An adaptive locality-conscious process scheduler for embedded systems

Guilin Chen, Guangyu Chen, Ozcan Ozturk, Mahmut Kandemir

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


A critical component of a real-time operating system (RTOS) is its process scheduler. While the prior research on process scheduling focuses mostly on meeting hard/soft deadlines, preemption and priory assignment related issues, problems arise from existence of cache memories are largely ignored. Focusing on data accesses and a cache based embedded system, this paper proposes an adaptive locality-conscious process scheduling algorithm. The main goal of the proposed algorithm is to exploit (reuse) the contents of the on-chip cache memory to the highest extent possible. The algorithm tries to achieve its goal by determining the order in which the processes get scheduled such that the successively-executing processes share a large number of data elements. We implemented our scheduler within a customized simulation platform and simulated it using a set of benchmark codes. Our experimental results reveal that the proposed scheduling algorithm is very successful in practice, and reduces process completion times significantly for both rate-monotonic scheduling (RMS) and earliest-deadline-first scheduling (EDF). We also explain how process code transformations can be used for increasing the savings achieved by the locality-conscious scheduler, and show how the proposed approach operates with a base scheduler such as RMS and EDF.

Original languageEnglish (US)
Pages (from-to)354-364
Number of pages11
JournalProceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS
StatePublished - Sep 26 2005
Event11th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2005 - San Francisco, CA, United States
Duration: Mar 7 2005Mar 10 2005

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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