The Forging of Autonomic and Cooperating Digital Twins

Autor:	Norha M. Villegas, Hausi A. Müller, Luis F. Rivera, Miguel Jiménez, Gabriel Tamura
Rok vydání:	2022
Předmět:	Process management Computer Networks and Communications Computer science Process (engineering) media_common.quotation_subject Convergence (relationship) Metaverse Autonomy media_common
Zdroj:	IEEE Internet Computing. 26:41-49
ISSN:	1941-0131 1089-7801
DOI:	10.1109/mic.2021.3051902
Popis:	Digital twins (DTs) will enable the long-anticipated convergence between physical and virtual worlds. This convergence will augment traditional physically-bound operations and services with new virtually-bound capabilities, disrupting multiple application domains in the process. Nevertheless, achieving this point will demand DTs with increased autonomy and enhanced ability to monitor, reason about, and react upon relevant phenomena occurring in the physical world. Ultimately, these capabilities will enable DTs to cooperate and capitalize on their interactions, allowing organizations to generate value from their implementation. This article discusses pivotal research advances toward the realization of autonomic and cooperative DTs. We elaborate on fundamental technical considerations of advanced and robust DTs by describing a reference framework that enables increased autonomy and enhanced cooperation. Then, we identify opportunities for further research to pave the road for challenges and future developments toward achieving autonomic and cooperating DTs in diverse contexts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0c7ffde2440fe6e8b027857238f0c14b https://doi.org/10.1109/mic.2021.3051902 Zobrazit plný text záznamu