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Game Portal in Cloud
Rozsypálek, Václav ; Maliulin, Valerii (referee) ; Škoda, Petr (advisor)
This thesis describes the design and implementation of gaming portal in the cloud for one of the providers of Platform as a Service (PaaS). The main part of this work is the selection of appropriate technologies and their use in the design and implementation of gaming portal. The conclusion is written based on the results of testing load and scalability.
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MongoDB as a Datastore for Google App Engine SDK
Heller, Stanislav ; Zendulka, Jaroslav (referee) ; Volf, Tomáš (advisor)
In this thesis, there are discussed use-cases of NoSQL database MongoDB implemented as a datastore for user data, which is stored by Datastore stubs in Google App Engine SDK. Existing stubs are not very well optimized for higher load; they significantly slow down application development and testing if there is a need to store larger data sets in these storages. The analysis is focused on features of MongoDB, Google App Engine NoSQL Datastore and interfaces for data manipulation in SDK - Datastore Service Stub API. As a result, there was designed and implemented new datastore stub, which is supposed to solve problems of existing stubs. New stub uses MongoDB as a database layer for storing testing data and it is fully integrated into Google App Engine SDK.
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Project Management Tool for Android Platform Tablets
Koudelka, Jan ; Kouřil, Jan (referee) ; Škoda, Petr (advisor)
This thesis is dedicated to the issue of project management and its support using software tools. It is focused on analysis of existing solutions and designing a new mobile application for Android platform. It summarizes basic principles of making mobile applications for Android OS. Designed application uses some properties of cloud computing for scaling and synchronizing data easily.
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Web-Based GPS Data Management System in a Cloud Environment
Kasala, Viliam ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This thesis focuses on development of web-based GPS data management system in a cloud environment. The thesis introduces the most used application interfaces for building custom mapping applications. It offers a comparison of cloud platforms such as Google App Engine and OpenShift Online. It also deals with the design and the implementation of system for OpenShift Online platform. The system focuses on importing tracks from GPX format, managing tracks, viewing tracks on map tiles from Mapy.cz, searching for tracks, creating an elevation profile and various statistics.
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Game Portal in Cloud
Rozsypálek, Václav ; Maliulin, Valerii (referee) ; Škoda, Petr (advisor)
This thesis describes the design and implementation of gaming portal in the cloud for one of the providers of Platform as a Service (PaaS). The main part of this work is the selection of appropriate technologies and their use in the design and implementation of gaming portal. The conclusion is written based on the results of testing load and scalability.
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Project Management Tool for Android Platform Tablets
Koudelka, Jan ; Kouřil, Jan (referee) ; Škoda, Petr (advisor)
This thesis is dedicated to the issue of project management and its support using software tools. It is focused on analysis of existing solutions and designing a new mobile application for Android platform. It summarizes basic principles of making mobile applications for Android OS. Designed application uses some properties of cloud computing for scaling and synchronizing data easily.
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MongoDB as a Datastore for Google App Engine SDK
Heller, Stanislav ; Zendulka, Jaroslav (referee) ; Volf, Tomáš (advisor)
In this thesis, there are discussed use-cases of NoSQL database MongoDB implemented as a datastore for user data, which is stored by Datastore stubs in Google App Engine SDK. Existing stubs are not very well optimized for higher load; they significantly slow down application development and testing if there is a need to store larger data sets in these storages. The analysis is focused on features of MongoDB, Google App Engine NoSQL Datastore and interfaces for data manipulation in SDK - Datastore Service Stub API. As a result, there was designed and implemented new datastore stub, which is supposed to solve problems of existing stubs. New stub uses MongoDB as a database layer for storing testing data and it is fully integrated into Google App Engine SDK.
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Web-Based GPS Data Management System in a Cloud Environment
Kasala, Viliam ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This thesis focuses on development of web-based GPS data management system in a cloud environment. The thesis introduces the most used application interfaces for building custom mapping applications. It offers a comparison of cloud platforms such as Google App Engine and OpenShift Online. It also deals with the design and the implementation of system for OpenShift Online platform. The system focuses on importing tracks from GPX format, managing tracks, viewing tracks on map tiles from Mapy.cz, searching for tracks, creating an elevation profile and various statistics.
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Information System for sports clubs
Krug, Jan ; Šlajchrt, Zbyněk (advisor) ; Pavlíčková, Jarmila (referee)
The Diploma thesis deals with design and development of an information system for sports clubs on the platform of Google App Engine. The theoretical part covers The Cloud Computing and types of CC. There is also analyzed in detail the Google App Engine. Practical part deals with analysis and development of the information system for sports clubs.
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Cloud computing - comparison of available solutions
Čurda, Vít ; Pavlíček, Luboš (advisor) ; Gála, Libor (referee)
Goal of this thesis is to explain functions and usage of cloud computing solution and offer a basic overview in cloud computing, especially PaaS level. In the beginning of this thesis are explained basic terms and principles of cloud computing, focus is also on Platform-as-a-Service level. Then, there is a overview of biggest and most known cloud computing providers and explanation, how providers services go. In practical part of this thesis, reader should be informed about basic practices in cloud computing application development and features of its platform. This is showed on Windows Azure and Google AppEngine platform. Features of these platforms are compared in the end of thesis.
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