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Scalable preprocessing of data using Hadoop tool
Marinič, Michal ; Šmirg, Ondřej (referee) ; Burget, Radim (advisor)
The thesis is concerned with scalable pre-processing of data using Hadoop tool which is used for processing of large volumes of data. In the first theoretical part it focuses on explaining of functioning and structure of the basic elements of Hadoop distributed file system and MapReduce methods for parallel processing. The latter practical part of the thesis describes the implementation of basic Hadoop cluster in pseudo-distributed mode for easy program-debugging, and also describes an implementation of Hadoop cluster in fully-distributed mode for simulation in practice.
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Web-Based Collaborative Real-Time Editor
Konečný, Martin ; Jaša, Petr (referee) ; Rychlý, Marek (advisor)
Real-time collaboration editing is research area that has been studied for over 20 years. It involves multiple users editing a document such as plain-text, rich-text or an image concurrently over a high-latency network. Many problems involving consistency between users are associated with concurrent document editing, and an innovative technique called Operational Transformation developed by the GROVE (GRoup Outline Viewing Editor) system in 1989 addresses some of these issues. This paper will compare and contrast current implementations of real-time collaborative editors, and on the basis of this analysis describe the creation of a new web-based editor with support for concurrent editing. The design of our web editor will focus on methods of mutual communication between the individual instances of the editors, propagation of text changes, how to solve conflicts between multiple operations, and communication failures.
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Reimplementation of GIS GRASS
Bartoň, Radek ; Peringer, Petr (referee) ; Hrubý, Martin (advisor)
The geographical information system GRASS has become a standard on the field of geographical phenomenon modeling during its 26 years old lifetime. However, its internal structure follows practices from the date of its creation. This thesis aims to design a possible shape of internal parts modernization using a component architecture and object-oriented design patterns with distributed computing and dynamic languages support in mind. The designed system should stay identical from the user's point-of-view. Design results are proven on a prototype library implementation called the GAL Framework.
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Distributed Computing by force of Action Script
Minář, Petr ; Kuba,, Martin (referee) ; Matoušek, Radomil (advisor)
This Master thesis deals with designing and realization of optimalization software in ActionScript 3.0 background. The designed applications realized in terms of computation by standalone and distributed variant and by means of chosen heuristic method called HC12. For verification of a function and performance was select set of testing examples. The main purpose of the work was create public clients in the network internet and calculated partial computing by it. The completed clients are selected by competence and carry on tasks. This research has been supported by the Czech Ministry of Education in the frame of MSM 0021630529 Research Intention Intelligent Systems in Automation.
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Hadoop: HDFS, MapReduce and cmputing in IBM BigInsights
Fessl, Adam ; Řezáč, Miroslav (advisor) ; Novotný, Ota (referee)
This undergraduate thesis thematically appertains to the field of Big Data. Particularly, it concerns Hadoop, an open-source tool, serving for distributed processing and saving data. The object of this thesis is to provide the reader with theoretical knowledge and basic prin-ciples concerning the Apache Hadoop with concentration on the file system HDFS and model for distributed MapReduce computing. Theoretical knowledge and principles are illustrated on modified application WordCount in IBM InfoSphereBigInsights. This work consists of three parts. First part is dealing with Hadoop and its basic modules. Second one provides information concerning the prominent Hadoop distributors; special attention is given to IBM. The last part presents practical computing. This thesis offers a comprehensive view on Hadoop, which combines technical point of view with practical application. Both of them are illustrated on particular examples and supplemented with methods to operate Hadoop.
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