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Comparison of Distribtued File System Features
Tomec, Martin ; Kašpárek, Tomáš (referee) ; Szőke, Igor (advisor)
This work deals with comparsion of distributed filesystems Ceph, Lustre and Kosmos FS. General properties of these systems are summarized here, including method of their installing, configuring and launching. Testing tools and test sets are described in the next part. Performance and abilities of these systems were tested on a network of nine computers. Last part contains analyses and evaluation of results, figuring out bottleneck of these systems. Lustre seems to be the best of these systems.
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Server Part of the Project Documentation Management System
Černobila, Radek ; Rychnovský, Lukáš (referee) ; Křivka, Zbyněk (advisor)
The goal of this work is proposal and implementation of the revision system that can control whole development process of a project. It shows alternatives of the implementation of its parts. The main is a persistent data storage and the system architecture. The expected result is a application that is able to present basic solved problems as are project branching and distributed data storage.
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Design of Distributed Filesystem
Ďulík, Jan ; Michal, Bohumil (referee) ; Kašpárek, Tomáš (advisor)
Main goal of this work is to design and implement distributed file system for storing data of project. There can be more geographical separated work groups involved in the project. Big deal is done with analysing the situations, which can occur while using the distributed file system. The work is concerned with choosing suitable data replication politic while considering miscellaneous work models and drain. The last part describes implementation of distributed file system for Linux operating system with use of FUSE and rsync.
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Big Data Processing from Large IoT Networks
Benkő, Krisztián ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
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Big Data Processing from Large IoT Networks
Benkő, Krisztián ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
|
|
|
Design of Distributed Filesystem
Ďulík, Jan ; Michal, Bohumil (referee) ; Kašpárek, Tomáš (advisor)
Main goal of this work is to design and implement distributed file system for storing data of project. There can be more geographical separated work groups involved in the project. Big deal is done with analysing the situations, which can occur while using the distributed file system. The work is concerned with choosing suitable data replication politic while considering miscellaneous work models and drain. The last part describes implementation of distributed file system for Linux operating system with use of FUSE and rsync.
|
|
|
Server Part of the Project Documentation Management System
Černobila, Radek ; Rychnovský, Lukáš (referee) ; Křivka, Zbyněk (advisor)
The goal of this work is proposal and implementation of the revision system that can control whole development process of a project. It shows alternatives of the implementation of its parts. The main is a persistent data storage and the system architecture. The expected result is a application that is able to present basic solved problems as are project branching and distributed data storage.
|
|
|
Comparison of Distribtued File System Features
Tomec, Martin ; Kašpárek, Tomáš (referee) ; Szőke, Igor (advisor)
This work deals with comparsion of distributed filesystems Ceph, Lustre and Kosmos FS. General properties of these systems are summarized here, including method of their installing, configuring and launching. Testing tools and test sets are described in the next part. Performance and abilities of these systems were tested on a network of nine computers. Last part contains analyses and evaluation of results, figuring out bottleneck of these systems. Lustre seems to be the best of these systems.
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