Distributed semantics and implementation for systems with interaction and priority

The paper studies a distributed implementation method for the BIP (Behavior, Interaction, Priority) component framework for modeling heterogeneous systems. BIP offers two powerful mechanisms for describing composition of components by combining interactions and priorities. A system model is layered. The lowest layer contains atomic components; the second layer, describes possible interactions between atomic components; the third layer includes priorities between the interactions. The current implementation of BIP is based on global state operational semantics. An Engine directly interprets the operational semantics rules and computes the possible interactions between atomic components from global states. The implementation method is a translation from BIP models into distributed models involving two steps. The first translates BIP models into partial state models where are known only the states of the components which are ready to communicate. The second implements interactions in the partial state model by using message passing primitives. The main results of the paper are conditions for which the three models are observationally equivalent. We show that in general, the translation from global state to partial state models does not preserve observational equivalence. Preservation can be achieved by strengthening the premises of the operational semantics rules by an oracle. This is a predicate depending on the priorities of the BIP model. We show that there are many possible choices for oracles. Maximal parallelism is achieved for dynamic oracles allowing interaction as soon as possible. Nonetheless, these oracles may entail considerable computational overhead. We study performance trade-offs for different types of oracles. Finally, we provide experimental results illustrating the application of the theory on a prototype implementation. © 2008 Springer-Verlag Berlin Heidelberg

Source-to-source architecture transformation for performance optimization in BIP

BIP (Behavior, Interaction, Priorities) is a component framework for constructing systems from a set of atomic components by using two kinds of composition operators: interactions and priorities.In this paper we present a method that transforms the interactions of a component-based program in BIP and generates a functionally equivalent program.The method is based on the successive application of three types of source-to-source transformations: flattening of components, flattening of connectors and composition of atomic components.We show that the system of the transformations is confluent and terminates.By exhaustive application of the transformations, any BIP component can be transformed into an equivalent monolithic component.From this component, efficient C code can be generated.The method combines advantages of component-based description such as clarity, incremental construction and reasoning with the possibility to generate efficient monolithic code.It has been integrated in the design methodology for BIP and it has been successfully applied to two non trivial examples described in the paper.© 2009 IEEE

Source-to-source architecture transformation for performance optimization in BIP

Behavior, Interaction, Priorities (BIP) is a component framework for constructing systems from a set of atomic components by using two kinds of composition operators: interactions and priorities. In this paper, we present a method that transforms the interactions of a component-based program in BIP and generates a functionally equivalent program. The method is based on the successive application of three types of source-to-source transformations: flattening of components, flattening of connectors, and composition of atomic components. We show that the system of the transformations is confluent and terminates. By exhaustive application of the transformations, any BIP component can be transformed into an equivalent monolithic component. From this component, efficient standalone C++ code can be generated. The method combines advantages of component-based description such as clarity, incremental construction, and reasoning with the possibility to generate efficient monolithic code. It has been integrated in the design methodology for BIP and it has been successfully applied to two non trivial examples described in this paper. © 2010 IEEE

Concurrency-preserving and sound monitoring of multi-threaded component-based systems: theory, algorithms, implementation, and evaluation

International audienceThis paper addresses the monitoring of logic-independent linear-time user-provided properties in multi-threaded component-based systems. We consider intrinsically independent components that can be executed concurrently with a centralized coordination for multiparty interactions. In this context, the problem that arises is that a global state of the system is not available to the monitor. A naive solution to this problem would be to plug in a monitor which would force the system to synchronize in order to obtain the sequence of global states at runtime. Such a solution would defeat the whole purpose of having concurrent components. Instead, we reconstruct on-the-fly the global states by accumulating the partial states traversed by the system at runtime. We define transformations of components that preserve their semantics and con-currency and, at the same time, allow to monitor global-state properties. Moreover, we present RVMT-BIP, a prototype tool implementing the transformations for monitoring multi-threaded systems described in the BIP (Behavior, Interaction, Priority) framework, an expressive framework for the formal construction of heterogeneous systems. Our experiments on several multi-threaded BIP systems show that RVMT-BIP induces a cheap runtime overhead

Distributed Semantics and Implementation for Systems with Interaction and Priority

International audienceThe paper studies a distributed implementation method for the BIP (Behavior, Interaction, Priority) component framework for modeling heterogeneous systems. BIP offers two powerful mechanisms for describing composition of components by combining interactions and priorities. A system model is layered. The lowest layer contains atomic components; the second layer, describes possible interactions between atomic components; the third layer includes priorities between the interactions. The current implementation of BIP is based on global state operational semantics. An Engine directly interprets the operational semantics rules and computes the possible interactions between atomic components from global states. The implementation method is a translation from BIP models into distributed models involving two steps. The first translates BIP models into partial state models where are known only the states of the components which are ready to communicate. The second implements interactions in the partial state model by using message passing primitives