Dynamically Reconfigurable Architectures

2007 ◽  
Vol 2007 (1) ◽  
pp. 028405
Author(s):  
Neil Bergmann ◽  
Marco Platzner ◽  
Jürgen Teich
Keyword(s):  
Reconfigurable Architectures ◽  
Dynamically Reconfigurable

Dynamically Reconfigurable Architectures

2014 ◽  
pp. 26-43
Author(s):  
Marek Rychly
Keyword(s):  
Ad Hoc ◽  
Reconfigurable Architectures ◽  
Software Systems ◽  
Actual State ◽  
Dynamically Reconfigurable ◽  
Component Models

Dynamic aspects of behavior of software systems in dynamically reconfigurable runtime architectures can result in significant architectural violations during runtime. In such cases, a system's architecture evolves during the runtime according to the actual state of the system's environment, and consequently, runtime reconfigurations may eventually lead to incorrect architecture configurations that were not considered during the system's design phases. These architectural violations are known as architectural erosion or architectural drift, and they contribute to an increasing brittleness of the system, or a lack of its coherence and clarity of its form. This chapter describes and compares possible measures to prevent architectural violations in dynamic service and component models. The aim of this chapter is to evaluate the applicability of those measures in combination with advanced features of reconfigurable runtime architectures such as ad hoc reconfiguration, service or component mobility, composition hierarchy preservation, and architectural aspects.

scholarly journals Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures

2011 ◽  
Vol 2011 ◽  
pp. 1-15
Author(s):  
Ismail Ktata ◽  
Fakhreddine Ghaffari ◽  
Bertrand Granado ◽  
Mohamed Abid
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Reconfigurable Architecture ◽  
Reconfigurable Architectures ◽  
Dynamically Reconfigurable ◽  
Embedded Applications ◽  
Efficient Mechanisms ◽  
Predictive Scheduling ◽  
Vision Application ◽  
Dynamically Reconfigurable Architecture

Applications executed on embedded systems require dynamicity and flexibility according to user and environment needs. Dynamically reconfigurable architecture could satisfy these requirements but needs efficient mechanisms to be managed efficiently. In this paper, we propose a dedicated application modeling technique that helps to establish a predictive scheduling approach to manage a dynamically reconfigurable architecture named OLLAF. OLLAF is designed to support an operating system that deals with complex embedded applications. This model will be used for a predictive scheduling based on an early estimation of our application dynamicity. A vision system of a mobile robot application has been used to validate the presented model and scheduling approach. We have demonstrated that with our modeling we can realize an efficient predictive scheduling on a robot vision application with a mean error of 6.5%.

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