Hardware Support for QoS-based Function Allocation in Reconfigurable Systems
Michael Ullmann, Wansheng Jin, Jurgen Becker

TL;DR
This paper introduces a novel hardware support approach for dynamically allocating function implementations in reconfigurable systems based on QoS requirements, leveraging knowledge-based methodologies for resource optimization.
Contribution
It presents a new method for run-time function allocation in reconfigurable systems using knowledge-based techniques to optimize hardware and software resources according to QoS needs.
Findings
Enables dynamic function allocation based on QoS requirements
Utilizes knowledge-based methodologies for resource optimization
Supports run-time reconfiguration in multi-device systems
Abstract
This contribution presents a new approach for allocating suitable function-implementation variants depending on given quality-of-service function-requirements for run-time reconfigurable multi-device systems. Our approach adapts methodologies from the domain of knowledge-based systems which can be used for doing run-time hardware/software resource usage optimizations.
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Taxonomy
TopicsAI-based Problem Solving and Planning · Advanced Software Engineering Methodologies · Embedded Systems Design Techniques
