Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Computing Utilization via Computer Networks

Authors: Aleksander Malinowski; Bogdan M. Wilamowski; Nam Pham;

Computing Utilization via Computer Networks

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.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Upload OA version
Are you the author? Do you have the OA version of this publication?