@inproceedings{13a67212b257401f8684e61479222c7a,
title = "Compositionality in scenario-Aware dataflow: A rendezvous perspective",
abstract = "Finite-state machine-based scenario-aware dataflow (FSM-SADF) is a dynamic dataflow model of computation that combines streaming data and finite-state control. For the most part, it preserves the determinism of its underlying synchronous dataflow (SDF) concurrency model and only when necessary introduces the non-deterministic variation in terms of scenarios that are represented by SDF graphs. This puts FSM-SADF in a sweet spot in the trade-off space between expressiveness and analyzability. However, FSM-SADF supports no notion of compositionality, which hampers its usability in modeling and consequent analysis of large systems. In this work we propose a compositional semantics for FSM-SADF that overcomes this problem. We base the semantics of the composition on standard composition of processes with rendezvous communication in the style of CCS or CSP at the control level and the parallel, serial and feedback composition of SDF graphs at the dataflow level. We evaluate the approach on a case study from the multimedia domain.",
keywords = "(max,+) algebra, Compositions, Scenario-aware dataflow, scenario-aware dataflow, (max, plus ) algebra, compositions",
author = "Mladen Skelin and Marc Geilen",
year = "2018",
month = jun,
day = "19",
doi = "10.1145/3211332.3211339",
language = "English",
series = "ACM SIGPLAN NOTICES",
publisher = "Association for Computing Machinery, Inc",
number = "6",
pages = "55--64",
editor = "Zheng Zhang and Christophe Dubach",
booktitle = "LCTES 2018 - Proceedings of the 19th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, Co-located with PLDI 2018",
address = "United States",
note = "19th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES 2018 ; Conference date: 19-06-2018 Through 20-06-2018",
}