Abstract. We specify the black box behavior of dataflow components by characterizing the relation between their input and their output histories. We distinguish between three main classes of such specifications, namely time independent specifications, weakly time dependent specifications and strongly time dependent specifications. Dataflow components are semantically modeled by sets of timed stream processing functions. Spec-ifications describe such sets by logical formulas. We emphasize the treat-ment of the well-known fair merge problem and the Brock/Ackermann anomaly. We give refinement rules which allow specifications to be de-composed modulo a feedback operator.
This paper investigates the specification of data flow problems by temporal logic formulas and prov...
The timed dataflow model of computation is a useful performance analysis tool for Electronic System ...
Stream processing applications executed on embedded multiprocessor systems regularly contain cyclic ...
. We specify the black box behavior of dataflow components by characterizing the relation between th...
We specify the black box behavior of dataflow components by characterizing the relation between the ...
In order to obtain a cost-efficient solution, tasks share resources in a Multi-Processor System-on-C...
Abstract. Dataflow in computer networks can be describe as a complicated system. To simulate behavio...
This paper investigates the relationship between two ways of analyzing streaming systems: trace anal...
Due to their distributed/parallel and data-driven nature, control systems can easily be modeled acco...
Criteria for adequacy of a data flow semantics are discussed and Kahn's successful semantics for fun...
Real-time stream processing applications executed on embedded multiprocessor systems often have stri...
Dataflow process networks provide a versatile model of computation for specifying signal processing ...
In the signal processing domain, dataflow graphs [2] [10] and their associated analysis techniques a...
In this paper, we consider a concurrent model of computation called dataflow, where components (acto...
Modern-day streaming digital signal processing (DSP) applications are often accompanied by real-time...
This paper investigates the specification of data flow problems by temporal logic formulas and prov...
The timed dataflow model of computation is a useful performance analysis tool for Electronic System ...
Stream processing applications executed on embedded multiprocessor systems regularly contain cyclic ...
. We specify the black box behavior of dataflow components by characterizing the relation between th...
We specify the black box behavior of dataflow components by characterizing the relation between the ...
In order to obtain a cost-efficient solution, tasks share resources in a Multi-Processor System-on-C...
Abstract. Dataflow in computer networks can be describe as a complicated system. To simulate behavio...
This paper investigates the relationship between two ways of analyzing streaming systems: trace anal...
Due to their distributed/parallel and data-driven nature, control systems can easily be modeled acco...
Criteria for adequacy of a data flow semantics are discussed and Kahn's successful semantics for fun...
Real-time stream processing applications executed on embedded multiprocessor systems often have stri...
Dataflow process networks provide a versatile model of computation for specifying signal processing ...
In the signal processing domain, dataflow graphs [2] [10] and their associated analysis techniques a...
In this paper, we consider a concurrent model of computation called dataflow, where components (acto...
Modern-day streaming digital signal processing (DSP) applications are often accompanied by real-time...
This paper investigates the specification of data flow problems by temporal logic formulas and prov...
The timed dataflow model of computation is a useful performance analysis tool for Electronic System ...
Stream processing applications executed on embedded multiprocessor systems regularly contain cyclic ...