What supercomputers say: A study of five system logs
A Oliner, J Stearley - 37th annual IEEE/IFIP international …, 2007 - ieeexplore.ieee.org
If we hope to automatically detect and diagnose failures in large-scale computer systems,
we must study real deployed systems and the data they generate. Progress has been …
we must study real deployed systems and the data they generate. Progress has been …
Failure prediction in ibm bluegene/l event logs
Frequent failures are becoming a serious concern to the community of high-end computing,
especially when the applications and the underlying systems rapidly grow in size and …
especially when the applications and the underlying systems rapidly grow in size and …
Proactive fault tolerance for HPC with Xen virtualization
AB Nagarajan, F Mueller, C Engelmann… - Proceedings of the 21st …, 2007 - dl.acm.org
Large-scale parallel computing is relying increasingly on clusters with thousands of
processors. At such large counts of compute nodes, faults are becoming common place …
processors. At such large counts of compute nodes, faults are becoming common place …
Bluegene/l failure analysis and prediction models
Y Liang, Y Zhang, A Sivasubramaniam… - … and Networks (DSN' …, 2006 - ieeexplore.ieee.org
The growing computational and storage needs of several scientific applications mandate the
deployment of extreme-scale parallel machines, such as IBM's BlueGene/L which can …
deployment of extreme-scale parallel machines, such as IBM's BlueGene/L which can …
Proactive process-level live migration in HPC environments
As the number of nodes in high-performance computing environments keeps increasing,
faults are becoming common place. Reactive fault tolerance (FT) often does not scale due to …
faults are becoming common place. Reactive fault tolerance (FT) often does not scale due to …
Failure analysis of jobs in compute clouds: A google cluster case study
X Chen, CD Lu, K Pattabiraman - 2014 IEEE 25th International …, 2014 - ieeexplore.ieee.org
In this paper, we analyze a workload trace from the Google cloud cluster and characterize
the observed failures. The goal of our work is to improve the understanding of failures in …
the observed failures. The goal of our work is to improve the understanding of failures in …
[PDF][PDF] Ensemble of Bayesian predictors and decision trees for proactive failure management in cloud computing systems.
In modern cloud computing systems, hundreds and even thousands of cloud servers are
interconnected by multi-layer networks. In such large-scale and complex systems, failures …
interconnected by multi-layer networks. In such large-scale and complex systems, failures …
Fault-aware, utility-based job scheduling on blue, gene/p systems
Job scheduling on large-scale systems is an increasingly complicated affair, with numerous
factors influencing scheduling policy. Addressing these concerns results in sophisticated …
factors influencing scheduling policy. Addressing these concerns results in sophisticated …
Co-analysis of RAS log and job log on Blue Gene/P
With the growth of system size and complexity, reliability has become of paramount
importance for petascale systems. Reliability, Availability, and Serviceability (RAS) logs …
importance for petascale systems. Reliability, Availability, and Serviceability (RAS) logs …
P-packSVM: Parallel primal gradient descent kernel SVM
It is an extreme challenge to produce a nonlinear SVM classifier on very large scale data. In
this paper we describe a novel P-packSVM algorithm that can solve the Support Vector …
this paper we describe a novel P-packSVM algorithm that can solve the Support Vector …