Tag: real-time systems

Call for Papers: Special Issue on Model-Driven System-Performance Engineering for CPS

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I’m honored to serve as Guest Editor for a special issue of IET Cyber-Physical Systems: Theory and Applications focused on Model-Driven System-Performance Engineering for CPS. This issue is a collaboration with Twan Basten (Eindhoven University of Technology), Arvind Easwaran (Nanyang Technological University), and Marilyn Wolf (University of Nebraska-Lincoln).

We invite submissions from both academia and industry across various application domains. If you’re working in this area, consider contributing your research! The submission deadline is November 1, 2024. Feel free to reach out if you have any questions!

Model-Driven System-Performance Engineering for CPS

Submission deadline: Friday, 1 November 2024
Expected Publication Month: June 2025

System performance refers to the amount of useful work done by a system within predefined quality constraints. System performance often brings the competitive advantage for cyber-physical systems in domains like autonomous driving, chip manufacturing and production systems in general, healthcare, the smart grid, precision agriculture, and so on. To meet market demands for product and system quality, system customization, and a low total cost of ownership, systems need to meet ever more ambitious targets relating to system performance. Performance is a cross-cutting system-level concern, with intricate relations to other system-level concerns like quality, cost, energy efficiency, security, reliability, and customizability. Model-driven system-performance engineering (MD-SysPE) for CPS is essential to improve time-to-quality and the cost-performance ratio of complex systems.

This special issue invites any contributions in model-driven system-performance engineering for CPS that are of interest to the academic and industrial CPS community at large. Original research papers, industrial applications and case studies, and surveys on relevant topics are welcome.

Topics for this call for papers include but are not restricted to:

  • Multi-domain modelling, analysis, and optimization of performance aspects
  • Performance views in system architecture
  • Modelling and analysis of trade-offs with other system qualities
  • Modelling and analysis across abstraction levels
  • Design-space exploration methods
  • Synthesis methods targeting performance
  • Scheduling, control in relation to performance
  • Time-predictable (software) execution
  • Data-driven performance analysis and optimization
  • AI methods for performance analysis, optimization, diagnostics
  • Performance monitoring
  • Run-time adaptation and optimization
  • Performance debugging and diagnostics
  • Model learning for performance
  • Performance validation, verification, and testing

TNO-ESI and Academic Partners Deliver ASCI PhD Course on Design and Implementation of Real-time Systems

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The Netherlands boasts a world-leading high-tech manufacturing industry renowned for constructing distributed real-time systems of continuously growing complexity. These systems must meet stringent timing requirements to ensure the delivery of mission-critical functionalities. To create interest in the high-tech equipment domain and prepare PhD students in Computer Science to address its performance challenges, TNO-ESI has co-created and delivered a one-week PhD course Design and Implementation of Real-time Systems together with academic partners from Eindhoven University of Technology, University of Twente, and University of Amsterdam. The course is given in the context of the Advanced School for Computing and Imaging (ASCI), a Dutch research school for high-quality research and education in computer systems and imaging systems. ASCI encompasses almost all Dutch universities with computer-science departments. The main goals of ESI involvement in this course were to make participants aware of TNO and its role in society and industry and position it as a possible future employer, and creating awareness of TNO-ESIs vision and work in the area of system performance engineering.

The course is focused on providing an overview of selected timing-sensitive applications and the current research landscape on real-time systems and explaining the rationale behind considering real-time requirements in system software design. Through a series of lectures and hands-on labs, the course covers selected topics from scheduling algorithms, priority assignments, resource sharing, resource reservation, together with their implementation in real-time operating systems. It further discusses emerging challenges and practices in an industrial context, based on empirical surveys and experience from TNO-ESIs applied research on telemetry-based system performance engineering for purposes of performance optimization, verification, and diagnostics.

