
МагиÑтерÑÐºÐ°Ñ Ñ€Ð°Ð±Ð¾Ñ‚Ð° поÑвÑщена реализации программного обеÑÐ¿ÐµÑ‡ÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° физичеÑкого воÑÐ¿Ð¸Ñ‚Ð°Ð½Ð¸Ñ Ð½Ð°ÑÐµÐ»ÐµÐ½Ð¸Ñ Ð½Ð° оÑнове результатов норм ГТО. Ð’ рамках Ð²Ñ‹Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹ были изучены оÑобенноÑти архитектуры веб-ÑервиÑов и мобильных приложений, был произведен анализ ÑущеÑтвующих технологий и подходов, иÑпользуемых при разработке похожих задач. Была Ñпроектирована модель данных и архитектура программного обеÑпечениÑ, разработаны Ñерверные и клиентÑкие чаÑти. Проведены метрики и теÑÑ‚Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾Ð»ÑƒÑ‡Ð¸Ð²ÑˆÐµÐ³Ð¾ÑÑ Ð¿Ñ€Ð¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ. СиÑтема была развернута на облачной платформе «ЯндекÑ.Облако», где приложение было разделено на два клаÑтера, один из которых отвечал за Ñерверную чаÑть, а второй за работу базы данных. Общение между Ñобой проиÑходит по выделенным Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клаÑтера IP-адреÑам.
The master's work is devoted to the implementation of software for the analysis of physical education of the population on the basis of the results of GTO norms. As part of the work, the features of the architecture of web services and mobile applications were studied, the existing technologies and approaches used in the development of similar tasks were analyzed. Data model and software architecture were designed, server and client parts were developed. Metrics and testing of the resulting application were carried out. The system was deployed on the cloud platform “Yandex.Cloudâ€, where the application was divided into two clusters, one of which was responsible for the server part, and the second for the operation of the database. Communication between each other takes place at the dedicated IP-addresses for each cluster.
ÐнÑеÑнеÑ, анализ даннÑÑ, ÐÐ°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ, меÑÑики, ÑеÑÑиÑование, ÑеÑвеÑ-клиенÑ, веб-ÑеÑвиÑ
ÐнÑеÑнеÑ, анализ даннÑÑ, ÐÐ°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ, меÑÑики, ÑеÑÑиÑование, ÑеÑвеÑ-клиенÑ, веб-ÑеÑвиÑ
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