Abstract
Multicore systems are rapidly immerging as a new paradigm for integrating both high performance systems and embedded applications. A large field of research focuses now on reconfigurable multicore architecture in order to find optimal solutions for improved performances such as energy consumption. A Perfect system would be able to create a balance between optimum resources allocation and a particular workload. The dynamic frequency scaling has been a key technique in exploiting the hardware configurable characteristics of processors. However, for large class of applications in embedded real time systems, the variable operating frequency interferes with their deadline guarantee. In this paper, a novel fuzzy logic technique is presented to optimize real time system feasibility and energy consumption in multicore architecture based on operating frequency scaling. Tested on different periodic task sets generated with different system charges the proposed technique is an intelligent decision aid system that studies schedulability and energy consumption aware.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
