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Preliminary study of big data transfer over computer network
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 421-427Views (last year): 4.The transfer of Big Data over computer network is important and unavoidable operation in the past, now and in any feasible future. There are a number of methods to transfer the data over computer global network (Internet) with a range of tools. In this paper the transfer of one piece of Big Data from one point in the Internet to another point in Internet in general over long range distance: many thousands kilometers. Several free of charge systems to transfer the Big Data are analyzed here. The most important architecture features are emphasized and suggested idea to add SDN Openflow protocol technique for fine tuning the data transfer over several parallel data links.
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Using CERN cloud technologies for the further ATLAS TDAQ software development and for its application for the remote sensing data processing in the space monitoring tasks
Computer Research and Modeling, 2015, v. 7, no. 3, pp. 683-689Views (last year): 2.The CERN cloud technologies (the CernVM project) give a new possibility for the software developers. The participation of the JINR ATLAS TDAQ working group in the software development for distributed data acquisition and processing system (TDAQ) of the ATLAS experiment (CERN) involves the work in the condition of the dynamically developing system and its infrastructure. The CERN cloud technologies, especially CernVM, provide the most effective access as to the TDAQ software as to the third-part software used in ATLAS. The access to the Scientific Linux environment is provided by CernVM virtual machines and the access software repository — by CernVM-FS. The problem of the functioning of the TDAQ middleware in the CernVM environment was studied in this work. The CernVM usage is illustrated on three examples: the development of the packages Event Dump and Webemon, and the adaptation of the data quality auto checking system of the ATLAS TDAQ (Data Quality Monitoring Framework) for the radar data assessment.
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International Interdisciplinary Conference "Mathematics. Computing. Education"