Nichamon Naksinehaboon

TL;DR: The Lightweight Distributed Metric Service is introduced for scalable, lightweight monitoring of large scale computing systems and applications and its motivations, metrics of choice, and requirements relating to the scale and specialized nature of Blue Waters.

TL;DR: This work presents a reliability-aware method for an optimal checkpoint/restart strategy that can deal with a varying checkpoint interval and with different failure distributions, and aims at addressing fault tolerance challenge, especially in a large-scale HPC system.

TL;DR: A model that aims to reduce full checkpoint overhead by performing a set of incremental checkpoints between two consecutive full checkpoints is built and a method to find the number of those incremental checkpoints is given.

TL;DR: This work presents a reliability-aware method for an optimal checkpoint/restart strategy towards minimizing rollback and checkpoint overheads, and aims to address fault tolerance challenge especially in a large-scale HPC system by providing optimal checkpoint placement techniques that are derived from the actual system reliability.

TL;DR: System- and application-level failures could be characterized by analyzing relevant log files and various time to repair factors were applied to obtain application time to interrupt, which will be exploited in further resilience modeling research.