This first instance of the course was given at the Carlton President Hotel in Maarsen, outside Utrecht between June 10 – 14. 15 PhD students from universities all over the Netherlands researching a broad range of topics in computer science participated in the course. TNO-ESI was in the spotlight during the last day of the course. In the morning, I introduced the high-tech equipment domain and its complexity drivers and explained how new model-based engineering methodologies where needed to address them. Next, my colleague Bram van der Sanden presented our view on the field of System Performance Engineering, along with its focus areas and best practices. This was followed by two concrete examples from our system performance research: Kostas Triantafyllidis presented his work on performance analysis and diagnosis with ASML, followed by a presentation by me about performance verification and conformance checking in microservice systems based on our work with Thales.

The course was well-received by the participants and the contents were rated 8.7/10 in the evaluation. We very much enjoyed the experience of creating and delivering this course together with our academic partners. Thank you Kuan-Hsun Chen (leader of the initiative), Mitra Nasri, and Geoffrey Nelissen for the excellent collaboration in organizing this course. Thanks to Kay Heider and Christian Hakert for leading the hands-on exercises. We are also thankful to invited speakers Bram van der Sanden and Kostas Triantafyllidis.

Prestigious Test Of Time Award at ESWEEK 2023 for Memory Controller Research

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I am happy to announce that we received the Test Of Time Award for CODES+ISSS at ACM/IEEE Embedded Systems Week (ESWEEK) 2023 in Hamburg, Germany. The Test of Time Award is the most prestigious award of ESWEEK and honors the authors of papers of previous editions of the co-located conferences (CASES 2008, CODES+ISSS 2007, and EMSOFT 2007) that had the highest impact. We received this award for my first paper as a PhD student “Predator: a predictable SDRAM memory controller“, which written with co-authors Kees Goossens and Markus Ringhofer and published in CODES+ISSS 2007.

The paper addressed the problem of providing guarantees on bandwidth and latency to ports on an SDRAM memory controller, a key component of a system-on-chip. Previously, this was only done for statically scheduled memory controllers that assumed the workload of memory requests was known a priori. While this limitation was acceptable for simple systems, increasing integration of functionality in consumer electronics products like set-top boxes challenged this assumption, requiring more dynamic solutions. To this end, the paper presented concepts, hardware architecture, and performance analysis for a more dynamic SDRAM memory controller for real-time systems.

This work formed the base for my memory research, which evolved into a research line that would continue for over a decade and in which six PhD students eventually graduated. In total, this research resulted in a body of work of 30+ papers and two books, which together have been cited more than 2000 times. It also resulted in the open-source tool DRAMPower, which is used to estimate energy consumption of memories. This tool has been integrated in the popular Gem5 simulator and is widely used by the computer architecture community.

The paper was impactful because it was one of the first papers about memory controllers for real-time systems. More papers would follow from Barcelona Supercomputing Center, UC Berkley, and University of Waterloo. Step by step, the proposed memory controllers would become more dynamic and the analysis more sophisticated. This continued until the middle of the previous decade, at which the field moved more from proposing and analyzing new memory controller architectures for systems-on-chips to configuring and analyzing commercial-of-the-shelf memory controllers. This is still an active field of research in the real-time systems community today.

“Receiving this award is an unexpected honor, and I extend my heartfelt thanks to my co-authors and everyone that contributed to subsequent advancements in this field, in particular my former PhD students Karthik Chandrasekar, Manil Dev Gomony, Sven Goossens, Yonghui Li, and Anna Minaeva. Together, we created, developed, and matured the research field of memory controllers for real-time systems.”

Call for Papers and Experts – 30th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2024) in Hong Kong

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I have the honor of being the Program Chair of the 30th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2024), located in Hong Kong May 13-16 next year. Please see the Call for Papers below.

Soon, it will be time to put together the Technical Program Committee (TPC) that will review and select the papers that will appear in the conference program. If you are interested in joining the TPC of this conference, or any other conference (co-)sponsored by the Technical Community of Real-Time Systems (TCRTS), please fill out the TPC self-nomination form as soon as possible. We always welcome self-nominations from our own community, but this year we especially encourage self-nominations from the academic performance engineering community, as well as members of the industry that work with real-time requirements or performance engineering, defined in a broad sense.

If you have any questions, please feel to reach out to me. If want to self-nominate, click this link. A self-nomination is not a firm commitment, it is just a declaration of interest that may result in an invitation.

