Title :
DOM: A Data-dependency-Oriented Modeling approach for efficient simulation of OS preemptive scheduling
Author :
Wang, Peng-Chih ; Wu, Meng-Huan ; Tsay, Ren-Song
Author_Institution :
Dept. of Comput. Sci., Nat. Tsing Hua Univ., HsinChu, Taiwan
Abstract :
Operating system (OS) models are widely used to alleviate the overwhelmed complexity of running system-level simulation of software applications on specific OS implementation. Nevertheless, current OS modeling approaches are unable to maintain both simulation speed and accuracy when dealing with preemptive scheduling. This paper proposes a Data-dependency-Oriented Modeling (DOM) approach. By guaranteeing the order of shared variable accesses, accurate simulation results are obtained. Meanwhile, the simulation effort of our approach is considerably less than that of the conventional Cycle-Accurate (CA) modeling approach, thereby leading to high simulation speed, 42 to 223 million instructions per second (MIPS) or 114 times faster, than CA modeling as supported by our experimental results.
Keywords :
instruction sets; operating systems (computers); scheduling; DOM; OS preemptive scheduling simulation; cycle-accurate modeling approach; data-dependency-oriented modeling approach; million instructions per second; operating system models; Accuracy; Computational modeling; Engines; Simulation; Software; Suspensions; Timing; OS modeling; preemptive scheduling; simulation;
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2011
Conference_Location :
Grenoble
Print_ISBN :
978-1-61284-208-0
DOI :
10.1109/DATE.2011.5763059