[en] Nowadays the challenges that arise in the intelligent factory in the concept of the industry 4.0include, the improvement of the quality of the product, as well as, the optimization of the performance of the production plants. The technology of fog computation is presented as a potential solution to the problem of mass production data processing to detect anomalies and act early. These applications are known as distributed context-aware applications, and they react to changes in their environment. In this case, manufacturing. In this project it is proposed to use "cloud" technologies but adapting them to the efficiency requirements of these applications. In cloud environments applications are executed as virtualized components or containers orchestrated in a centralized way.In this project we propose the extension of the architecture of one of the orchestration platforms of the media, which allows scheduling based on the negotiation in a multi agent (MAS) system. The efficiency of the cloud platform in terms of the automation of container management, deployment and scaling, together with decentralized decision making and the autonomy of the MAS systems, form a robust basis for approaching in a near future reconfigurable and efficient manufacturing applications, when anomalies are detected in the production plant. In the memory, it ́s made an analysis of the requirements as a basis for choosing the platform among the existing alternatives. The selected platform is described and the technical specification of the extension of the architecture is presented. To analyze the performance of the developed proposal, there are performed some tests on a processor cluster that represents the fog platform, which has been developed in the GCIS research group of the Bilbao School of Engineering.

[eu] Gaur egun fabrika inteligenteari planteatzen zaizkion erronkak industria 4.0 kontzeptuaren barnean, ondokoak hartzen ditu: produktuaren kalitatearen hobekuntza, baita ekoizpen fabriken errendimenduaren optimizazioa ere. Helburu hauek lortzeko, produkzioaren datu masiboen arazoari aurre egiteko, irtenbide bezala "Fog computing" aurkezten da, irregulartasunak aurkitzeko eta bizkortasunez erantzuteko. Aplikazio hauek, testuniguruari sentikorrak diren banatutako aplikazioak bezala ezagutzen dira, testuinguruko aldakatei erantzuten baitiote. Kasu honetan, produkzio aldaketak. Proiektu honetan "cloud" teknologiak erabiltzea proposatzen da, baina aplikazio hauen eragikonrtasunaren baldintzetara egokituz. "Cloud" testuinguruetan, aplikazioak osagai arin birtualizatu edota era zentralizatuan antolatutako edukiontzi bezala exekutatzen dira.Proiektu honetan antolamendu plataforma baten luzapena proposatzen da. Bertan, bere exekuzioaren planifikazioa negoziazio bitartez emoten da multi agente sistema (MAS) batean oinarritua. "Cloud" plataformen efizientzia, kudeaketaren, hedapenaren eta edukiontzien eskaladoaren automatizazioari dagokionez, erabaki-hartze deszentralizatuari eta MAS sistemen autonomiari lotuta,etorkizunean fabrikazioren berkonfigurazio efizienteak ekinarazteari oinarri sendoak jartzen dizkio, produkzio plantan arazoak detektatzen direnean. Memoria atalean plataformen betekizunen analisi bat aurkezten da, existitzen diren plataformen artean aukeratu ahal izateko. Aukeratutako plataforma describatzen da eta arkitektura luzapenaren espezifikazio teknikoa aurkezten da. Garatutako proposamenaren errendimendua aztertzeko, Bilboko Ingenieritza eskolako GCIS ikerketa taldeak garatutato Fog plataforma errepresentatzen duen prozesadore cluster batean proba batzuk egiten dita.