways to Solve Them

Roman Minailenko, Elisaveta Meleshko

About the Authors

Roman Minailenko, Associate Professor, PhD in Technics (Candidate of Technics Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: aron70@ukr.net, ORCID ID: 0000-0002-3783-0476

Elisaveta Meleshko, Associate Professor, Doctor in Technics (Doctor of Technics Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: elismeleshko@gmail.com, ORCID ID: 0000-0001-8791-0063

Abstract

The article considers the problems of distributed computing and possible ways to solve them. With the beginning of the development of computer networks and the advent of the Internet, a large number of remote services have appeared that offer their available computing resources. On the one hand, as a result of such cooperation, it is possible to solve the problem of insufficiency of own hardware resources, but, on the other hand, there are a number of problems, namely: lack of standards and algorithms of development and modeling as the main means of building distributed computing systems; lack of universal and convenient application development tools; technical problems and limitations, which are determined by the currently existing technical solutions for the construction of data processing systems with relatively high performance; small number and narrow focus of tasks that could generate income and require a comprehensive solution. One of the main problems with distributed computing is the slow development of high-speed network equipment that could compete with internal connections. Increasing the data transfer rate using outdated technologies is impossible for a number of technological and physical reasons. Research in the field of development of new data transmission protocols and their optimization is carried out, but the final decision does not yet exist When organizing calculations related to data processing, an important issue is the rational distribution of data in terms of effective problem solving. Ordinary users do not do this, because most often they use ready-made solutions for their tasks. Even when creating new distributed systems by professional programmers, the specifics of application areas are not fully taken into account. That is, the created software products do not provide the ability to adapt to specific tasks of users, although work in this direction has significantly intensified. The solution to the problems of universality of the application of distributed computing lies in the creation of methods for software development and the creation of generalized solutions that would be universal and suitable for use in various fields of research.

Keywords

distributed computing, computing resources, algorithms, modeling

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