Advertisement

Computing Utilization via Computer Networks

  • N. Pham
  • B. M. Wilamowski
  • A. Malinowski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 98)

Abstract

The dramatic growth of Internet and network technologies, etc leads to different perspectives of computing methodologies as well as changes of software business model. If the traditional business model for software is one-time payment for a license for one machine with unlimited use, the development of Internet and network technologies, etc makes it possible for users to pay on their consumption as they pay for water, gas and electricity. With advanced technology all computing and storing process can be centralized on the infrastructure of service providers. With this new model, users don’t have to concern about deploying their infrastructure, security, etc which will be responsible by service providers. This new trend grows extremely fast in last couple years and attracts a lot of researches from scholars such as Grid Computing model, Client Server model and especially Cloud Computing model with its scalability. In this paper we do not analyze differences between these utility computing models and what model will be the main field in the future. Instead we present how to use computer networks as a mean of computing and simulation and how computer networks are considered as a solution to boost technology development. Two software applications through computer networks were developed and applied successfully in teaching and learning courses in Auburn University and Bradley University are presented in this paper. It is a typical example of enhanced interaction between human and CAD tools while computer networks play a role as a human system interface.

Keywords

Computer Network Server Side Client Side Network Computing Computing Utilization 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [Arano et al. 1996]
    Arano, T., Aoyama, M.: Emerging technologies for network software development: past, present, future. In: Computer Software and Applications Conf., p. 428 (1996)Google Scholar
  2. [Cameron and Murray 2008]
    Cameron, K., Murray, A.: Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation. IEEE Trans. on Neural Networks 19(5), 899–913 (2008)CrossRefGoogle Scholar
  3. [Hao and Wilamowski 2009]
    Yu, H., Wilamowski, B.M.: Efficient and Reliable Training of Neural Networks. In: Proc of IEEE Human System Int. Conf., Catania, Italy, pp. 109–115 (2009)Google Scholar
  4. [Indiveri et al. 2006]
    Indiveri, G., Chicca, E., Douglas, R.: A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Trans. on Neural Networks 17(1), 211–221 (2006)CrossRefGoogle Scholar
  5. [Juan et al. 2007]
    Juan, A.A., Faulin, J., Marques, J.M., Sorroche, M.: -SAEDES: A java-based simulation software to improve reliability and availability of computer systems and networks. In: Simulation Conference, pp. 2285–2292 (2007)Google Scholar
  6. [Logethran et al. 1998]
    Logethran, A., Pratiwadi, R., Logenthiran, D., Porebski, A., Thomas, D.W.: Software migration of telecommunication network management systems to the Web using CORBA and Java System Sciences. In: Proc. of the Thirty-First Hawaii Int Conf., Kohala Coast, HI, pp. 637–644 (1998)Google Scholar
  7. [Malinowski and Wilamowski 2000]
    Malinowski, A., Wilamowski, B.M.: Web-based C++ compilers. In: ASEE, Annual Conference, St. Louis, MO, CD-ROM session 2532 (2000)Google Scholar
  8. [Malinowski and Wilamowski 2001]
    Malinowski, A., Wilamowski, B.M.: Internet technology as a tool for solving engineering problems. In: The 27th Annual Conf. of the IEEE Industrial Electronics Society (tutorial), Denver CO, pp. 1622–1630 (2001)Google Scholar
  9. [Manic et al. 2002]
    Manic, M., Wilamowski, B.M., Malinowski, A.: Internet based neural network online simulation tool. In: Proc. of the 28th Annual Conf. of the IEEE Industrial Electronics Society, Sevilla, Spain, pp. 2870–2874 (2002)Google Scholar
  10. [Ruhmelhart et al. 1986]
    Ruhmelhart, D.E., Hinton, G.E., Wiliams, R.J.: Learning representations by back-propagation errors. Nature 323, 533–536 (1986)CrossRefGoogle Scholar
  11. [Wilamowski and Malinowski 2001]
    Wilamowski, B.M., Malinowski, A.: Paper collection and evaluation through the internet. In: Proc. of the 27th Annual Conf. of the IEEE Industrial Electronics Society, Denver CO, pp. 1868–1873 (2001)Google Scholar
  12. [Wilamowski et al. 1998]
    Wilamowski, B.M., Regnier, J., Malinowski, A.: SIP- spice intranet package. In: IEEE Int. Conf. on Industrial Electronics, 192–195 (1998)Google Scholar
  13. [Wilamowski et al. 2000]
    Wilamowski, B.M., Malinowski, A., Regnier, J.: SPICE based circuit analysis using web pages. In: ASEE 2000 Annual Conf., St. Louis, MO (CD-ROM session 2520, 2000) Google Scholar
  14. [WWW 2002]
    Stuttgart Neural Network Simulator (May 2002), http://www-ra.informatik.uni-tuebingen.de/SNNS/ (accessed April 10, 2010)

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • N. Pham
    • 1
  • B. M. Wilamowski
    • 1
  • A. Malinowski
    • 2
  1. 1.Electrical and Computer EngineeringAuburn UniversityAlabamaUSA
  2. 2.Electrical and Computer EngineeringBradley UniversityPeoria IllinoisUSA

Personalised recommendations