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30th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2024)

Hong Kong, May 13-16, 2024

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CALL FOR PAPERS

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RTAS is a top-tier conference with a focus on time-sensitive systems. RTAS’24 invites papers describing case studies, applications, methodologies, and algorithms that contribute to the state of practice in design, implementation, verification, validation, and evolution of time-sensitive systems. RTAS’24 consists of two tracks:

  • Track 1. Systems and Applications;
  • Track 2. Applied Methodologies and Foundations.

In both tracks, papers must consider some kind of timing requirements. The timing requirements of interest are broadly defined and include not only classical hard real-time constraints, but also soft real-time, probabilistic, quality-of-service (QoS), throughput or latency requirements. The application area can be any type of time-sensitive systems, ranging from resource-constrained embedded systems to cyber-physical systems (CPS), cloud/edge/fog computing systems, cloud data centers, Internet of Things (IoT), mobile computing, robotics,  smart grid, and smart cities, as well as middleware and frameworks, machine learning in or for time-sensitive systems and signal processing algorithms that execute in real time. RTAS welcomes both papers backed by formal proofs, as well as papers that focus exclusively on empirical validation of timing requirements, e.g., using traces or performance models inferred from operational data. Research results from fundamental research, (case-driven) applied research, and (pragmatic) industry practice are all in scope.

RTAS’24 follows a double-anonymous peer reviewing process: author identities and affiliations will not be revealed to reviewers. Authors will have the opportunity to provide a response to reviews before acceptance decisions are made, solely to provide clarifications and correct misconceptions. The response will not allow authors to introduce new material beyond the original submission, or promise such material for the camera-ready version. There will be an optional evaluation process for accepted papers that assesses the reproducibility of the work.

Track 1: Systems and Applications

This track focuses on research of an empirical nature pertaining to (system- or component-) level analysis, optimization, and verification, as well as applications, runtime software, and hardware architectures for time-sensitive systems.

Topics relevant to this track include, but are not limited to:

  • time-sensitive applications
  • real-time and embedded operating systems,
  • hypervisors and runtime frameworks,
  • hardware architectures, memory hierarchies, FPGAs, GPUs and accelerators,
  • time-sensitive networks, CPS/IoT infrastructure,
  • microservice technologies, cloud and edge computing, real-time artificial intelligence and machine learning,
  • application profiling, WCET analysis, compilers, tools, benchmarks and case studies.

Papers discussing design and implementation experiences on real industrial systems are especially encouraged. Papers submitted to this track should focus on specific systems and implementations. Authors must include a section with experimental results performed on a real implementation, or demonstrate applicability to an industrial case study or working system. The experiment or case study discussions must highlight the key lessons learned. Simulation-based results are acceptable for architectural simulation, or other cases where authors clearly motivate why it is not feasible to develop and evaluate a real system.

Empirical survey-based research focused on the real-time systems field is also welcome in this track. This type of research uses surveys, questionnaires, interviews, use cases or other empirical techniques to obtain information about the past / current / future state of play in the research, design, development, verification, validation, and deployment of time-sensitive systems.

Track 2: Applied Methodologies and Foundations

This track focuses on fundamental models, and analysis techniques/methods that are applicable to time-sensitive systems to solve specific problems. The track welcomes knowledge-based models, models built from operational data, as well as a combination, and different types of analysis methods, including analytical, statistical, or probabilistic methods. Topics relevant to this track include, but are not limited to:

  • modelling languages, modelling methods, model learning, model validation and calibration,
  • scheduling and resource allocation,
  • system-level optimization and co-design techniques,
  • design space exploration,
  • verification and validation methodologies.

Papers must describe the main context or use case for the proposed methods giving clear motivating examples based on real systems. The system models and any assumptions used in the derivation of the methods must be applicable to real systems, and reflect actual needs. Papers must include a section on experimental results, preferably including a case study based on information from a real system. The use of synthetic workloads and models is acceptable if appropriately motivated and used to provide a systematic evaluation.

