Reliability-Aware System Synthesis

Glaß, Michael; Lukasiewycz, Martin; Streichert, Thilo; Haubelt, Christian; Teich, Jüergen

doi:10.1109/date.2007.364626

Cited by 33 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been shown by Glass et al [18] and others that prior models only supply one form of resource for each activity, and it should be taken into mind that there are connections between numerous resources and activities. In addition, the research presented in [19] describes the recovery strategy as a combination of self-reconfiguration and self-routing.…”

Section: Literature Surveymentioning

confidence: 99%

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Abro

Shafiq

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

The bulk of the fault tolerance techniques that are in use today laid their primary emphasis, in the event that a virtual machine fails, on the production of clones to replace it, rather than on the early prediction of the failure itself in advance. Several of the currently used techniques give migration priority over recovery in the event that a virtual machine (VM) fails. This is due to resource constraints and concerns with server availability. Examples of algorithms with a single objective include fault tolerance, migration prediction, and simply expecting failure. Another example is fault tolerance. In this research, we are aiming to determine the most effective strategy to transition from a system that is not operating well to one that does. It is essential to be able to predict the failure of a virtual machine in a timely manner due of issues such as squandered resources, energy, and cost. Since the beginning of cloud computing, there has been an issue with the dependability of virtual computers, often known as VMs. As an integral component of a fault tolerance system, preemptive measures are an absolute need in order to guarantee the continuation of service. As a consequence of this, it is vital to work toward enhancing and emphasizing the proactive failure prediction of virtual machines. The key motivations for this are decreased periods of downtime and enhanced scalability. A technique was utilized to transfer the resources that were predicted to fail from one virtual machine (VM) to another VM in a safe manner. Using the compression strategy reduced the amount of time needed to complete the migration, and resource utilization increased. This article provides artificial intelligence that enables effective fault prediction techniques in cloud computing to improve resource optimization.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Abro

Shafiq

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…Based on given component reliabilities, the goal is to optimize the Mean Time To Failure (MTTF) of the system (c.f. [9]). Our DSE approach is designed primarily for transient faults.…”

Section: System Modelsmentioning

confidence: 99%

“…In [11], we show the benefit of considering both types of faults in a unified manner. One obvious way to achieve this is to integrate the existing analysis in [9] and consider lifetime reliability as one extra optimization goal. However, additional optimization objectives reduce the optimization efficiency considerably.…”

Section: Optimization Proceduresmentioning

confidence: 99%

A framework for reliability-aware embedded system design on multiprocessor platforms

Huang

Barner

Raabe

et al. 2014

Microprocessors and Microsystems

View full text Add to dashboard Cite

“…This is because reliability becomes a major design objective [23,16] and has a major effect on other objectives. It is therefore important that this objective is explored as a separate design objective [9] and not hierarchically.…”

Section: Related Workmentioning

confidence: 99%

A SAFE approach towards early design space exploration of fault-tolerant multimedia MPSoCs

Stralen

Pimentel

2012

Proceedings of the Eighth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

View full text Add to dashboard Cite

With the reduction in feature size, transient errors start to play an important role in modern embedded systems. It is therefore important to make fault-tolerance a first-class citizen in embedded system design. Fault-tolerance patterns are techniques to make an application fault-tolerant. Not only do fault-tolerance patterns affect the quality of the embedded system (like performance, energy and cost), but there also are many ways of applying them. In this paper, we present the SAFE simulation framework that supports the early exploration of the different possibilities to apply faulttolerance patterns to MPSoC-based embedded multimedia systems. The SAFE model incorporates fault injection, detection and correction. As a result, a Pareto front can be obtained that not only shows the trade-off between metrics like performance, energy, cost, but also captures reliability metrics like frame drops due to soft errors and the number of unresolvable faults.

show abstract

Reliability-Aware System Synthesis

Cited by 33 publications

References 15 publications

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

A framework for reliability-aware embedded system design on multiprocessor platforms

A SAFE approach towards early design space exploration of fault-tolerant multimedia MPSoCs

Contact Info

Product

Resources

About