Nowadays, large-scale systems perform various missions with multiple functions during life cycles for satisfying the customer’s various needs. Therefore, we should develop the robust and attractive systems and be accurately evaluated prior to development of the system. System availability is often considered to represent the performance of the repairable systems and can be increased through imp...

& Conclusions-A problem specific genetic algorithm (GA) is developed and demonstrated to analyze series-parallel systems and to determine the optimal design configuration when there are multiple component choices available for each of several k-out-of-n:G subsystems. The problem is to select components and levels of redundancy to optimize some objective function given system level constraints o...

This article addresses the problem of redundancy and reliability allocation in the operational dimensioning of an automated production system. The aim of this research is to improve the global reliability of the system by allocating alternative components (redundancies) that are associated in parallel with each original component. By considering a complex componential approach that simultaneous...

In order to save time and improve efficiency, all SoC development processes are separated into many parallel flows. These flows should keep a strong communication to avoid redundancy and incoherency. We distinguish two main trends. One aims at designing and implementing hardware when the other focuses on its functional description that may serve to software architecturing, analysis and allocati...

We address the redundancy allocation of a series repairable system with multiple k-out-of-n subsystems with each subsystem following shut-off rule. The objective of the problem is to find the optimal number of repairmen and redundant components in each subsystem for optimization of steady-state availability subject to weight, cost and volume constraints. We propose a Particle Swarm Optimization...

In this paper, we present a metamodel for specifying redundable software and hardware architectures. This metamodel takes into account the constraints on the number of redundant elements, the number of allowed failures, the execution times and allocation constraints. From such a specification, we generate all possible structural configurations. Then, we check that each of these configurations c...

In this paper we address control systemswith redundant actuators and characterize the concepts of weak and strong input redundancy. Based on this characterization, we propose a dynamic augmentation to a control scheme which performs the plant input allocation with the goal of employing each actuator in a suitableway, based on itsmagnitude and rate limits. The proposed theory is first developed ...

System reliability optimization models considering uncertainty are reviewed and a new formulation is proposed to minimize the coefficient of variation of the system reliability estimate. The redundancy allocation problem can be described as selection of the components and system configuration to optimize some objective function(s) without violating system related constraints. In this paper, we ...

Uncertainty profiles are used to study the effects of contention within cloud and service-based environments. An uncertainty profile provides a qualitative description of an environment whose quality of service (QoS) may fluctuate unpredictably. Uncertain environments are modelled by strategic games with two agents; a daemon is used to represent overload and high resource contention; an angel i...

In this work we present an efficient video compression scheme which supports a fast bit rate adaptation independent of the encoder. The proposed scheme generates an embedded bitstream for each frame or, by appropriate multiplexing, for each group of picture. This rate-scalability is supported by an embedded bitstream which allows decoding at multiple rates, or to be more specific at virtually a...