Towards a Quality-of-Thing based approach for assigning things to federations

Autor: Fadwa Yahya, Djamal Benslimane, Khouloud Boukadi, Emir Ugljanin, Muhammad Asim, Thar Baker, Saad Saeed, Zakaria Maamar, Ikbel Guidara
Přispěvatelé: Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Cluster Computing
Cluster Computing, Springer Verlag, 2020, 23 (3), pp.1589-1602. ⟨10.1007/s10586-020-03047-9⟩
ISSN: 1386-7857
1573-7543
Popis: In the context of an Internet-of-Things (IoT) ecosystem, this paper discusses two necessary stages for managing federations of things. The first stage defines things in terms of duties and non-functional properties that define the quality of these duties. And, the second stage uses these properties to assign appropriate things to future federations. Specialized into ad hoc and planned, federations are expected to satisfy needs and requirements of real-life situations like traffic control that arise at run-time. A set of experiments using a mix of real and simulated datasets, demonstrate the technical doability of thing assignment to federations and are presented in the paper, as well.
Databáze: OpenAIRE