This paper proposes a reinforcement learning-based watchdog (RLW) that examines solid-
state drive (SSD) liveness or failures by faults (eg, controller/power faults and high …

Data reliability and availability, and serviceability (RAS) of erasure-coded data centers are
highly affected by data repair induced by node failures. In a traditional failure identification …

In this document, we present our approaches for understanding and discovering scalability
faults, ie faults whose symptoms appear at larger scales but are not visible at smaller scales …

Cloud systems are becoming increasingly complex and performance bugs are inevitable.
Performance bugs are notoriously difficult to debug and fix due to lack of diagnostic …

We present SCALEVIEW, a framework for identifying and analyzing potential scalability
faults in large-scale distributed systems. SCALEVIEW combines instrumentation and …

Timeout bugs can cause serious availability and performance issues which are often difficult
to fix due to the lack of diagnostic information. Previous work proposed solutions for fixing …

Research for large-scale system is challenging because deploying a large system needs a
great amount of resources. My approach to address this problem is based on the …

論文抄録 現代の情報サービスは, 分散システムが基盤となっている. 分散システムにおいて,
大規模な障害が発生すると, サービスの停止につながる. したがって, 分散システムの信頼性を向上 …