This paper presents four models to demonstrate our techniques for optimizing software and hardware reliability for fault-tolerant distributed systems. The models help us find the optimal system structure while considering basic information on reliability and cost of the available software and hardware components. Each model is suitable for a distinct set of conditions or situations. All four mo...

According to the spring’s failures in the tools storage and mechnical tools locking, the thesis will discuss the reliability optimization design for spring. With the known probability characteristics of basic random parameters, the random perturbation method, the reliability theory and optimal design technology are used to give the spring reliability design problems in locking knife spring in t...

Lifetime reliability is emerging as a major concern for system design as escalating power density and hence temperature variation continues to accelerate wear-out, leading to a growing prominence of device-defects. This has attracted a significant attention both in industry and in academia to investigate on wear-out mitigation techniques, from micro-architectural adaptations to systemlevel opti...

A very efficient methodology to carry out reliability-based optimization of linear systems with random structural parameters and random excitation is presented. The reliabilitybased optimization problem is formulated as the minimization of an objective function for a specified reliability. The probability that design conditions are satisfied within a given time interval is used as a measure of ...

In reliability-based and cost-oriented product optimization, the target product reliability is apportioned to subsystems or components to achieve the maximum reliability and minimum cost. Main challenges to conducting such optimization design lie in how to simultaneously consider subsystem division, uncertain evaluation provided by experts for essential factors, and dynamic propagation of produ...

Mathematical optimization plays an important role in engineering design, leading to greatly improved performance. Deterministic optimization however, can lead to undesired choices because it neglects input and model uncertainty. Reliability-based design optimization (RBDO) and robust design improve optimization by considering uncertainty. A design is called reliable if it meets all performance ...

Many industrial processes for discrete consumable products consist of a series (or set) of sequential process operations (or subsystems) which are de-coupled by means of in-process storage buffers. Each subsystem of such a process contains one or more parallel coupled or uncoupled operating lanes. We describe the use of a discrete-event simulation model for determining the availability of such ...

1. Abstract In this paper a robust and efficient methodology is presented for treating large-scale reliability-based, structural optimization problems under seismic loads using the pushover analysis method. The optimization problem is solved with the Evolution Strategies method, while the reliability analysis is carried out with the Monte Carlo simulation method. In order to reduce the excessiv...

This paper deals with chance constraints based reliability stochastic optimization problem in the series system. This problem can be formulated as a nonlinear integer programming problem of maximizing the overall system reliability under chance constraints due to resources. The assumption of traditional reliability optimization problem is that the reliability of a component is known as a fixed ...

3D integrated circuits (3DICs) with through-silicon vias (TSVs) are an important direction for semiconductor-based products and “More than Moore” scaling. However, 3DICs bring simultaneous challenges of reliability (power and temperature in stacks of thinned die) as well as variability (performance and power) in advanced technology nodes. In this paper, we study variability-reliability interact...