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arxiv: 2604.16143 · v1 · submitted 2026-04-17 · 💻 cs.NI

Deterministic Task Scheduling in In-Vehicle Networks for Software-Defined Vehicles

Keyvan Aghababaiyan , Baldomero Coll-Perales , Luca Lusvarghi , Javier Gozalvez This is my paper

Pith reviewed 2026-05-10 07:20 UTC · model grok-4.3

classification 💻 cs.NI
keywords task schedulingin-vehicle networkssoftware-defined vehiclesdeterministic schedulingzonal architecturesworkload balancinghybrid networksservice guarantees
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The pith

A deterministic task scheduling approach for in-vehicle networks better guarantees service levels than shortest-path or execution-time minimization methods.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces a deterministic task scheduling approach for in-vehicle networks in software-defined vehicles. It shows through evaluation that this method provides stronger guarantees for meeting deterministic service requirements than approaches using shortest paths or minimizing execution times. The scheduling also handles growing computational workloads with more balanced resource utilization across varied network topologies, including hybrid wired and wireless setups. A sympathetic reader would care because vehicles increasingly depend on predictable performance for automation and connectivity features.

Core claim

The paper claims that its deterministic task scheduling approach for in-vehicle networks can better guarantee deterministic service levels than alternative approaches based on the shortest path or the objective to minimize task execution time. Evaluation across various IVN topologies and hybrid wireless-wired implementations shows that this approach satisfactorily supports increasing workloads while achieving more balanced workload and resource utilization.

What carries the argument

The deterministic task scheduling algorithm, which prioritizes meeting service level guarantees over path length or execution speed when assigning tasks across network nodes.

If this is right

  • Critical vehicle functions can meet timing requirements even as automation and connectivity demands grow.
  • Workload distribution across computing nodes becomes more even, reducing bottlenecks in zonal architectures.
  • Hybrid wired-wireless networks can add connectivity options while preserving deterministic performance.
  • The method scales to support higher task volumes without proportional increases in hardware resources.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This scheduling could reduce the hardware over-provisioning needed in centralized vehicle computing platforms.
  • It might extend to dynamic topology changes caused by vehicle movement or component failures.
  • Similar principles could apply to real-time task allocation in other embedded networks such as robotics or industrial systems.
  • Integration with existing automotive communication protocols would require checking compatibility with legacy timing constraints.

Load-bearing premise

The proposed scheduling can be implemented and that simulation results on various topologies accurately predict behavior in real hybrid wireless-wired vehicle networks under increasing workloads.

What would settle it

A hardware testbed experiment on a vehicle prototype in which the deterministic scheduler violates required service levels more frequently than a shortest-path scheduler under high computational load.

read the original abstract

Modern vehicles are embedding increasing levels of automation, connectivity, and intelligence, which require advanced in-vehicle networks and computational platforms to support the dependability and deterministic requirements of critical in-vehicle functions. To this end, the automotive industry is shifting towards software-defined vehicles (SDVs) and zonal E/E architectures with centralized computing nodes. Realizing the full potential of these new architectures requires an efficient management of the in-vehicles computational workload. In this context, this paper introduces a deterministic task scheduling approach for in-vehicle networks (IVN), and demonstrates that it can better guarantee deterministic service levels than alternative approaches based on the shortest path or the objective to minimize task execution time. Our evaluation also demonstrates that a deterministic task scheduling can satisfactorily support increasing in-vehicle computational workloads and tasks, and achieve a more balanced workload and resource utilization across the IVN. These gains are validated across a variety of IVN topologies, and in hybrid wireless-wired IVN implementations, where a gradual introduction of wireless offers increased in-vehicle connectivity diversity.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 1 minor

Summary. The manuscript proposes a deterministic task scheduling approach for in-vehicle networks (IVNs) supporting software-defined vehicles (SDVs) and zonal E/E architectures. It claims this method better guarantees deterministic service levels than shortest-path or minimum task-execution-time baselines, supports increasing computational workloads with more balanced resource utilization, and is validated across multiple IVN topologies including hybrid wireless-wired setups with gradual wireless introduction.

