Skip to main content

Abstract

This paper proposes a novel dataflow architecture called DFNET (DataFlow architecture on the interNET), which realizes a scalable dynamic dataflow computer on a packet switching network. A vast amount of research on dataflow computers has been extensively performed during, in particular, 1970s and 1980s as a promising approach for realizing very high-speed computers. In spite of the large amount of expectations, success of dataflow computer researches is quite limited. The objective of this paper is to present the concept of a scalable and extensible dataflow architecture on a packet switching network, which utilizes the abundant resources of a large-scale computer network. In this paper, we introduce the concept of DFNET (DataFlow architecture on the interNET). DFNET is composed of configuration and control methodologies of routers in a packet switching network. The key of DFNET is that a packet switching network is utilized not for end-to-end communication but for dataflow computing. Because of desirable properties of a packet switching network, DFNET has high scalability in terms of the dataflow program size and high robustness against failures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sharp, J.A. (ed.): Dataflow computing: theory and practice. Ablex Publishing Corporation (1992)

    Google Scholar 

  2. Silč, J., Robič, B., Ungerer, T.: Processor architecture: from dataflow to superscalar and beyond. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  3. Dennis, J.B., Misunas, D.P.: A preliminary architecture for a basic dataflow processor. In: Proceedings of the 2nd Annual Symposium on Computer Architecture, pp. 126–132 (1975)

    Google Scholar 

  4. Baker, F.: Requirements for IP version 4 routers. Request for Comments (RFC) 1812 (June 1995)

    Google Scholar 

  5. Lua, E.K., Crowcroft, J., Pias, M., Sharma, R., Lim, S.: A survey and comparison of peer-to-peer overlay network schemes. IEEE Communications Surveys and Tutorials 7, 72–93 (2005)

    Article  Google Scholar 

  6. Bhattacharjee, S., Calvert, K.L., Zegura, E.W.: An architecture for active networking. Tech. Rep., College of Computing, Georgia Institute of Technology, Atlanta, Georgia (1996)

    Google Scholar 

  7. Gostelow, A.K.P., Plouffle, W.: An asynchronous programming language and computing machine. Tech. Rep. 114a, Department of Information and Computer Science, University of California, Irvine, CA (1978)

    Google Scholar 

  8. Gurd, J.R., Watson, I.: A multilayered dataflow computer architecture. In: Proceedings of 7th International Conference on Parallel Processing (August 1977)

    Google Scholar 

  9. Suzuki, H., Ohsaki, H., Sawai, H.: A Network-Based Computational Model with Learning. In: Calude, C.S., Hagiya, M., Morita, K., Rozenberg, G., Timmis, J. (eds.) UC 2010. LNCS, vol. 6079, pp. 193–193. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Suzuki, H., Ohsaki, H., Sawai, H.: Algorithmically Transitive Network: a new computing model that combines artificial chemistry and information-communication engineering. In: Proceedings of the 24th Annual Conference of Japanese Society for Artificial Intelligence (JSAI), pp. 2H1–OS4–5 (2010)

    Google Scholar 

  11. Suzuki, H., Ohsaki, H., Sawai, H.: An agent-based neural computational model with learning. In: Conference Abstract of the 3rd INCF Congress of Neuroinformatics (Neuroinformatics 2010) (2010), doi:10.3389/conf.fnins.2010.13.00021

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Ohsaki, H., Suzuki, H., Sawai, H. (2012). Internet as a Dataflow Computer. In: Suzuki, J., Nakano, T. (eds) Bio-Inspired Models of Network, Information, and Computing Systems. BIONETICS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32615-8_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32615-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32614-1

  • Online ISBN: 978-3-642-32615-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics