Hi-speed USB based middleware for integration of real-time systems with the cloud
PBN-AR
Instytucja
Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
International Journal of Distributed Sensor Networks
ISSN
1550-1329
EISSN
1550-1477
Wydawca
Hindawi Publishing Corporation
Rok publikacji
2016
Numer zeszytu
2415016
Strony od-do
1--10
Numer tomu
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
0.71
Autorzy
(liczba autorów: 3)
Pozostali autorzy
+ 2
Streszczenia
Język
EN
Treść
An important aspect of realizations of the Internet of Things containing sophisticated sensors and actuators is their integration with the Cloud, by the use of a middleware. This integration results in handling streams of data produced by sensors as well as streams sent back to actuators. In cases for which both large streams and a short reaction time are required, a special real-time oriented approach is necessary to design and build an interconnecting middleware. This paper proposes a hybrid low-cost, low-power middleware architecture for handling and processing of sensor related data streams. It is based on two microprocessor boards interconnected by high speed USB link. Variants including three embedded hardware implementations of the proposed architecture, two software realizations (single and multithread ones), and two process scheduling algorithms have been examined to evaluate their real-time performances. Series of experiments have been performed in order to measure closed loop control times and sensor data streams achievable in practice. An outcome is presented and discussed in detail. Obtained results confirm that the proposed architecture can be applied as middleware to integrate such elements of Internet of Things as robots and similarly time-constrained systems with the Cloud. The results can serve as reference point in research and development of real-time middleware solutions.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:096835
CrossrefMetadata from Crossref logo
Cytowania
Liczba prac cytujących tę pracę
Brak danych
Referencje
Liczba prac cytowanych przez tę pracę
Brak danych