Study of Concurrent Queued system for soft real-time purpose: Bioengineering case study


Por: Cárdenas-Flores F., Benítez-Pérez H., García-Nocetti F.

Publicada: 1 ene 2007
Resumen:
Advanced data structures like Concurrent Queues, and Generators are part of the standard distribution of interpreted languages like Python and Java. This kind of structures allows to manipulate information in a predictive manner if temporal behavior is bounded. This strategy can be fit into Soft Real Time (SRT) performance. In here, a study of Queued system based upon an Operating System is presented for Soft Real Time performance. It is important to state that Soft Real Time applications need to be bounded close enough to certain tight response in time. In order to pursuit such a goal queue management is proposed for several processes under concurrent environment. A biomedical engineering case of study is implemented to validate this strategy under two separate operating systems like Mac Os and Linux. This case of study consists of three processes named as capture, computing and display, where a periodic time demand is needed for an efficient performance. © 2007 IEEE.

Filiaciones:
Cárdenas-Flores F.:
 Departamento de Ingeniería de Sistemas Computacionales y Automatización, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Admon. 20 Del. A. Obregon, c.p. 01000, México D.F., Mexico

Benítez-Pérez H.:
 Departamento de Ingeniería de Sistemas Computacionales y Automatización, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Admon. 20 Del. A. Obregon, c.p. 01000, México D.F., Mexico

García-Nocetti F.:
 Departamento de Ingeniería de Sistemas Computacionales y Automatización, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Admon. 20 Del. A. Obregon, c.p. 01000, México D.F., Mexico
ISSN: 0000642P
Tipo de documento: Conference Paper
Volumen: Número:
Páginas: 68-73
WOS Id: 000252026700012