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Ubiquitous Access to Wide-Area High-Performance Computing

  • Frank Burchert
  • Stephan Gatzka
  • Christian Hochberger
  • Chang-Kun Lee
  • Ulrike Lucke
  • Djamshid Tavangarian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2299)

Abstract

Existing architectures for wide-area high-performance computing often suffer from their inefficient access mechanisms. Especially due to the challenge of ubiquitous computing, flexible access to those infrastructures is needed. Different possibilities to fulfil these requirements are discussed in this paper. Starting with the Hypercomputer as a Java-based architecture for wide-area high-performance computing, access mechanisms for web computing as well as mobile computing are presented. With the Home@Globe system, interactive applications on distributed servers can be run using a web browser. Also, using the Kertasarie VM, resource constrained client devices can be integrated into the system. The successful integration of these four mechanisms is explained by means of an application scenario from the field of agricultural science.

Keywords

Virtual Machine Java Virtual Machine Application Service Provide Remote Method Invocation Desktop System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Weiser, M. The Computer for the Twenty-First Century. Scientific American, September 1991.Google Scholar
  2. 2.
    Tavangarian, D.; Eschholz, P.; Koch, M.; Pitz, C.; Preuβ, St. Hypercomputing: A Concept for a Network-based Computer Architecture. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), CSREA Press, Las Vegas (USA), July 1998.Google Scholar
  3. 3.
    Tavangarian, D.; Lucke, U.; Lucke, Th.: "Hypercomputing: Ein verteiltes System zur Bearbeitung von DV-Problemen in Weitverkehrsnetzen", final project report, University of Rostock, 2001.Google Scholar
  4. 4.
    Kaplan, J.A. et.al. A Comparison of Queueing, Cluster and Distributed Computing Systems. NASA Langley Research Center, June 1994.Google Scholar
  5. 5.
    Monien, B. Jahresbericht des Forschungsverbundes NRW-Metacomputing’ Verteiltes Höchstleistungsrechnen’ für das Jahr 1997. University of Paderborn (Germany), March 1998.Google Scholar
  6. 6.
    Foster, I.; Kesselman, C. The Grid-Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, Inc., San Francisco 1999.Google Scholar
  7. 7.
    Ungerer, Th. Parallelrechner und parallele Programmierung. Spektrum Verlag, Berlin (Germany), 1997.zbMATHGoogle Scholar
  8. 8.
    Tavangarian, D.; Kleinau, U.; Schulz, J. Eine Architektur für Hochleistungs-Datenverarbeitung in Weitverkehrs Workstation Netzwerken. In: Proceedings of the German Conference on Architecture of Computing Systems (ARCS’99), VDE Verlag, Berlin (Germany), October 1999.Google Scholar
  9. 9.
    Lee, Ch.-K.; Hochberger, Chr.; Tavangarian, D. Application Service Providing for Distributed High-Performance Computing. In: Proceedings of the International Conference on High Performance Computing Systems and Applications (HPCS 2001), Kluwer Academic Press, Dordrecht (Netherlands), June 2001.Google Scholar
  10. 10.
    Lee, Ch.-K.; Hochberger, Chr.; Tavangarian, D. Home@Globe: Integration of Distributed High-Performance Computing into Application Service Providing. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2001), CSREA Press, Las Vegas (USA), June 2001.Google Scholar
  11. 17.
    Burchert, Fr.; Gatzka, St.; Geithner, Th.; Hochberger, Chr.; Kopp, H.; Tavangarian, D. Providing Java Based Middleware for PalmOS Devices. To appear in: Proceedings of the International ITEA Workshop on Virtual Home Environments, 2002.Google Scholar
  12. 21.
    Breg, F.; Diwan, Shr.; Villacis, J.; Balasubramanian, J.; Akman, E.; Gannon, D. Java RMI Performance and Object Model Interoperability: Experiments with Java/ HPC++. In: Proceedings of the Workshop on Java for High Performance Network Computing, Palo Alto (California), 1998.Google Scholar
  13. 22.
    Nester, Chr.; Philippsen, M.; Haumacher, B. Effizientes RMI für Java. In: Proceedings of the conference JIT 99, Springer, Berlin (Germany), 1999.Google Scholar
  14. 24.
    Gatzka, St.; Hochberger, Chr.; Kopp, H. Deployment of Middleware in Resource Constrained Embedded Systems. In: Proceedings of the Workshop on Pervasive computing and information logistics, GI/OCG conference, Vienna (Austria), September 2001.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Frank Burchert
    • 1
  • Stephan Gatzka
    • 1
  • Christian Hochberger
    • 1
  • Chang-Kun Lee
    • 1
  • Ulrike Lucke
    • 1
  • Djamshid Tavangarian
    • 1
  1. 1.Department of Computer Science Chair of Computer ArchitectureUniversity of RostockRostockGermany

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