The paper proposes a new reliable fault-tolerant scheduling algorithm for real-time embedded systems. The proposed scheduling algorithm takes into consideration only one bus fault in multi-bus heterogeneous architectures, caused by hardware faults and compensated by software redundancy solutions. The proposed algorithm is based on both active and passive backup copies, to minimize the scheduling length of data on buses. In the experiments, this paper evaluates the proposed methods in terms of data scheduling length for a set of DAG benchmarks. The experimental results show the effectiveness of our technique.

The paper proposes a new reliable fault-tolerant scheduling algorithm for real-time embedded systems. The proposed scheduling algorithm takes into consideration only one bus fault in multi-bus heterogeneous architectures, caused by hardware faults and compensated by software redundancy solutions. The proposed algorithm is based on both active and passive backup copies, to minimize the scheduling length of data on buses. In the experiments, this paper evaluates the proposed methods in terms of data scheduling length for a set of DAG benchmarks. The experimental results show the effectiveness of our technique.

The coupled finite element method - finite volume method are applied to solve magnetohydrodynamic (MHD) flow equations and the thermal equation in the linear induction MHD pump taking into account the saturation of the ferromagnetic materials. This study is done using the stream-vorticity formulation. The purpose of this paper is to represent the velocity and the temperature respectively in linear and non linear cases because it is required to have the knowledge of the flow and the temperature to design an MHD pump. Additionally, the effect of the electromagnetic thrust on the flow distribution in a linear induction MHD pump is studied.

The coupled finite element method - finite volume method are applied to solve magnetohydrodynamic (MHD) flow equations and the thermal equation in the linear induction MHD pump taking into account the saturation of the ferromagnetic materials. This study is done using the stream-vorticity formulation. The purpose of this paper is to represent the velocity and the temperature respectively in linear and non linear cases because it is required to have the knowledge of the flow and the temperature to design an MHD pump. Additionally, the effect of the electromagnetic thrust on the flow distribution in a linear induction MHD pump is studied.

The coupled finite element method - finite volume method are applied to solve magnetohydrodynamic (MHD) flow equations and the thermal equation in the linear induction MHD pump taking into account the saturation of the ferromagnetic materials. This study is done using the stream-vorticity formulation. The purpose of this paper is to represent the velocity and the temperature respectively in linear and non linear cases because it is required to have the knowledge of the flow and the temperature to design an MHD pump. Additionally, the effect of the electromagnetic thrust on the flow distribution in a linear induction MHD pump is studied.

The coupled finite element method - finite volume method are applied to solve magnetohydrodynamic (MHD) flow equations and the thermal equation in the linear induction MHD pump taking into account the saturation of the ferromagnetic materials. This study is done using the stream-vorticity formulation. The purpose of this paper is to represent the velocity and the temperature respectively in linear and non linear cases because it is required to have the knowledge of the flow and the temperature to design an MHD pump. Additionally, the effect of the electromagnetic thrust on the flow distribution in a linear induction MHD pump is studied.

This work is located in the domain of distributed information retrieval (DIR). A simplified view of the DIR requires a multi-search in a set of collections, which forces the system to analyze results found in these collections, and merge results back before sending them to the user in a single list. Our work is to find a fusion method based on the relevance score of each result received from collections and the relevance of the local search engine of each collection, which is the main issue of our work.