Significance. If the central claims hold under rigorous evaluation, the work could meaningfully advance real-time scheduling for automotive networks by addressing workload management in centralized SDV platforms. The emphasis on determinism and hybrid topologies aligns with industry trends toward higher automation and connectivity. However, the absence of explicit algorithms, quantitative metrics, or channel models in the abstract limits assessment of novelty and practical impact.

major comments (3)
  1. [Abstract / Evaluation] Abstract and Evaluation section: The claim that the deterministic scheduler 'better guarantee[s] deterministic service levels' in hybrid wireless-wired IVNs is load-bearing, yet the manuscript provides no description of the wireless channel model (e.g., whether stochastic fading, interference, or variable delay is modeled). If only idealized deterministic wireless links are used, the superiority over shortest-path and min-execution-time baselines does not extend to realistic conditions and directly undermines the determinism guarantee.
  2. [Abstract] Abstract: No equations, pseudocode, or formal definition of the scheduling algorithm is supplied, nor are concrete performance metrics (latency bounds, deadline miss rates, or utilization variance) reported. This prevents verification of how the approach achieves the stated gains and whether the simulation results on 'various IVN topologies' actually support the central claim.
  3. [Evaluation] Evaluation: The assumption that simulation results on hybrid topologies 'accurately predict behavior in real hybrid wireless-wired vehicle networks under increasing workloads' is not justified by any sensitivity analysis, exclusion criteria, or comparison against stochastic channel models. This is load-bearing for the workload-scalability claim.
minor comments (1)
  1. [Abstract] The abstract would be strengthened by including at least one key quantitative result (e.g., percentage improvement in deadline compliance) to allow readers to gauge the magnitude of the reported gains.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the constructive and detailed comments. We address each major comment below and indicate the revisions planned for the manuscript.

read point-by-point responses

  1. Referee: [Abstract / Evaluation] Abstract and Evaluation section: The claim that the deterministic scheduler 'better guarantee[s] deterministic service levels' in hybrid wireless-wired IVNs is load-bearing, yet the manuscript provides no description of the wireless channel model (e.g., whether stochastic fading, interference, or variable delay is modeled). If only idealized deterministic wireless links are used, the superiority over shortest-path and min-execution-time baselines does not extend to realistic conditions and directly undermines the determinism guarantee.

    Authors: We agree that an explicit description of the wireless channel model is necessary to substantiate the determinism claims for hybrid topologies. The manuscript currently employs idealized deterministic wireless links with fixed delays to evaluate the core scheduling algorithm. In the revision we will add a dedicated subsection in the Evaluation section describing the model assumptions and will include new simulation results that incorporate stochastic fading and interference to demonstrate performance under realistic conditions. revision: yes

  2. Referee: [Abstract] Abstract: No equations, pseudocode, or formal definition of the scheduling algorithm is supplied, nor are concrete performance metrics (latency bounds, deadline miss rates, or utilization variance) reported. This prevents verification of how the approach achieves the stated gains and whether the simulation results on 'various IVN topologies' actually support the central claim.

    Authors: We acknowledge that the abstract is too concise and omits these elements. The body of the manuscript contains the algorithm description and reports metrics such as deadline miss rates and utilization variance, but we will revise the abstract to include a brief formal definition, key equations, and concrete metrics. We will also ensure pseudocode is prominently featured in the revised manuscript. revision: yes

  3. Referee: [Evaluation] Evaluation: The assumption that simulation results on hybrid topologies 'accurately predict behavior in real hybrid wireless-wired vehicle networks under increasing workloads' is not justified by any sensitivity analysis, exclusion criteria, or comparison against stochastic channel models. This is load-bearing for the workload-scalability claim.

    Authors: We agree that the predictive validity of the simulations requires stronger justification. The current evaluation uses multiple topologies but lacks explicit sensitivity analysis. In the revision we will add a sensitivity analysis subsection that varies workload parameters, includes comparisons against stochastic channel models, and discusses limitations and exclusion criteria to better support the scalability claims. revision: yes

Circularity Check

0 steps flagged

No circularity; scheduling claims rest on independent simulation evaluation

full rationale

The paper proposes a deterministic task scheduling algorithm for IVNs in SDVs and evaluates its performance against shortest-path and minimum-execution-time baselines across multiple topologies and hybrid wireless-wired configurations. No derivation chain is presented that reduces a claimed result to its own inputs by construction, fitted parameters, or self-citation. The core claims are supported by external simulation results rather than any self-definitional loop or renamed empirical pattern. This is the standard case of a proposal paper whose validity is tested outside the method itself.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review supplies no mathematical formulation, so no free parameters, axioms, or invented entities can be identified.

pith-pipeline@v0.9.0 · 5487 in / 989 out tokens · 34262 ms · 2026-05-10T07:20:32.284786+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

10 extracted references · 10 canonical work pages

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