scholarly journals Evaluating the Impact of Fault Recovery on Superscalar Processor Performance

2006 ◽  
Author(s):  
Toshinori Sato ◽  
Akihiro Chiyonobu
Keyword(s):  
Fault Recovery ◽  
Superscalar Processor ◽  
Processor Performance ◽  
The Impact

Distribution System Fault Recovery with Undispatchable Distributed Generations

2014 ◽  
Vol 529 ◽  
pp. 455-459
Author(s):  
Nan Xu ◽  
Shan Shan Li ◽  
Hao Ming Liu
Keyword(s):  
Wind Power ◽  
Distribution System ◽  
Distribution Systems ◽  
Solar Power ◽  
Equivalent Model ◽  
Point Estimate ◽  
Fault Recovery ◽  
Recovery Method ◽  
Multi Objective ◽  
The Impact

Considering the probabilistic of the wind power and the solar power, a fault recovery method for distribution systems with the wind power and the solar power is presented in this paper. For the wind power, a simplified steady-state equivalent model of an asynchronous wind generator is added into the Jacobian matrix to consider the impact of the wind power on systems. For the solar power, its output is considered as an injected power which is related with solar irradiance. Three-point estimate is employed to solve the probabilistic power flow of distribution systems with the wind power and the solar power. The restoration is described as a multi-objective problem with the mean of the system loss and the number of switch operations. Fast elitist non-dominated sorting partheno-genetic algorithm is used to solve this multi-objective problem. IEEE 33-bus system is used as an example and the results show that the models and algorithms in this paper are efficient.

scholarly journals The Impact and Resolution of the GPS Week Number Rollover of April 2019 on Autonomous Geophysical Instrument Platforms

2021 ◽  
Author(s):  
Shane Coyle ◽  
C. Robert Clauer ◽  
Michael D. Hartinger ◽  
Zhonghua Xu ◽  
Yuxiang Peng
Keyword(s):  
Data Collection ◽  
Best Practices ◽  
Future Development ◽  
Satellite Communications ◽  
Fault Recovery ◽  
Satellite Constellations ◽  
Remote Locations ◽  
Software Designers ◽  
The World ◽  
The Impact

Abstract. Instrument platforms the world over often rely on GPS or similar satellite constellations for accurate timekeeping and synchronization. This reliance can create problems when the timekeeping counter aboard a satellite overflows and begin a new epoch. Due to the rarity of these events (19.6 years for GPS), software designers may be unaware of such circumstance, or may choose to ignore it for development complexity considerations. Although it is impossible to predict every fault that may occur in a complicated system, there are a few best practices that can allow for graceful fault recovery and restorative action. These guiding principles are especially pertinent for instrument platforms operating in space or in remote locations like Antarctica, where restorative maintenance is both difficult and expensive. In this work, we describe how these principles apply to a communications failure on Autonomous Adaptive Low-Power Instrument Platforms (AAL-PIP) deployed in Antarctica. In particular, we describe how code execution patterns were subtly altered after the GPS week number rollover of April 2019, how this led to Iridium satellite communications and data collection failures, and how communications and data collection were ultimately restored. Finally, we offer some core tenets of instrument platform design as guidance for future development.

Reliability and Performance Analysis of Architecture-Based Software Implementing Restarts and Retries Subject to Correlated Component Failures

2015 ◽  
Vol 25 (08) ◽  
pp. 1307-1334 ◽  
Author(s):  
Xiao-Dan Li ◽  
Yong-Feng Yin ◽  
Lance Fiondella
Keyword(s):  
Software Reliability ◽  
High Reliability ◽  
Experimental Studies ◽  
Software Systems ◽  
Fault Recovery ◽  
Recovery Mechanism ◽  
Software Models ◽  
And Performance ◽  
Component Failures ◽  
The Impact

High reliability and performance are essential attributes of software systems designed for critical real-time applications. To improve the reliability and performance of software, many systems incorporate some form of fault recovery mechanism. However, contemporary models of software reliability and performance rarely consider these fault recovery mechanisms. Another notable shortcoming of many software models is that they make the simplifying assumption that component failures are statistically independent, which disagrees with several experimental studies that have shown that the failures of software components can exhibit correlation. This paper presents an architecture-based model of software reliability and performance that explicitly considers a two-stage fault recovery mechanism implementing component restarts and application-level retries. The application architecture is characterized by a Discrete Time Markov Chain (DTMC) to represent the dynamic branching behavior of control between the components of the application. Correlations between the component failures are computed with an efficient numerical algorithm for a multivariate Bernoulli (MVB) distribution. We illustrate the utility of the model through a case study of an embedded software application. The results suggest that the model can be used to quantify the impact of software fault recovery and correlated component failures on application reliability and performance.

scholarly journals The impact and resolution of the GPS week number rollover of April 2019 on autonomous geophysical instrument platforms

2021 ◽  
Vol 10 (2) ◽  
pp. 161-168
Author(s):  
Shane Coyle ◽  
C. Robert Clauer ◽  
Michael D. Hartinger ◽  
Zhonghua Xu ◽  
Yuxiang Peng
Keyword(s):  
Data Collection ◽  
Best Practices ◽  
Future Development ◽  
Satellite Communications ◽  
Fault Recovery ◽  
Satellite Constellations ◽  
Remote Locations ◽  
Software Designers ◽  
The World ◽  
The Impact

Abstract. Instrument platforms the world over often rely on GPS or similar satellite constellations for accurate timekeeping and synchronization. This reliance can create problems when the timekeeping counter aboard a satellite overflows and begins a new epoch. Due to the rarity of these events (19.6 years for GPS), software designers may be unaware of such circumstance or may choose to ignore it for development complexity considerations. Although it is impossible to predict every fault that may occur in a complicated system, there are a few “best practices” that can allow for graceful fault recovery and restorative action. These guiding principles are especially pertinent for instrument platforms operating in space or in remote locations like Antarctica, where restorative maintenance is both difficult and expensive. In this work, we describe how these principles apply to a communications failure on autonomous adaptive low-power instrument platforms (AAL-PIP) deployed in Antarctica. In particular, we describe how code execution patterns were subtly altered after the GPS week number rollover of April 2019, how this led to Iridium satellite communications and data collection failures, and how communications and data collection were ultimately restored. Finally, we offer some core tenets of instrument platform design as guidance for future development.

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