RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications

Mattia Nicolella; Shahin Roozkhosh; Denis Hoornaert; Andrea Bastoni; Renato Mancuso

doi:10.1145/3534879.3534888

Publications Workload Profiling

RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications

Mattia Nicolella, Shahin Roozkhosh, Denis Hoornaert, Andrea Bastoni, Renato Mancuso

30th International Conference on Real-Time Networks and Systems, 2022, Paris, France

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Figure 1: The RT-Benchmark Generator can simply be extended with any benchmark from a collection (e.g., a, b, c, d, and e) as long as they feature the three harnessing points constituting the interface. It yields RT-Benchmarks version of the adapted third-party benchmarks.

Abstract

Benchmarking is crucial for testing and validating any system, including—and perhaps especially—real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibit a periodic behavior, operate on a well-defined working set, and strive for stable response time, avoiding non-predicable factors such as page faults. Unfortunately, available benchmark suites fail to reflect key characteristics of real-time applications. Practitioners and researchers must resort to either benchmark heavily approximated real-time environments or re-engineer available benchmarks to add—if possible—the sought-after features. Additionally, the measuring and logging capabilities provided by most benchmark suites are not tailored “out-of-the-box” to real-time environments, and changing basic parameters such as the scheduling policy often becomes a tiring and error-prone exercise. In this paper, we present RT-bench, an open-source framework adding standard real-time features to virtually any existing benchmark. Furthermore, RT-bench provides an easy-to-use, unified command-line interface to customize key aspects of the real-time execution of a set of benchmarks. Our framework is guided by four main criteria: 1) cohesive interface, 2) support for periodic application behavior and deadline semantics, 3) controllable memory footprint, and 4) extensibility and portability. We have integrated within the framework applications from the widely used SD-VBS and IsolBench suites. We showcase a set of use-cases that are representative of typical real-time system evaluation scenarios, and that can be easily conducted via RT-Bench.

Code and hardware artifacts

RT-Bench Software Introduced in this paper
An extensible framework that turns existing benchmarks into periodic real-time workloads.

Cite this paper

@inproceedings{RTBench_RTNS22,
  title     = {{RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications}},
  author    = {Nicolella, Mattia and Roozkhosh, Shahin and Hoornaert, Denis and Bastoni, Andrea and Mancuso, Renato},
  booktitle = {30th International Conference on Real-Time Networks and Systems},
  year      = 2022,
  pages     = {184--195},
  publisher = {Association for Computing Machinery},
  address   = {Paris, France},
  doi       = {10.1145/3534879.3534888},
  url       = {https://doi.org/10.1145/3534879.3534888}
}

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TY  - CONF
AU  - Nicolella, Mattia
AU  - Roozkhosh, Shahin
AU  - Hoornaert, Denis
AU  - Bastoni, Andrea
AU  - Mancuso, Renato
TI  - RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications
T2  - 30th International Conference on Real-Time Networks and Systems
PY  - 2022
PB  - Association for Computing Machinery
CY  - Paris, France
SP  - 184
EP  - 195
DO  - 10.1145/3534879.3534888
UR  - https://doi.org/10.1145/3534879.3534888
AB  - Benchmarking is crucial for testing and validating any system, including—and perhaps especially—real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibit a periodic behavior, operate on a well-defined working set, and strive for stable response time, avoiding non-predicable factors such as page faults. Unfortunately, available benchmark suites fail to reflect key characteristics of real-time applications. Practitioners and researchers must resort to either benchmark heavily approximated real-time environments or re-engineer available benchmarks to add—if possible—the sought-after features. Additionally, the measuring and logging capabilities provided by most benchmark suites are not tailored “out-of-the-box” to real-time environments, and changing basic parameters such as the scheduling policy often becomes a tiring and error-prone exercise. In this paper, we present RT-bench, an open-source framework adding standard real-time features to virtually any existing benchmark. Furthermore, RT-bench provides an easy-to-use, unified command-line interface to customize key aspects of the real-time execution of a set of benchmarks. Our framework is guided by four main criteria: 1) cohesive interface, 2) support for periodic application behavior and deadline semantics, 3) controllable memory footprint, and 4) extensibility and portability. We have integrated within the framework applications from the widely used SD-VBS and IsolBench suites. We showcase a set of use-cases that are representative of typical real-time system evaluation scenarios, and that can be easily conducted via RT-Bench.
ER  -

