Search for dissertations about: "Dynamic Reconfiguration"

Showing result 16 - 20 of 34 swedish dissertations containing the words Dynamic Reconfiguration.

  1. 16. Bio-Inspired Self-Organising Architecture for Cyber-Physical Manufacturing Systems

    Author : João Dias-Ferreira; Mauro Onori; Luis Ribeiro; Paulo Leitão; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bio-inspired production systems; Self-organisation; Cyber-physical production systems; Industrial Information and Control Systems; Industriella informations- och styrsystem; Production Engineering; Industriell produktion;

    Abstract : The refinement in consumer's requirements and the fast paced development of socio-technical systems, are promoting, increasingly globalized markets with a high demand for fast time-to-market, sustainable, high quality and highly customized, or even personalized, low priced products. This new reality is forcing companies to change and adapt their business strategies, so that they can quickly and efficiently engage in short-window business opportunities. READ MORE

  2. 17. Programming of coarse-grained reconfigurable architectures

    Author : Zain Ul-Abdin; Bertil Svensson; Veronica Gaspes; Dag Stranneby; Mario Porrmann; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TECHNOLOGY; TEKNIKVETENSKAP; Computer science; Datavetenskap; Datalogi; Computer and Systems Science;

    Abstract : Coarse-grained reconfigurable architectures, which offer massive parallelism coupled with the capability of undergoing run-time reconfiguration, are gaining attention in order to meet not only the increased computational demands of high-performance embedded systems, but also to fulfill the need of adaptability to functional requirements of the application. This thesis focuses on the programming aspects of such coarse-grained reconfigurable computing devices, including the relevant computation models that are capable of exposing different kinds of parallelism inherent in the application and the ability of these models to capture the adaptability requirements of the application. READ MORE

  3. 18. Enabling and Achieving Self-Management for Large Scale Distributed Systems : Platform and Design Methodology for Self-Management

    Author : Ahmad Al-Shishtawy; Vladimir Vlassov; Seif Haridi; Peter Van Roy; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Autonomic Computing; Self-Management; Distributed Systems; Computer science; Datavetenskap;

    Abstract : Autonomic computing is a paradigm that aims at reducing administrative overhead by using autonomic managers to make applications self-managing. To better deal with large-scale dynamic environments; and to improve scalability, robustness, and performance; we advocate for distribution of management functions among several cooperative autonomic managers that coordinate their activities in order to achieve management objectives. READ MORE

  4. 19. Enhancing Model-Based Development of Embedded Systems : Modeling, Simulation and Model-Transformation in an Auotmotive Context

    Author : Tahir Naseer Qureshi; Martin Törngren; De-Jiu Chen; Ramin Tavakoli Kolagari; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : The increased usage of embedded computer systems in products like automobiles has not only introduced new innovations, additional safety and comfort but also increased the product and development complexity. Several model-based development (MBD) approaches have been proposed to support the management of such complexity. READ MORE

  5. 20. Compiling Concurrent Programs for Manycores

    Author : Essayas Gebrewahid; Bertil Svensson; Veronica Gaspes; Zain Ul-Abdin; Johan Eker; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : The arrival of manycore systems enforces new approaches for developing applications in order to exploit the available hardware resources. Developing applications for manycores requires programmers to partition the application into subtasks, consider the dependence between the subtasks, understand the underlying hardware and select an appropriate programming model. READ MORE