Prof.
Weidong Li
(Computing Center Institute of High Energy Physics, Chinese Academy of Sciences)
7/4/16, 11:00 AM
Plenary reports
The Institute of High Energy Physics (IHEP) is the biggest and comprehensive
fundamental research center in China. Particle physics is one of the most
important research fields at IHEP. This presentation will give a brief
introduction to the currently running experiments as well as the experiments
being constructed. With accumulation of experimental data, growing needs of
computing...
Eddie Hing
(Inspur)
7/4/16, 2:00 PM
Денис ШАГЕЕВ
(Niagara)
7/4/16, 2:20 PM
Peter DYAKOV
(Brocade Communications)
7/4/16, 2:40 PM
Plenary reports
Требования к сетям передачи данных исследовательских организаций становятся, в последнее время, всё выше и выше. Растут как требования по полосе пропускания, так и требования по надёжности сетей передачи. Уже сейчас во многих исследовательских сетях объёмы передаваемого трафика данных исчисляются десятками петабайт в год. Как правило научные организации, в которых возникают такие потребности в...
Mr
Sergey Maznichenko
(I-Teco Company)
7/4/16, 3:30 PM
Максим Новиков
(Компания "4-х Стихии"),
Сергей Анпилов
(Компания "4-х Стихии")
7/4/16, 3:50 PM
Дмитрий Юрьевич Соловьев
(IBS Platformix)
7/4/16, 4:10 PM
Sergey Gusarov
(DELL expert)
7/4/16, 4:50 PM
There are a lot of different offerings on SDN landscape these days. We will classify SDN approaches into three major category: control plane, network overlay and networking operating system itself. We will overview each of them, define major pros and cons and look at the use cases
Nikolay Mester
(Intel)
7/4/16, 5:10 PM
Dr
Tatiana Strizh
(JINR)
7/5/16, 8:00 AM
2. Operation, monitoring, optimization in distributed computing systems
Plenary reports
The Tier-1 centre for CMS at JINR is a high-tech platform for computing systems and systems of long-term data storage with high concentration of the network and server equipment. Work on this centre was carried out in the framework of the project "Creation of the automated system of data processing of experiments at the Large Hadron Collider (LHC) of the Tier1 level and provision of...
Dr
Oxana Smirnova
(Lund University)
7/5/16, 9:00 AM
9. Consolidation and integration of distributed resources
Plenary reports
Distributed computing infrastructures have a long history, starting with pools of PCs and clusters three decades ago, briefly passing a stage of HPC Grids, and now converging to fully virtualised facilities. The Nordic Tier-1, prototype of which was launched back in 2003, is a small-scale model of a distributed infrastructure, and thus an interesting case for studying experience and future...
Mr
Mikhail Borodin
(NRNU MEPHI, NRC KI)
7/5/16, 9:30 AM
3. Middleware and services for production-quality infrastructures
Plenary reports
The second generation of the ATLAS production system called ProdSys2 is a distributed workload manager which used by thousands of physicists to analyze the data remotely, with the volume of processed data is beyond the exabyte scale, across a more than hundred heterogeneous sites. It achieves high utilization by combining dynamic job definition based on many criterias, such as input and...
Dr
Andrei Tsaregorodtsev
(CPPM-IN2P3-CNRS)
7/5/16, 10:30 AM
Plenary reports
DIRAC Project is developing software for building distributed computing systems for the
needs of research communities. It provides a complete solution covering both Workload
Management and Data Management tasks of accessing computing and storage resources.
The Data Management subsystem (DMS) of DIRAC includes all the necessary components to organize
distributed data of a given scientific...
Mr
Andrey Kiryanov
(PNPI)
7/5/16, 10:50 AM
10. Databases, Distributed Storage systems, Big data Analytics
Plenary reports
Rapid increase of data volume from the experiments running at the Large Hadron Collider (LHC) prompted national physics groups to evaluate new data handling and processing solutions. Russian grid sites and universities’ clusters scattered over a large area aim at the task of uniting their resources for future productive work, at the same time giving an opportunity to support large physics...
Mr
Ilya Kurochkin
(IITP RAS)
7/5/16, 11:10 AM
7. Desktop grid technologies and volunteer computing
Plenary reports
Results of activity of the Russian Chapter of International Desktop Grid Federation (IDGF) are considered. Including interaction with community of the russian volunteers (crunchers), start new and support of the existing projects of the volunteer distributed computing.
Luca Mascetti
(CERN)
7/5/16, 11:30 AM
Plenary reports
EOS is the high-performance CERN IT distributed storage for High-Energy Physics. Originally used for analysis, it now supports part of the data-taking and reconstruction workflows, notably for the LHC Run2.
EOS currently holds about 200PB of raw disks and takes advantage from its wide-area scheduling capability exploiting both CERN's computing facilities (Geneva-Meyrin and Budapest-Wigner)...
Антон Джораев
(NVIDIA)
7/5/16, 12:00 PM
Mr
Alexandr Mikula
(Institute of Physics of the Czech Academy of Sciences)
7/7/16, 8:00 AM
10. Databases, Distributed Storage systems, Big data Analytics
Plenary reports
Typical WLCG Tier-2 centres use several hundreds of servers with different
services. Manual checks of all log files is impossible and various smart
solutions for monitoring and log file analysis are used. We describe used
procedures in the Computing Centre of the Institute of Physics in Prague,
which hosts Tier-2 centre for ALICE and ATLAS experiments and provides
resources
for several...
