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17.02.2012
Hundreds of millions of collisions per second -- Detectors collecting data to analyse 24/7 : the LHC and its experiements generate millions of gigabytes of data. The Computing Grid, a huge, worldwide network of computers was invented to manage, process and store these phenomenal volumes of data. How does it work ? Who uses it ? What is its performance since the LHC started up nearly two years ago? What are its other applications outside particle physics ? We're going to review all this with Oliver Keeble, Computing engineer at CERN who works on the computing Grid |
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18.01.2012
Tasks that are solved in the work Next tasks are solved in the work: 1. Studies of fundamental principles and basic elements of cloud technology. 2. Studies of approaches to the use of clouds. 3. Studies of security, privacy, data storage users and how they connect to the cloud. 4. Review of fundamental principles of Grid technologies. 5. Identifying trends in these technologies and their future development. |
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18.01.2012
Tasks solved in work The work presents theoretical information on the existing Grid systems of the molecular science. The different types of ontologies describe metadata chemical structures in these models, effective ways to identify resources in the Semantic Grid, namely the process of finding resources that meet the needs of users. The analysis of existing semantic Grid for molecular studies, including the purpose of each and list the tasks they perform with the current requirements of Semantic Grid. These requirements include the interoperability, scalability, decentralization and dynamism. |
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18.01.2012
Tasks solved in work The work presents theoretical information on the existing Grid infrastructure for biomedicine, considered various options for architecture and the various methods of building infrastructure, different functions of Grid infrastructure services. An analysis of existing Grid infrastructures, taking into account the purpose of each and a list of tasks that they perform in accordance with the requirements of complex, modular nature of biomedicine are represented in this work. |
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18.01.2012
Conclusions 1. Analyzed methods of semantic data integration. 2. Analyzed methods of organization of semantic data exchangeing in computing Grid. 3. The recommendations given for further usage of approaches to semantic Grid-services development. |
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18.01.2012
The achieved results Solving the tasks put in-process, an author protects: 1. Results of analysis of experiments concerning influence of different loads on computational resources and grid-network. 2. Results of analysis of comparation space-shared and time-shared modes. 3. Modification of task-grouping scheduling algorithm. 4. Results of analysis of influence of granularity time on task-grouping scheduling. |
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18.01.2012
The achieved results The result of this work is a theoretical consideration of the use of Semantic Grid for science and engineering. Was structured material on the basic goals of the Semantic Grid: data integration, resource discovery and semantic search. Made recommendations about how to use each method, and for Semantic Grid as a whole. |
18.01.2012
Attained results Uniting tasks which are put in-process, an author protects: 1. Results of analysis of Grid systems are for the Earth sciences. 2. Formulated recommendations in relation to creation of Grid systems for the Earth sciences in Ukraine. Scientific novelty of work |
18.01.2012
The achieved results |
12.01.2012
The only single, up-to-date source for Grid issues in bioinformatics and biology |
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