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Integrating multicore awareness functions into distribution middleware for improving performance of distributed audio surveillance

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Integrating multicore awareness functions into distribution middleware for improving performance of distributed audio surveillance

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dc.contributor.author Garcia Valls, Maria Soledad es_ES
dc.date.accessioned 2020-11-25T04:31:36Z
dc.date.available 2020-11-25T04:31:36Z
dc.date.issued 2019-06 es_ES
dc.identifier.uri http://hdl.handle.net/10251/155703
dc.description.abstract [EN] This paper describes an approach to improve the performance of the distributed audio-processing functions for audio surveillance systems. In order to increase portability, current distributed audio-processing uses the default capacities offered by the underlying scheduling facilities of the operating system. In this approach, a set of capacities are added to the distribution software that enable the reduction of the distributed processing time of audio frames at the server side by adding functions that utilize the underlying hardware resources including exclusive core reservation. By loosing some generality in the design of the distribution software, it is possible to increase performance and provide better isolation to selected audio tasks in the presence of other competing software tasks. The approach is designed and implemented as well as analyzed on general purpose computers with a server-client architecture using serial scheduling of the audio tasks and parallelizing the digital signal processing computations. The proposed solution is implemented and analyzed showing benefits in performance and robustness over single threaded audio processing. The resulting system is significantly more robust in the presence of other competing software tasks (noise). These results directly yield the possibility to manage more concurrent audio streams at the server side. es_ES
dc.description.sponsorship This work has been partly funded by the Spanish Ministry of Economy and Competitiveness under grant TIN2017-86520-C3-2-R (Predictable and trustable computer systems for Industry 4.0). I wish to acknowledge the work of Antonio Pastor in the programming of the experiments and data gathering. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier Applied Science. es_ES
dc.relation.ispartof Advances in Engineering Software (Online) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Middleware es_ES
dc.subject Multicore es_ES
dc.subject Real-time es_ES
dc.subject Software es_ES
dc.subject Software design es_ES
dc.subject Timeliness es_ES
dc.subject Performance es_ES
dc.subject Distribution middleware design es_ES
dc.subject Audio processing es_ES
dc.subject Multicore awareness es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Integrating multicore awareness functions into distribution middleware for improving performance of distributed audio surveillance es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.advengsoft.2019.01.003 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86520-C3-2-R/ES/SISTEMAS INFORMATICOS PREDECIBLES Y CONFIABLES PARA LA INDUSTRIA 4.0/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Garcia Valls, MS. (2019). Integrating multicore awareness functions into distribution middleware for improving performance of distributed audio surveillance. Advances in Engineering Software (Online). 132:92-100. https://doi.org/10.1016/j.advengsoft.2019.01.003 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://dx.doi.org/10.1016/j.advengsoft.2019.01.003 es_ES
dc.description.upvformatpinicio 92 es_ES
dc.description.upvformatpfin 100 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 132 es_ES
dc.identifier.eissn 1873-5339 es_ES
dc.relation.pasarela S\382190 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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