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Towards Dynamic Task Scheduling and Reconfiguration using an Aspect Oriented Approach applied on Real-time concerns of Industrial Systems
Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES). Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.ORCID-id: 0000-0003-4655-8889
Electrical Engineering Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).
2009 (Engelska)Ingår i: Elsevier IFAC Publications / IFAC Proceedings series, ISSN 1474-6670, Vol. 13, nr PART 1, s. 1423-1428Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

High performance computational platforms are required by industries that make use of automatic methods to manage modern machines, which are mostly controlled by high-performance specific hardware with processing capabilities. It usually works together with CPUs, forming a powerful execution platform. On an industrial production line, distinct tasks can be assigned to be processed by different machines depending on certain conditions and production parameters. However, these conditions can change at run-time influenced mainly by machine failure and maintenance, priorities changes, and possible new better task distribution. Therefore, self-adaptive computing is a potential paradigm as it can provide flexibility to explore the machine resources and improve performance on different execution scenarios of the production line. One approach is to explore scheduling and run-time task migration among machines’ hardware towards a balancing of tasks, aiming performance and production gain. This way, the monitoring of time requirements and its crosscutting behaviour play an important role for task (re)allocation decisions. This paper introduces the use of software aspect-oriented paradigms to perform machines’ monitoring and a self-rescheduling strategy of tasks to address nonfunctional timing constraints. As case study, tasks for a production line of aluminium ingots are designed. © 2009 IFAC.

Ort, förlag, år, upplaga, sidor
Frankfurt: Elsevier, 2009. Vol. 13, nr PART 1, s. 1423-1428
Nyckelord [en]
distributed systems, task scheduling/reconfiguration, aspect orientation, software engineering
Nationell ämneskategori
Inbäddad systemteknik
Identifikatorer
URN: urn:nbn:se:hh:diva-37561DOI: 10.3182/20090603-3-RU-2001.0465Scopus ID: 2-s2.0-79960897664OAI: oai:DiVA.org:hh-37561DiVA, id: diva2:1232823
Konferens
13th IFAC Symposium on Information Control Problems in Manufacturing (INCOM'09), Moscow, Russian Federation, 3-5 June, 2009
Tillgänglig från: 2018-07-12 Skapad: 2018-07-12 Senast uppdaterad: 2018-07-12Bibliografiskt granskad

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