ParetoSafe: Failure-Budget Multicore Scheduler for Safety-Critical Software
A design-time tool that automatically decides how many copies of each software task to run on a multicore chip so the system meets a safety standard's failure-rate budget with the fastest possible schedule, showing engineers a trade-off curve to pick from. It outputs the chosen schedule plus a per-task failure-budget report that can be attached to a safety case.
Concept
ParetoSafe is a design-time plug-in for model-based embedded toolchains (Simulink/Embedded Coder, AUTOSAR, dSPACE TargetLink) that turns a dependency task graph plus a target multicore/MPSoC platform into a certifiable deployment plan. The engineer enters two numbers: the real-time deadline and the system failure-rate budget demanded by the applicable safety standard (e.g., for a flight-critical or ASIL-D function). The tool treats the failure rate as a hard constraint and minimizes schedule length, automatically deciding the replication factor of every task in the graph. Deliverables: (1) a Pareto curve of non-dominated (schedule length, system failure rate) schedules, so the engineer sees exactly what one extra replica of a critical task costs in latency; (2) the chosen static core-assignment and replication plan to generate code or configure the RTOS against; (3) a per-task failure-budget allocation report that maps directly onto safety-case evidence, replacing today's hand-argued replication choices. All guarantees hold under the entered per-core fault-rate model, taken from the platform datasheet or vendor FIT data.
Why now
The new paper [0] presents the first bicriteria (length, reliability) multiprocessor scheduling algorithm that uses the global system failure rate — deliberately chosen because, unlike classical reliability under the exponential model, it does not depend on schedule length — as a constraint while minimizing schedule length, controlling each task's replication factor against the desired failure rate. It is the first such algorithm able to improve reliability by several orders of magnitude, which the authors state makes it suitable for safety-critical systems, and it produces exactly the Pareto curve of non-dominated solutions that a design tool would expose to engineers. That computation — order-of-magnitude reliability improvement with an explicit length/failure-rate trade-off — was not available from prior (length, reliability) schedulers, so a certification-oriented product built on it is newly feasible.
Written by GLM · 2 Oct 2026
AI assessment
A highly focused, high-value design tool that converts a specific academic breakthrough in bicriteria scheduling into a critical compliance asset for safety-certified industries.
- Evidence strength 5/5
- The idea maps directly to the provided research paper's core contribution: a new algorithm for (length, reliability) scheduling that produces the exact Pareto curve and failure-rate constraints described.
- Market pull 5/5
- Avionics and automotive sectors face immense pressure to move to multicore while meeting rigid DO-178C/ISO 26262 standards, making a tool that automates safety-case evidence highly valuable.
- Novelty & moat 5/5
- The idea fills a significant gap in the catalog; none of the existing ideas address real-time scheduling or hardware-software reliability trade-offs.
- Feasibility 4/5
- The core algorithm is already described in the research; the primary challenge is the integration into existing toolchains like Simulink, which is a standard engineering task.
- Wedge clarity 5/5
- The wedge is extremely sharp: a design-time plug-in that generates a specific 'failure-budget report' for certification auditors.
- Simplicity / focus 5/5
- The product is a single-purpose optimization tool with a clear input (task graph/budget) and clear output (schedule/report), avoiding platform bloat.
Scored by Gemma 4 · 2 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
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Who benefits
- MathWorkscompany
Simulink and Embedded Coder are the standard path from control models to multicore embedded code; a failure-rate-constrained scheduler would let its safety-critical customers generate multicore deployments with quantified, automatic replication choices instead of manual ones.
- Wind Rivercompany
Wind River supplies DO-178C-certified operating systems and multicore tooling to aerospace and defense primes; a Pareto (length, failure-rate) scheduler is a natural addition to its safety-critical portfolio and a differentiator against Linux-based rivals.
- Collins Aerospacecompany
As an avionics integrator consolidating flight functions onto multicore platforms, Collins must justify replication and core assignment against failure budgets during certification; the tool automates that argument and produces the evidence artifact.
- Aptivcompany
Aptiv's ADAS domain controllers mix ASIL-D and QM software on shared multicore SoCs; automatic replication sizing under a failure-rate constraint reduces over-provisioned redundancy and shortens integration time.
- dSPACEcompany
dSPACE's production code generation and HIL tools target exactly the safety-critical model-based workflow where a static, certifiable multicore schedule with a failure-budget report plugs in directly.
Research it builds on
- IEEE Transactions on Dependable and Secure ComputingAlain Girault, Hamoudi Kalla · 2026 · 309 citationsAll ideas from this paper →