Inferring energy and performance cost of RTOS in priority-driven scheduling

Abstract:

We present a high-level method for rapidly and accurately estimating energy and performance cost of Real-Time Operating Systems.We investigate priority-driven scheduling and assume inter-dependent tasks competing for shared resources. Unlike most other approaches, which rely on Transaction-Level Modeling (TLM), we infer the information we need directly from executing the algorithmic specification, without needing to build any high-level architectural model.We distinguish two main components in our approach: first, an accurate one-time precharacterization of the main RTOS functionalities in terms of energy and cycles; second, the development of an algorithm to rapidly pbkp_redict the occurrences of such RTOS functionalities. Finally, we validate our approach by comparing it against gate level for accuracy and against TLM for speed. We obtain a worst-case error of 12% against a mean speedup of ∼30X. © 2010 IEEE.

Año de publicación:

2010

Keywords:

Fuente:

scopus