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%0 Conference Paper
%A Nicolella, Mattia
%A Roozkhosh, Shahin
%A Hoornaert, Denis
%A Bastoni, Andrea
%A Mancuso, Renato
%T RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications
%B 30th International Conference on Real-Time Networks and Systems
%D 2022
%P 184-195
%I Association for Computing Machinery
%C Paris, France
%R 10.1145/3534879.3534888
%U https://doi.org/10.1145/3534879.3534888
%X Benchmarking is crucial for testing and validating any system, including—and perhaps especially—real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibit a periodic behavior, operate on a well-defined working set, and strive for stable response time, avoiding non-predicable factors such as page faults. Unfortunately, available benchmark suites fail to reflect key characteristics of real-time applications. Practitioners and researchers must resort to either benchmark heavily approximated real-time environments or re-engineer available benchmarks to add—if possible—the sought-after features. Additionally, the measuring and logging capabilities provided by most benchmark suites are not tailored “out-of-the-box” to real-time environments, and changing basic parameters such as the scheduling policy often becomes a tiring and error-prone exercise. In this paper, we present RT-bench, an open-source framework adding standard real-time features to virtually any existing benchmark. Furthermore, RT-bench provides an easy-to-use, unified command-line interface to customize key aspects of the real-time execution of a set of benchmarks. Our framework is guided by four main criteria: 1) cohesive interface, 2) support for periodic application behavior and deadline semantics, 3) controllable memory footprint, and 4) extensibility and portability. We have integrated within the framework applications from the widely used SD-VBS and IsolBench suites. We showcase a set of use-cases that are representative of typical real-time system evaluation scenarios, and that can be easily conducted via RT-Bench.

Download .enw

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        "id": "RTBench_RTNS22",
        "type": "paper-conference",
        "title": "RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications",
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                "family": "Bastoni",
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        "DOI": "10.1145/3534879.3534888",
        "abstract": "Benchmarking is crucial for testing and validating any system, including—and perhaps especially—real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibit a periodic behavior, operate on a well-defined working set, and strive for stable response time, avoiding non-predicable factors such as page faults. Unfortunately, available benchmark suites fail to reflect key characteristics of real-time applications. Practitioners and researchers must resort to either benchmark heavily approximated real-time environments or re-engineer available benchmarks to add—if possible—the sought-after features. Additionally, the measuring and logging capabilities provided by most benchmark suites are not tailored “out-of-the-box” to real-time environments, and changing basic parameters such as the scheduling policy often becomes a tiring and error-prone exercise. In this paper, we present RT-bench, an open-source framework adding standard real-time features to virtually any existing benchmark. Furthermore, RT-bench provides an easy-to-use, unified command-line interface to customize key aspects of the real-time execution of a set of benchmarks. Our framework is guided by four main criteria: 1) cohesive interface, 2) support for periodic application behavior and deadline semantics, 3) controllable memory footprint, and 4) extensibility and portability. We have integrated within the framework applications from the widely used SD-VBS and IsolBench suites. We showcase a set of use-cases that are representative of typical real-time system evaluation scenarios, and that can be easily conducted via RT-Bench."
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Download .json

M. Nicolella, S. Roozkhosh, D. Hoornaert, A. Bastoni, and R. Mancuso, “RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications,” in 30th International Conference on Real-Time Networks and Systems, pp. 184–195, 2022, doi: 10.1145/3534879.3534888.

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Nicolella, M., Roozkhosh, S., Hoornaert, D., Bastoni, A., & Mancuso, R. (2022). RT-Bench: An Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications. In 30th International Conference on Real-Time Networks and Systems (pp. 184–195). Association for Computing Machinery. https://doi.org/10.1145/3534879.3534888

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