Important Dates

Submission Deadline (firm): October 31, 2023
Author Response Period: January 8-12, 2024
Author Notification: January 19, 2024
Conference Date: May 13-16, 2024

 

Bridging the Gap: Rethinking Real-Time Systems for Industry Success and Model-Driven Performance Engineering

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The real-time systems community is shrinking and needs to bridge the gap between academic research an industry practice. In my pitch at ECRTS, I shared our view on model-driven system performance engineering for cyber-physical systems and encouraged the community increase its scope and take a broader responsibility for timing-related issues in systems to achieve those goals. This means working in more of the focus areas that we have identified in our vision and validated with our industry partners, but also reconsidering some directions in areas where work is already taking place. This means less focus on hard real-time requirements and formal methods and more focus on:

• system-level KPIs instead of meeting deadlines in subsystems
• soft real-time requirements
• timing requirements beyond software
• system performance modelling, model calibration, and model learning
• data-driven performance analysis, optimization, verification, and diagnostics, e.g. using traces

I encouraged the community to have a look at our vision for model-based system performance engineering for industrial cyber-physical systems and asked to think about how they could contribute through their current and future work.

Please have a look at our vision here.

Thanks to Bram van der Sanden, Kuan-Hsun Chen, Mitra Nasri, Geoffrey Nelissen, and Twan Basten for their help preparing the pitch.

Optimizing Efficiency and Performance: PhD Thesis Defense on Energy- and Time-aware Scheduling for High-Performance Embedded Systems

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Yesterday, I participated in the PhD defense committee of Julius Röder, a PhD student in the Parallel Computing Systems group at the University of Amsterdam. The thesis “Energy- and Time-aware Scheduling for Heterogeneous High-Performance Embedded Systems” addresses the relevant problem of optimizing non-functional behavior, such as timing and energy consumption, of heterogeneous high-performance embedded systems. The goal of this optimization Is to reduce energy consumption, thereby also reducing carbon footprint and extending battery-life, as well as ensuring that real-time requirements of applications are satisfied, even at high resource utilizations. To this end, the thesis contributes a discussion on setups used for energy measurements, as well as experiments and a statistical analysis that demonstrate the Importance of sampling frequency on the accuracy of such measurements. The bulk of the thesis proposes heuristic algorithms, both conventional and based on reinforcement learning, for mapping and scheduling applications modelled as directed acyclic graphs (DAG) on heterogeneous platforms. The applications are assumed to be available In different versions, with different non-functional behavior, for the different types of processing elements In the heterogeneous architecture, which enables trade-offs between timing and energy. A key strength of the thesis is that theory is combined with a practical component; the scheduling algorithms are implemented and evaluated on a heterogeneous multi-core systems, where timing and energy behavior are carefully measured and analyzed.

In presence of family, friends, and colleagues, Julius confidently defended his PhD thesis and earned the right to call himself a doctor. Congratulations Julius with this great achievement!

Driving Innovation and Collaboration: Dutch Real-time Days Event Sparks Ideas for Future Research and Industry Relevance

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I recently co-organized a Dutch Real-time Days event together with real-time systems researchers from TU/e and UT. The event was funded through a 4TU.NIRICT Call Community Funding and its goals were to:

1) share and develop new ideas for real-time systems research,
2) stimulate new collaborations, and
3) networking.

In addition to the four organizers from the Netherlands, Mitra Nasri (TU/e), Geoffrey Nelissen (TU/e), Kuan-Hsun Chen (UT), and myself, four well-established European researchers in the area of real-time systems were invited to the event. Everybody was invited to pitch their current work, ideas for future directions, and appropriate mechanisms to support collaborations. This was followed by brainstorming sessions were these ideas were creatively improved, as well as a working session where some of the ideas were discussed in more detail and made actionable. At the end of the first day, there was a lovely dinner at Restaurant Giornale in Eindhoven, providing further room for discussions and networking.

The outcome of the two days was a mix of technical ideas that can be pursued in future research papers or project proposals, and actions to shape direction of the academic real-time systems community and further increase its industrial relevance. For example, we agreed to propose that the Technical Community on Real-time Systems (TCRTS) adds an award for industry impact/technology transfer and propose a special issue on industry challenges/visions in the Journal of Real-time Systems.

