A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126307" target="_blank" >RIV/00216224:14330/22:00126307 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9977445" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9977445</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSME55016.2022.00040" target="_blank" >10.1109/ICSME55016.2022.00040</a>
Alternative languages
Result language
angličtina
Original language name
A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures
Original language description
Recently, microservices have been examined as a solution for reshaping and improving the flexibility, scalability, and maintainability of critical infrastructure systems. However, microservice systems are also suffering from the presence of a substantial number of potentially vulnerable components that may threaten the protection of critical infrastructures. To address the problem, this paper proposes to leverage the concept of antifragility built in a framework for building self-learning microservice systems that could be strengthened by faults and threats instead of being deteriorated by them. To illustrate the approach, we instantiate the proposed approach of autonomous machine learning through an experimental evaluation on a benchmarking dataset of microservice faults.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 38th IEEE International Conference on Software Maintenance and Evolution
ISBN
9781665479561
ISSN
1063-6773
e-ISSN
2576-3148
Number of pages
5
Pages from-to
364-368
Publisher name
IEEE
Place of publication
New York, USA
Event location
New York, USA
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000908031000032