On the Use of Federal Scientific Telecommunication Infrastructure for High Performance Computing

Authors

  • Gennadiy I. Savin Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)
  • Boris M. Shabanov Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)
  • Anton V. Baranov Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)
  • Aleksey P. Ovsiannikov Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)
  • Andrey A. Gonchar Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)

DOI:

https://doi.org/10.14529/cmse200102

Keywords:

national science and education network, supercomputer center, shared research facilities, distributed computing, telecommunications infrastructure

Abstract

The article is devoted to the prospects for the development of scientific telecommunications infrastructure based on the new generation national research computer network (NRCN), formed by the integration of departmental scientific and educational networks RUNNet and RASNet. The new network\prime  capabilities for combining supercomputer resources and providing barrier-free access to them are shown. Based on the generalized world experience, it has been shown that supercomputer infrastructures have special requirements for a telecommunication network for data transmission and the presence of a number of additional services. These requirements go far beyond the services of commercial telecom providers and, as a rule, can only be satisfied by the combined efforts of national scientific and educational networks.

The key elements of the federal telecommunications infrastructure necessary for combining high-performance computing resources are considered: high-performance communication channels with a specified quality of service, their automatic allocation on demand and on schedule, trusted network environment, federated authentication and authorization, reliability and security, end-to-end monitoring of the data transmission path between end users. Based on the analysis of the life cycle of the supercomputer job migrating at the distributed network, the requirements for the NRCN telecommunications infrastructure and services based on it are formulated.

 

Author Biographies

Gennadiy I. Savin, Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)

Scientific director of JSCC RAS

Boris M. Shabanov, Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)

Director of JSCC RAS

Anton V. Baranov, Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)

Leader researcher of JSCC RAS

Aleksey P. Ovsiannikov, Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)

Leader researcher of JSCC RAS

Andrey A. Gonchar, Joint SuperComputer Center of the Russian Academy of Sciences – Branch of Federal State Institution "Scientific Research Institute for System Analysis of the Russian Academy of Sciences" (JSCC RAS)

Leader researcher of JSCC RAS

References

Fortov V.Е., Savin G.I., Levin V.K., Zabrodin A.V., Shabanov B.M. Creation and application of a high-performance computing system based on high-speed network technologies. Journal of Information Technologies and Computing. 2002. no. 1. P. 3. (in Russian)

Deutschen Forschungsnetz. Available at: https://www.dfn.de/ (accessed: 21.08.2019).

CANARIE. Available at: https://www.canarie.ca/ (accessed: 21.08.2019).

Internet2. Available at: https://www.internet2.edu/ (accessed: 21.08.2019).

SURFnet. Available at: https://www.surf.nl/en (accessed: 21.08.2019).

AARNET. Available at: https://www.aarnet.edu.au/ (accessed: 21.08.2019).

China Educational and Research Network. Available at: http://www.edu.cn/english/ (accessed: 21.08.2019).

NORDUnet. Nordic gateway for Research and Education. Available at: https://www.nordu.net/ (accessed: 21.08.2019).

G´EANT. Available at: https://www.geant.org/ (accessed: 21.08.2019).

Asi@Connect. Available at: http://www.tein.asia (accessed: 21.08.2019).

Asia Pacific Advanced Network. Available at: https://apan.net/ (accessed: 21.08.2019).

RedCLARA. Latin American Cooperation of Advanced Networks. Available at: https://www.redclara.net/ (accessed: 21.08.2019).

AfricaConnect2. Available at: https://www.africaconnect2.net/ (accessed: 21.08.2019).

Catlett C. The philosophy of TeraGrid: building an open, extensible, distributed TeraScale facility. Cluster Computing and the Grid 2nd IEEE/ACM International Symposium (CCGRID 2002). 2002. DOI: 10.1109/CCGRID.2002.1017101.

XSEDE — The Extreme Science and Engineering Discovery Environment. Available at: https://www.xsede.org/ (accessed: 21.08.2019).

Bassini S., Cavazonni C., Gheller C. European actions for High-Performance Computing: PRACE, DEISA and HPC-Europa. Il Nuovo Cimento C. 2009. Vol. 32. P. 93–97.

PRACE — Partnetship for Advanced Computing in Europe. Available at: http://www.prace-ri.eu/ (accessed: 21.08.2019).

Matsuoka S., Shimojo S., Aoyagi M., Sekiguchi S., Usami H., Miura K. Japanese Computational Grid Research Project: NAREGI. Proceedings of the IEEE. 2005. Vol. 93, no. 3. P. 522–533. DOI: 10.1109/JPROC.2004.842748.

