Spain

Autonomous vehicles, such as drones, are gaining great popularity due to their usability and versatility. Nowadays, a significant number of them operate using open source software, such as Robot Operating System (ROS) and the de facto standard MAVLink communication protocol, as they are free and many of them are reusable enough that they can be deployed in various different vehicles. Although these technologies offer a wide variety of resources, using them requires a reasonable background of programming and system engineering. Often, this is not achievable by common drone end-users in the short-term, as they would need to acquire a considerably large amount of know-how before working on specific domains. However, a graphical Domain Specific Modelling Language (DSML) might provide a shortcut to design drone missions using already known concepts to the end-users (or, at least, ones easier to learn). Pursuing this shortcut, RoBMEX is presented as a top-down methodology based on a set of domain specific languages able to enhance the autonomy of ROS-based systems, by allowing the creation of missions graphically, and then generating automatically executable source codes conforming to the designed missions.

AEiC 2021 - 25th Ada-Europe International Conference on Reliable Software Technologies

ROS-based modeling framework for end-users and experts

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

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AAMAS 2021

technical paper

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### Welcome Message from our Co-Chairs

Through this message, we want to give you our warmest welcome to the 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021). The special circumstances we all go through have made the conference a virtual event. Nonetheless, this will allow us to take advantage of the benefits of this format by using the Underline.io platform that allows remote participation of speakers and attendees and a virtual exhibition.
The platform will also provide a virtual space through Gather.Town to facilitate social interaction among participants, which, in addition to presenting state of the art research results, is one of the most important goals of a conference. This platform will hold various social events together with breaks and a poster session. 

The conference schedule includes a four-day program and exhibition from Monday to Thursday, with parallel tutorials on Monday, and keynotes, technical sessions and a Work-in-Progress session on the remaining three days. The technical sessions include the presentations of 13 journal-track papers, 5 industrial presentations and 6 invited talks on leading topics on reliable software technologies. The program will be completed with three outstanding keynotes that will delight the participants.

The main conference activities will be from 13:00 to 18:00 Central European Summer Time (CEST) to allow participants from America to Central Asia to attend to the conference sessions. Virtual social events are scheduled at the beginning and the end of each day. We encourage you to participate in these activities as well as visiting the exhibition. We look forward to meeting you virtually in June 2021!

**J. Javier Gutiérrez and Mario Aldea Rivas**
 // AEiC 2021 Program Co-Chairs

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Global static scheduling (one scheduling table generated off-line per processor) for Mixed Criticality (MC) systems demonstrate excellent results in terms of acceptance ratio and number of preemptions. But, no practical implementation and empirical evaluation have been presented yet for multi-processors systems. In this paper, we present two contributions on the implementation of global static schedulers for MC systems to enforce low latency mode changes. This work interest is illustrated scheduling scheduling tables produced by GMH_MC_DAG, a meta-heuristic to compute schdeduling tables for multi-periodic Directed Acyclic Graphs of Mixed Criticality tasks with multiple criticality level.

Contributions to the implementation of global schedulers for mixed-criticality systems

The use of hardware caches became essential in modern embedded systems to address the speed gap between processor and memory. In such systems, cache-related preemption delay (CRPD) may represent a significant proportion of task execution time. Addressing this delay in scheduling simulation of these systems stays an open and under-examined problem. Assumptions are often made to simplify the computation model used in simulation and capture the worst-case effect. Nevertheless, they can introduce situations in which scheduling simulation is considered not only pessimistic but also non-sustainable. In this article, we discuss the problem and propose a less pessimistic CRPD computation model that allows sustainable scheduling simulation regarding the capacity parameter. With the proposed model, a system that is schedulable with simulated worst-case execution times remains so when these parameters are reduced. These results improve the applicability of scheduling simulation in the early verification stage for systems with caches. Experiments conducted with our CRPD computation model show a 5% to 12% improvement of schedulability task set coverage and a 30% to 50% reduction of preemption cost with regard to existing CRPD computation models. An integration in a scheduling simulator and a performance evaluation are also realized for the proposed model.

Feasibility interval and sustainable scheduling simulation with CRPD on uniprocessor platform

Since 1973, Earliest Deadline First (EDF) uniprocessor scheduling has been known to be superior to its Rate Monotonic (Fixed-Priority, FPS) counterpart. Such superiority manifested in optimality, the capacity of EDF to feasibly sustain full utilization, which FPS can only achieve in certain favorable circumstances. In 2005, further research results argued that EDF's superiority would also extend to finer-grained performance indicators, such as preemption count, release and response-time jitter, resilience to transient overload. Recent work allowed EDF uniprocessor scheduling to be used in place of default FPS in Ada Ravenscar systems with unchanged application code: this development provides an interesting and practical avenue for empirical EDF-to-RM performance comparisons in an especially lean and efficient embedded setting. We leveraged that opportunity to develop a toolbox that enables quantitative comparison of EDF-to-RM uniprocessor scheduling with lightweight run-time tracing and offline analytic. In this work we present that toolbox and illustrate results we obtained with it, which shed new light on the presumed superiority of EDF to RM.

Removing bias from the judgment day: A Ravenscar-based toolbox for quantitative comparison of EDF-to-RM uniprocessor scheduling

This talk introduces a formal framework for describing the relationship between a criticality-aware scheduler and a set of application tasks that are assigned different criticality levels. The exposition employs a series of examples starting with scheduling simple jobs and then moving on to mixed-criticality tasks. The proposed formalism extends the rely-guarantee approach, which facilitates formal reasoning about the functional behaviour of concurrent systems, to address real-time properties.

Formally specifying the behaviour of a mixed criticality scheduler

The increasing computational capacity of cyber‐physical systems (CPS) due to more powerful processors and, 
especially, multi‐core systems has caused their implementation in control systems to have a greater impact than 
initially expected. One of the consequences is the inclusion of a large number of CPS in the development of cars, 
airplanes, trains, etc. The need to reduce consumption, weight, wiring, etc., in these systems has led to the integration 
of the multiple functions performed in a system in a few computing platforms. In this line of development, 
hypervisors play a relevant role in the design, development and certification of the system. Hypervisors allow to 
integrate in the same computing platform the different functionalities that are performed in dedicated CPS. The aim of 
this presentation is to show that the use of hypervisors for CPS development presents fundamental advantages in the 
design, development and certification with respect to more traditional CPS systems.

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