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  • 1.
    Abdullah, Jakaria
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Dai, Gaoyang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Guan, Nan
    Northeastern Univ, Shenyang, Liaoning, Peoples R China..
    Mohaqeqi, Morteza
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Wang, Yi
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Towards a Tool: TIMES-Pro for Modeling, Analysis, Simulation and Implementation of Cyber-Physical Systems2017In: MODELS, ALGORITHMS, LOGICS AND TOOLS: ESSAYS DEDICATED TO KIM GULDSTRAND LARSEN ON THE OCCASION OF HIS 60TH BIRTHDAY / [ed] Aceto, L Bacci, G Bacci, G Ingolfsdottir, A Legay, A Mardare, R, SPRINGER INTERNATIONAL PUBLISHING AG , 2017, p. 623-639Conference paper (Refereed)
    Abstract [en]

    We consider a Cyber-Physical System (CPS) as a network of components that are either physical plants with continuous behaviors or discrete controllers. To build CPS's in a systematic manner, the TIMES-Pro tool is designed to support modeling, analysis and code generation for real-time simulation and final deployment. In this paper, we present our decisions in designing the modeling language, the tool architecture and features of TIMES-Pro, and also a case study to demonstrate its applicability.

  • 2.
    Abdullah, Jakaria
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Dai, Gaoyang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Mohaqeqi, Morteza
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Schedulability Analysis and Software Synthesis for Graph-Based Task Models with Resource Sharing2018In: Proc. 24th Real-Time and Embedded Technology and Applications Symposium, IEEE Computer Society, 2018, p. 261-270Conference paper (Refereed)
  • 3.
    Abdullah, Jakaria
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Dai, Gaoyang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Wang, Yi
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Worst-Case Cause-Effect Reaction Latency in Systems with Non-Blocking Communication2019In: Design, Automation & Test in Europe Conference & Exhibition: DATE 2019, IEEE, 2019, p. 1625-1630Conference paper (Refereed)
    Abstract [en]

    In real-time embedded systems, a system functionality is often implemented using a data-flow chain over a set of communicating tasks. A critical non-functional requirement in such systems is to restrict the amount of time, i.e. cause-effect latency, for an input to impact its corresponding output. The problem of estimating the worst-case cause-effect latency is well-studied in the context of blocking inter-task communication. Recent research results show that non-blocking communication preserving functional semantics is critical for the model-based design of dynamically updatable systems. In this paper, we study the worst-case cause-effect reaction latency estimation problem in the context of non-blocking inter-task communication. We present a computationally efficient algorithm that tightly over-approximates the exact worst-case reaction latency in cause-effect data-flow chains.

  • 4.
    Abdullah, Jakaria
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Mohaqeqi, Morteza
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Synthesis of Ada code from graph-based task models2017In: Proc. 32nd ACM Symposium on Applied Computing, New York: ACM Press, 2017, p. 1467-1472Conference paper (Refereed)
  • 5.
    Abdullah, Syed Md Jakaria
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Lampka, Kai
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Improving performance by monitoring while maintaining worst-case guarantees2016In: Proc. 19th Conference on Design, Automation and Test in Europe, Piscataway, NJ: IEEE, 2016, p. 257-260Conference paper (Refereed)
  • 6. Guan, Nan
    et al.
    Tang, Yue
    Abdullah, Jakaria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Stigge, Martin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Scalable timing analysis with refinement2015In: Tools and Algorithms for the Construction and Analysis of Systems, Springer, 2015, p. 3-18Conference paper (Refereed)
  • 7.
    Mohaqeqi, Morteza
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Abdullah, Jakaria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Ekberg, Pontus
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Refinement of workload models for engine controllers by state space partitioning2017In: 29th Euromicro Conference on Real-Time Systems: ECRTS 2017, Dagstuhl, Germany: Leibniz-Zentrum für Informatik , 2017, p. 11:1-22Conference paper (Refereed)
  • 8.
    Mohaqeqi, Morteza
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Abdullah, Jakaria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Guan, Nan
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Schedulability analysis of synchronous digraph real-time tasks2016In: Proc. 28th Euromicro Conference on Real-Time Systems, IEEE Computer Society, 2016, p. 176-186Conference paper (Refereed)
  • 9.
    Mohaqeqi, Morteza
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Abdullah, Jakaria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    An executable semantics for synchronous task graphs: From SDRT to Ada2017In: Reliable Software Technologies — Ada-Europe 2017, Springer, 2017, Vol. 10300, p. 137-152Conference paper (Refereed)
    Abstract [en]

    We study a graph-based real-time task model in which inter-task synchronization can be specified through a rendezvous mechanism. Previously, efficient methods have been proposed for timing analysis of the corresponding task sets. In this paper, we first formally specify an operational semantics for the model. Next, we describe a method for Ada code generation for a set of such task graphs. We also specify extensions of the approach to cover a notion of broadcasting, as well as global inter-release separation time of real-time jobs. We have implemented the proposed method in a graphical tool which facilitates a model-based design and implementation of real-time software.

  • 10.
    Mohaqeqi, Morteza
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Abdullah, Jakaria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Modeling and analysis of data flow graphs using the digraph real-time task model2016In: Reliable Software Technologies — Ada-Europe 2016, Springer, 2016, p. 15-29Conference paper (Refereed)
1 - 10 of 10
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