PRACE: Europe’s supercomputing infrastructure relies on G´EANT. Available at: https://impact.geant.org/portfolio/prace/ (accessed: 21.08.2019).

MD-VPN Product Description. Available at: https://wiki.geant.org/display/PLMTES/MD-VPN+Product+Description (accessed: 21.08.2019).

XSEDE System Requirements Specification v3.1. Available at: http://hdl.handle.net/2142/45102 (accessed: 21.08.2019).

Shabanov B., Ovsiannikov A., Baranov A., Leshchev S., Dolgov B., Derbyshev D. The distributed network of the supercomputer centers for collaborative research. Program systems: Theory and applications. 2017. no. 8:4(35). P. 245–262. (in Russian) DOI: 10.25209/2079-3316-2017-8-4-245-262.

Shabanov B.M., Telegin P.N., Ovsyannikov A.P., Baranov A.V., Tikhomirov A.I., Lyakhovets D.S. The Jobs Management System for the Distributed Network of the Supercomputer Centers. The Proceeding of the Scientific Research Institute for System Analysis of the Russian Academy of Sciences. 2018. Vol. 8, no. 6. P. 65–73. (in Russian) DOI: 10.25682/NIISI.2018.6.0009.

Baranov A.V., Tikhomirov A.I. Methods and Tools for Organizing the Global Job Queue in the Geographically Distributed Computing System. Bulletin of the South Ural State University. Series: Computational Mathematics and Software Engineering. 2017. Vol. 6, no. 4. P. 28–42. (in Russian) DOI: 10.14529/cmse170403.

Shabanov B.M., Telegin P.N., Baranov A.V., Semenov D.V., Chuvaev A.V. Dynamic Configurator for Virtual Distributed Computing Environment. Software Journal: Theory and Applications. 2017. no. 4. (in Russian) DOI: 10.15827/2311-6749.25.272.

Baranov A.V., Savin G.I., Shabanov B.M. et al. Methods of Jobs Containerization for Supercomputer Workload Managers. Lobachevskii Journal of Mathematics. 2019. Vol. 40, no. 5. P. 525–534. DOI: 10.1134/S1995080219050020.

Shabanov B.M., Samovarov O.I. Building the Software Defined Data Center. Proceedings of the Institute for System Programming. 2018. Vol. 30, no. 6. P. 7–24. (in Russian) DOI: 10.15514/ISPRAS-2018-30(6)-1.

Baranov A., Telegin P., Tikhomirov A. Comparison of Auction Methods for Job Scheduling with Absolute Priorities. In: Malyshkin V. (eds) Parallel Computing Technologies (PaCT 2017). Lecture Notes in Computer Science. 2017. Vol. 10421. P. 387–395. DOI: 10.1007/978-3-319-62932-2_37.

Ovsyannikov A.P., Savin G.I., Shabanov B.M. Identity federation of the research and educational networks. Software & Systems. 2012. no. 4. P. 3–7. (in Russian)

Baranov A.V., Shabanov B.M., Ovsyannikov A.P. Federative Identity for the Distributed Infrastructure of the Supercomputer Centers. The Proceeding of the Scientific Research Institute for System Analysis of the Russian Academy of Sciences. 2018. Vol. 8, no. 6. P. 79–83. (in Russian) DOI: 10.25682/NIISI.2018.6.0011.

Koulouzis S., Belloum A., Bubak M., Lamata P., Nolte D., Vasyunin D., de Laat C. Distributed Data Management Service for VPH Applications. IEEE Internet Computing. 2016. Vol. 20, no. 2. P. 34–41. DOI: 10.1109/MIC.2015.71.

Kapadia A., Varma S., Rajana K. Implementing Cloud Storage with OpenStack Swift. Packt Publishing, 2014. 105 p.

Jones M. Anatomy of a cloud storage infrastructure. Models, features, and internals. 2010. Available at: https://developer.ibm.com/articles/cl-cloudstorage/ (accessed: 21.08.2019).

Baranov A.V., Derbyshev D.Yu., Dolgov B.V., Leshchev S.A., Ovsyannikov A.P., Shabanov B.M., Vershinin D.V. Effective usage of the link between geographically distributed supercomputer centers. The Proceeding of the Scientific Research Institute for System Analysis of the Russian Academy of Sciences. 2017. Vol. 7, no. 4. P. 137–142. (in Russian)

Hanemann A. et al. PerfSONAR: A Service Oriented Architecture for Multi-domain Network Monitoring. Lecture Notes in Computer Science. 2005. Vol. 3826. P. 241–254. DOI: 10.1007/11596141_19.

Published

2020-02-29

Issue

Section

Informatics, Computers and Control