Scenario-aware-Data-Flow Graphs (SADFGs), first intro- duced in [5], achieve a good trade-off between expressiveness (allowing the expression of more dynamic behaviors than Synchronous Data-Flow [2] graphs (SDFGs)) and analyzabil- ity. Finite-State-Machine Scenario-Aware-Data-Flow (FSM- SADF) [4] graphs are a further simplification of the general SADF graphs. Both extend SDFGs with scenarios. In an FSM- SADF MoC a set of typical scenarios are pre-defined (through a finite state machine) for a specific SDF application. The SDF application reacts to every scenario in a different manner leading to more efficiency and better throughput. In this work, we extend our previous model-checking based real-time analysis approach in [1] for the analysi...
A number of modeling approaches combining dataflow and finite-state machines (FSMs) have been propos...
This paper proposes a modeling approach to capture the mapping of an application on a platform. The ...
Scenario-aware dataflow (SADF) is a prominent tool for modeling and analysis of dynamic embedded dat...
Scenario-Aware Data-Flow Graphs (SADFGs) were introduced to capture the behavior of embedded applica...
The FSM-based scenario-aware dataflow (FSM-SADF) model of computation has been introduced to facilit...
Finite-state machine-based scenario-aware dataflow (FSM-SADF) is a dynamic non-deterministic dataflo...
Finite-state machine-based scenario-aware dataflow (FSM-SADF) is a dynamic non-deterministic dataflo...
Wireless embedded applications have stringent temporal constraints. The frame arrival rate imposes a...
The FSM-SADF model of computation is especially suitable for analysing real-time applications with i...
An embedded system is a combination of hardware and software designed to perform a dedicated functio...
Abstract—Dataflow formalisms are widely used for modeling and analyzing streaming applications. An i...
Scenario-aware dataflow (SADF) is a prominent tool for modeling and analysis of dynamic em-bedded da...
An embedded system is a combination of hardware and software designed to perform a dedicated functio...
A number of modeling approaches combining dataflow and finite-state machines (FSMs) have been propos...
This paper proposes a modeling approach to capture the mapping of an application on a platform. The ...
Scenario-aware dataflow (SADF) is a prominent tool for modeling and analysis of dynamic embedded dat...
Scenario-Aware Data-Flow Graphs (SADFGs) were introduced to capture the behavior of embedded applica...
The FSM-based scenario-aware dataflow (FSM-SADF) model of computation has been introduced to facilit...
Finite-state machine-based scenario-aware dataflow (FSM-SADF) is a dynamic non-deterministic dataflo...
Finite-state machine-based scenario-aware dataflow (FSM-SADF) is a dynamic non-deterministic dataflo...
Wireless embedded applications have stringent temporal constraints. The frame arrival rate imposes a...
The FSM-SADF model of computation is especially suitable for analysing real-time applications with i...
An embedded system is a combination of hardware and software designed to perform a dedicated functio...
Abstract—Dataflow formalisms are widely used for modeling and analyzing streaming applications. An i...
Scenario-aware dataflow (SADF) is a prominent tool for modeling and analysis of dynamic em-bedded da...
An embedded system is a combination of hardware and software designed to perform a dedicated functio...
A number of modeling approaches combining dataflow and finite-state machines (FSMs) have been propos...
This paper proposes a modeling approach to capture the mapping of an application on a platform. The ...
Scenario-aware dataflow (SADF) is a prominent tool for modeling and analysis of dynamic embedded dat...