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Mykhailo Osypov

Bio: Mykhailo Osypov is an academic researcher. The author has contributed to research in topics: Cloud computing & Cloud storage. The author has an hindex of 1, co-authored 2 publications receiving 6 citations.

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Journal ArticleDOI
30 Dec 2019
TL;DR: This approach helps to avoid is coping all data if the content of a file has changed in separately, and is based on hash ring that is absorbing every incoming byte if the current hash mask or equal to a certain reach 64KB, there is division committed.
Abstract: The system for backing up the data is designed. Client software works on the computer of user, takes all the necessary files for backup, and turns them into Stream of bytes. Then breaks it into blocks (from 32 KB to 64KB) using a Rabin algorithm. It is based on hash ring that is absorbing every incoming byte if the current hash mask or equal to a certain reach 64KB, there is division committed. This approach helps to avoid is coping all data if the content of a file has changed in separately. For each data block client software calculates the

6 citations


Cited by
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01 Jan 2003

3,093 citations

01 Jan 2020
TL;DR: The need to study the demand for bicycle sharing based on regression models of data analysis and prediction of results was investigated and UML diagrams were created to substantiate possibility of work of the main processes of the information systems.
Abstract: The need to study the demand for bicycle sharing based on regression models of data analysis and prediction of results was investigated. To substantiate possibility of work of the main processes of the information systems, UML diagrams were created. To determine the peaks in demand for bicycles in a certain period of time, it was proposed to use regression models of data analysis. The proposed decision trees were recommended for modeling new datasets in Smart Cities, especially Lviv.

11 citations

01 Jan 2020
TL;DR: This work is aimed at improving practical skills in implementing machine-learning methods, as well as creating a model that would be based on an appropriate ML algorithm and give a clear forecast of the risk of cancer in women.
Abstract: This work offers a model for predicting the risk of a particular disease in a particular patient. This work is aimed at improving practical skills in implementing machine-learning methods, as well as creating a model that would be based on an appropriate ML algorithm and give a clear forecast of the risk of cancer in women.

11 citations

01 Jan 2020
TL;DR: The developed program allows us to calculate the optimal number of buses on the route according to the previously defined criteria in a certain period of the day on weekdays and weekends (including holidays).
Abstract: The busload on the route is modeled, the main statistical characteristics of the process on route number 10 were calculated, and the optimal number of buses on the route is calculated, which would maximize the total number of passengers per flight. The developed program allows us to calculate the optimal number of buses on the route according to the previously defined criteria in a certain period of the day on weekdays and weekends (including holidays). Diagrams of distribution of passengers and their dependence on the number of buses and their schedules are given in the work.

10 citations