Big Data-based Solutions for Sustainable Digital Services: Evaluation of Research Methods
63rd International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2152487
ABSTRACT
Modern information technology infrastructure is highly complex, and its monitoring requires the integration of different monitoring tools and management systems. This is especially important for businesses that must be able to provide their digital services in crisis situations, such as the COVID-19 pandemic. This paper identifies research methods suitable to evaluate algorithms for integrated processing of graphs and vertex metrics in data streams. They are identified by means of a literature review. The research finding will serve as an input for further research activities on methods and technological solutions that enable the creation of resilient digital services that are able to adapt to changing contexts and crises, combining big data analysis, knowledge management, business data, and knowledge ecosystems. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
63rd International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2022
Year:
2022
Document Type:
Article
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