RTSS@Work 2022 Proceedings Online

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I have had the honor to serve as the chair of RTSS@Work 2022, the open demo session organized as a part of the 43rd IEEE Real-Time Systems Symposium, held in Houston, Texas on December 6, 2022. The goal of RTSS@Work is to provide a platform for researchers to present prototypes, tools, simulators, and systems, which extend the state-of-the-art in Real-Time Technologies and Techniques. It augments the traditional forum by enabling presenters to demonstrate working systems, thereby allowing them to directly engage with the audience, generate interest in new research topics, and encourage wider adoption of common frameworks.

This year’s RTSS@Work was very special, as it was the first physical instance after years of virtual events due to the COVID pandemic. It was nice to meet each other again and to physically demonstrate and discuss the work we have done. While the COVID pandemic reduced the number of submissions in previous years, I am happy to announce that we had nine demo submissions this year, on par with the pre-pandemic era. The program committee, comprising seven researchers, selected eight demos to appear in the session. I would like to thank the program committee for accepting my invitation and for spending their time reviewing and selecting the demo abstracts. I would also like to thank the authors for submitting to RTSS@Work, for delivering the camera-ready abstracts on time, and for demonstrating their work at the conference.

The proceedings of RTSS@Work 2022 are now available online.

Proposal Building Dutch Real-time Systems Community Granted

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Recently, I submitted a small proposal worth 5K euro to the 4TU.NIRICT Call Community Funding together with Mitra Nasri and Geoffrey Nelissen, both from Eindhoven University of Technology, and Kuan-Hsun Chen from University of Twente. The purpose of the proposal was for creating a Dutch Real-time Systems community and stimulate collaboration both nationally and at the European level. Earlier this week, we were notified that the proposal was granted!

We plan to use the funding for building a Dutch real-time systems community by organizing a workshop in the Netherlands with several invited speakers (around 6) from other European countries, followed by a consolidation event after 3 months. The duration of the workshop will two days, and the target audience is the domain researchers affiliated with the 4TU and UvA. On each workshop day, there will be keynotes, rapid pitch talks, interactive panels, reviews of funding opportunities, and social meetings. The one-day consolidation event, (e.g., three months later) will focus on strengthening the Dutch real-time system community vision and on consolidating the initiatives planned at the workshop.

I look forward to working with Mitra, Geoffrey, and Kuan to organize a strong real-time systems community in the Netherlands through this grant, and through other means.

 

Article about Survey-based Study into Industry Practice in Real-time Systems in Real-time Systems Journal

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It has been almost a year since we published the first survey-based study in the area of real-time systems at the Real-time Systems Symposium (RTSS) back in December 2020. The paper was entitled “An Empirical Survey-based Study into Industry Practice in Real-time Systems” and had the ambitious goal of addressing the gap between academic research and industry practice through an empirical survey-based study into industry practice. The survey had five objectives: 1) Establish whether timing predictability is of concern to the real-time embedded systems industry, 2) Identify relevant industrial problem contexts, including hardware platforms, middleware, and software, 3) Determine which methods and tools are used to achieve timing predictability, 4) Establish which techniques and tools are used to satisfy real-time requirements, and 5) Determine trends for future real-time systems. The survey was completed by 120 industry practitioners in the field of real-time embedded systems, which allowed interesting observations and insights to be made about the characteristics of the systems being developed today and important trends for the future.

Now, almost one year later, I am happy to announce that an extended version of our RTSS paper has been accepted for publication in the Real-time Systems journal. The title of the article is “A Comprehensive Survey of Industry Practice in Real-Time Systems“. The main extensions in the article include: 1) a discussion of potential threats to validity of the survey and its results, as well as the steps taken to mitigate them, 2) a statistical analysis and discussion of the results of the survey, in the context of its five objectives, 3) a discussion of the results of a quiz aimed at determining if the aggregate findings of the survey are common knowledge in the real-time systems community. In addition, more aggregated data from the survey has been released, allowing interested readers to further delve into the similarities and differences between the avionics, automotive, and consumer electronic domains.

We hope that you enjoy the article!