Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136646" target="_blank" >RIV/00216305:26220/20:PU136646 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/1424-8220/20/12/3358" target="_blank" >https://www.mdpi.com/1424-8220/20/12/3358</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s20123358" target="_blank" >10.3390/s20123358</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective
Popis výsledku v původním jazyce
The present increase of attention toward blockchain-based systems is currently reaching a tipping point with the corporate focus shifting from exploring the technology potential to creating Distributed Ledger Technology (DLT)-based systems. In light of a significant number of already existing blockchain applications driven by the Internet of Things (IoT) evolution, the developers are still facing a lack of tools and instruments for appropriate and efficient performance evaluation and behavior observation of different blockchain architectures. This paper aims at providing a systematic review of current blockchain evaluation approaches and at identifying the corresponding utilization challenges and limitations. First, we outline the main metrics related to the blockchain evaluation. Second, we propose the blockchain modeling and analysis classification based on the critical literature review. Third, we extend the review with publicly accessible industrial tools. Next, we analyze the selected results for each of the proposed classes and outline the corresponding limitations. Finally, we identify current challenges of the blockchain analysis from the system evaluation perspective, as well as provide future perspectives.
Název v anglickém jazyce
Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective
Popis výsledku anglicky
The present increase of attention toward blockchain-based systems is currently reaching a tipping point with the corporate focus shifting from exploring the technology potential to creating Distributed Ledger Technology (DLT)-based systems. In light of a significant number of already existing blockchain applications driven by the Internet of Things (IoT) evolution, the developers are still facing a lack of tools and instruments for appropriate and efficient performance evaluation and behavior observation of different blockchain architectures. This paper aims at providing a systematic review of current blockchain evaluation approaches and at identifying the corresponding utilization challenges and limitations. First, we outline the main metrics related to the blockchain evaluation. Second, we propose the blockchain modeling and analysis classification based on the critical literature review. Third, we extend the review with publicly accessible industrial tools. Next, we analyze the selected results for each of the proposed classes and outline the corresponding limitations. Finally, we identify current challenges of the blockchain analysis from the system evaluation perspective, as well as provide future perspectives.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20203 - Telecommunications
Návaznosti výsledku
Projekt
<a href="/cs/project/TK02030013" target="_blank" >TK02030013: Kyber-fyzikální dvojče městské infrastruktury zítřka</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Svazek periodika
20
Číslo periodika v rámci svazku
12
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
20
Strana od-do
1-20
Kód UT WoS článku
000553941300001
EID výsledku v databázi Scopus
—