Have a personal or library account? Click to login
Optimizing the Resource Consumption of Blockchain Technology in Business Systems Cover

Optimizing the Resource Consumption of Blockchain Technology in Business Systems

Open Access
|Dec 2020

Abstract

Background

Blockchain technology has gained a great public interest due to the appearance of cryptocurrencies, a digital asset used for exchanging funds. Although blockchain calculations offer the benefits of security and reduced costs, blockchain is still strongly criticised for its lack of usefulness and resource-heavy consumption.

Objectives

The aim of this research is to provide different insights into blockchain technology and to propose NP-complete problems as a suitable alternative to the current consensus algorithm.

Methods/approach

This research discusses the current state of proposed alternatives, projects such as distributed volunteering for scientific purposes and different consensus algorithms within cryptocurrencies but focusing on incorporating NP-complete problems as a secondary, more useful option.

Results

Using the properties of NP-complete problems, it is possible to solve various problems in different areas, such as science, biology, medicine and finance, but also to improve business processes, optimize markets, payments and supply chains while decreasing environmental costs.

Conclusions

This paper shows that the alternative mechanisms are being developed and used to substitute an existing Blockchain algorithm with a more efficient one. It also suggests further investigation in this area because the alternatives greatly improve blockchain’s usability and efficiency.

DOI: https://doi.org/10.2478/bsrj-2020-0028 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 78 - 92
Submitted on: Dec 15, 2019
Accepted on: Apr 19, 2020
Published on: Dec 3, 2020
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2020 Vedran Juričić, Matea Radošević, Ena Fuzul, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.