Techniques and Analysis for Mixed-criticality Scheduling with Mode-dependent Server Execution Budgets
Ref: CISTER-TR-190906 Publication Date: 13 to 18, Oct, 2019
Techniques and Analysis for Mixed-criticality Scheduling with Mode-dependent Server Execution Budgets
Ref: CISTER-TR-190906 Publication Date: 13 to 18, Oct, 2019Abstract:
In mixed-criticality systems, tasks of different criticality share system resources, mainly to reduce cost. Cost is
further reduced by using adaptive mode-based scheduling arrangements, such as Vestal’s model, to improve
resource efficiency, while guaranteeing schedulability of critical functionality. To simplify safety certification,
servers are often used to provide temporal isolation between tasks. In its simplest form, a server is a periodically
recurring time window, in which some tasks are scheduled. A server’s computational requirements may
greatly vary in different modes, although state-of-the-art techniques and schedulability tests do not allow
different budgets to be used by a server in different modes. This results in a single conservative execution
budget for all modes, increasing system cost.
The goal of this paper is to reduce the cost of mixed-criticality systems through three main contributions:
(i) a scheduling arrangement for uniprocessor systems employing fixed-priority scheduling within periodic
servers, whose budgets are dynamically adjusted at run-time in the event of a mode change, (ii) a new
schedulability analysis for such systems, and (iii) heuristic algorithms for assigning budgets to servers in
different modes and ordering the execution of the servers. Experiments with synthetic task sets demonstrate
considerable improvements (up to 52.8%) in scheduling success ratio when using dynamic server budgets vs.
static “one-size-fits-all-modes" budgets.
Events:
Document:
Additional Files:
ACM SIGBED International Conference on Embedded Software (EMSOFT 2019), pp 109:1-109:23.
New York, U.S.A..
DOI:https://doi.org/10.1145/3358234.
ISSN: 1539-9087.
Notes: ACM Transactions on Embedded Computing Systems, Vol. 18, No. 5s, Article 109.
Record Date: 19, Sep, 2019