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The article has been presented on the international conference Grid-2014 (Russia, Dubna). Authors: Sergey Khoruzhnikov, Vladimir Grudinin, Oleg Sadov, Arsen Kairkanov (Faculty of Infocommunication Technologies ITMO University, St.Petersburg, Russian Federation) Andrey Shevel (National Research Centre "Kurchatov Institute" B.P.Konstantinov Petersburg Nuclear Physics Institute, Gatchina, Russian Federation) Abstract—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 Big 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. Keywords—data; Linux; transfer; SDN; Openflow; network.

Our testbed in ITMO University is connected to MSU

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Published in Digital scientific magazine «Modern problems of science and education» Abstract: Here it is described a study of possibilities to build up and test the performance of the software defined network (SDN) segments. The applicability of the SDN for data centers and the distributed storage systems. We describe experiments on stress testing of the storage area networks with the use of NOX controller and various software and hardware OpenFlow switches. A check on the possibility of processing bulk client requests, measured response delay, carried out experiments to simulate the operation of data center with 64 switches and 100 thousands hosts. The comparative results of the effectiveness of specific mechanisms implementing QoS are presented. The main problems of existing implementations of OpenFlow SDN components identified during the work and recommendations on possible ways to address them are described. Khoruzhnikov S.E., Chugreev D.A., Titov V.B., Sadov O.L., Kairkanov A.B., Grudinin V.A., Vlasov D.V., Shevel A.E., Shkrebets A.E., Soms L.N. National Research University of Information Technologies, Mechanics and Optics

Журнал "Компьютерные исследования и моделирование" Хоружников С. Э., Грудинин В. А., Садов О. Л., Шевель А. Е., Каирканов А. Б. Предварительное изучение передачи больших данных по компьютерной сети ............................................................................. 421

The article has been presented on the international astrophysical conference in Arkhyz, Russia - July, 2014. It has been published in «Astrophysical bulletin» - December, 2014. Authors: Khoruzhnikov S., Grudinin V., Sadov O., Shevel A., Titov V., Kairkanov A. The transfer of Big Data over computer network is important and unavoidable operation in the past, now and in any feasible future. A large variety of astronomical projects produces the BigData. There are a number of methods to transfer the data over global computer 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 discussed idea to add SDN Openflow protocol technique for fine grain tuning the data transfer process over several parallel data links. Key words: astronomical applications, data transfer, Linux, SDN, Openflow, network

David Bombal /CCIE #11023, over 15 years of network training experience/ This is an introductory SDN and OpenFlow course explaining different visions of what SDN actually is. The course also shows you real world implementations of SDN in very large networks as well as highly secure networks. You will also learn about how OpenFlow separates the control and data planes of networking devices. You will then see a practical demonstration of an application communicating with an SDN controller and Open vSwitch devices. See the full SDN architecture as part of the demonstrations: SDN Applications SDN Controller OpenFlow switches See how hosts can be blocked using OpenFlow rules. Чему вы научитесь Differentiate between different visions of SDN Determine if SDN is "real" today Explain Open SDN, SDN via APIs, NFV and other related concepts Explain how flow tables are updated Существуют ли у курса какие-либо (предварительные) требования? This is an introduction - no preexisting knowledge is required Для кого этот курс: Network Engineers wanting to learn about the brave new world of SDN and OpenFlow

Presentation for seminar "ПКС-технология в научно-образовательной среде" in Moscow State University, 30 May 2013.

Conference: «Innovative Networking Technologies: SDN & NFV – The Next Generation of Computational Infrastructure» Lomonosov Moscow State University - October 27-29, 2014. Published in Proceedenigs of the conference. http://sdiconf.com/files/SDI_Proceedings_2014.pdf Authors: Oleg L. Sadov, Vladimir A. Grudinin, Andrey Y. Shevel, Dmitry V. Vlasov, Sergey E. Khoruzhnikov, Alexander E. Shkrebets, Vladmir B. Titov, Arsen B. Kairkanov.