Mr
Andrey Zarochentsev
(SPbSU)
7/7/16, 8:20 AM
Plenary reports
Russian sites in processing and storage of ALICE experimental data in the LHC run-2.
The report presents new approaches to the processing and storage of ALICE experimental data during the LHC run-2. Participation and work of Russian sites is discussed. The trends of development of the Russian resource base are presented both for the update of the currently operating sites as for the...
Mr
Vladimir Voloshinov
(Institute for Information Transmission Problems RAS)
7/7/16, 8:40 AM
2. Operation, monitoring, optimization in distributed computing systems
Plenary reports
Optimization models are widely applied in the most different research areas (natural sciences, technology, economy, sociology etc.). But, heterogeneity of available optimization software and computing infrastructure complicates widespread practical usage of this approach. Especially, it is so for small and venture research teams at the beginning phase of work during optimization model fitting...
Dr
Oleg Sukhoroslov
(IITP RAS)
7/7/16, 9:00 AM
9. Consolidation and integration of distributed resources
Plenary reports
The report discusses common problems associated with the automation of scientific computations, as well as promising approaches to solving these problems based on cloud computing models. The considered problems include running computations on HPC resources, integration of multiple computing resources, sharing of computing applications, combined use of mutliple applications and running...
Ms
Grigorieva Maria
(NRC KI)
7/7/16, 9:20 AM
9. Consolidation and integration of distributed resources
Sectional reports
The most common characteristics of large-scale modern scientific experiments are long lifetime, complex experimental infrastructure, sophisticated data analysis and processing tools, peta- and exascale data volume. All stages of an experiment life cycle are accompanied with the auxiliary metadata, required for monitoring, control and scientific results replicability and reproducibility. The...
Tatiana Korchuganova
(National Research Tomsk Polytechnic University)
7/7/16, 9:40 AM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
BigPanDA is the latest generation of the monitoring system for the Production and Distributed Analysis (PanDA) system. The BigPanDA monitor is a core component of PanDA and also serves the monitoring needs of the new ATLAS Production System Prodsys-2. BigPanDA has been developed to serve the growing computation needs of the ATLAS Experiment and the wider applications of PanDA beyond ATLAS....
Mr
Danila Oleynik
(JINR LIT)
7/7/16, 10:30 AM
Plenary reports
The Large Hadron Collider (LHC), operating at the international CERN Laboratory in Geneva, Switzerland, is leading Big Data driven scientific explorations. Experiments at the LHC explore the fundamental nature of matter and the basic forces that shape our universe, and were recently credited for the discovery of a Higgs boson. ATLAS, one of the largest collaborations ever assembled in the...
Dr
Attila Bende
(National Institute for R&D of Isotopic and Molecular Technologies)
7/7/16, 11:00 AM
Prof.
Gheorghe Adam
(JINR)
7/7/16, 11:30 AM
Plenary reports
The overwhelming part of the scientific investigations carried out in the Joint Institute for Nuclear Research (JINR) asks for the solution of a broad spectrum of computing intensive tasks of ever increasing complexity. To cope with such tasks, the Laboratory of Information Technologies (LIT) of the JINR has developed a significant dedicated information-computing infrastructure the evolution...
Dr
Igor Semenov
(ITER Russian Domestic Agency)
7/8/16, 8:30 AM
4. Scientific, industry and business applications in distributed computing systems
Plenary reports
ITER data acquisition and control system consists of CODAC (Control, Data Access and Communication), Plasma control system (PCS), Central Safety System (CSS) and Central Interlock System (CIS). All of them have two tiers of control: global – central supervisor orchestrating the whole plant, and local – subsystem control. Core System (CCS) is the main conventional SCADA system of the ITER...
Mr
andrey shevel
(PNPI, ITMO)
7/8/16, 9:00 AM
10. Databases, Distributed Storage systems, Big data Analytics
Plenary reports
The volume of the coming data in HEP is growing. Also growing volume of the data to be hold long time. Actually large volume of data – big data – is distributed around the planet. In other words now there is situation where the data storage does integrate storage resources from many data centers located far from each other. That means the methods, approaches how to organize, manage the...
Victor Lakhno
(Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences and Acting Head of the Laboratory of Quantum-Mechanical Systems of the IMPB RAS)
7/8/16, 9:20 AM
4. Scientific, industry and business applications in distributed computing systems
Plenary reports
The lecture gives a review of numerical experiments on a charge transfer in DNA. The charge motion is described in terms of quantum mechanics, whereas vibrational degreese of fredom are treated both classically and quantum mechanically. Special attention is given to dynamics of polaron state formation, polaron motion in electric field, Bloch oscillations and breather states.
The dynamics of...
Yury Ivanov
(UTFSM, Valparaiso, Chile)
7/8/16, 9:40 AM
10. Databases, Distributed Storage systems, Big data Analytics
Plenary reports
Starting end of 2006 UTFSM Data Center provides its computational resources for users from UTFSM and other Chilean universities. Since 2009 cluster facilities are also available in the frame of Grid Computing. The range of problems being solved at the cluster is huge: from fundamental and applied problems in different branches of Physics, Chemistry, Astronomy, Computer Science, etc. to the...
Prof.
Sergey Polyakov
(Keldysh Institute of Applied Mathematics)
7/8/16, 10:00 AM
Sectional reports
Reduction of the basic electronic components sizes and their packing density has led to an aggravation of electronic schemes reliability problem. It is connected with the fact that the characteristic sizes of schemes active elements and thicknesses of the lines (interconnections) bringing a current to them became comparable with the defects sizes (for example, the intergranular spaces and...