Fault tolerance is among the most imperative issues in cloud to deliver reliable services. It is
difficult to implement due to dynamic service infrastructure, complex configurations and …

A large-scale cloud data center needs to provide high service reliability and availability with
low failure occurrence probability. However, current large-scale cloud data centers still face …

The development of cloud computing delivery models inspires the emergence of cloud-
native computing. Cloud-native computing, as the most influential development principle for …

We conducted a cloud outage study (COS) of 32 popular Internet services. We analyzed
1247 headline news and public post-mortem reports that detail 597 unplanned outages that …

The adoption of low latency persistent memory modules (PMMs) upends the long-
established model of remote storage for distributed file systems. Instead, by colocating …

Hardware failures have a big impact on the dependability of large-scale data centers. We
present studies on over 290,000 hardware failure reports collected over the past four years …

In multi-tenant systems, the CPU overhead of distributed file systems (DFSes) is increasingly
a burden to application performance. CPU and memory interference cause degraded and …

The advent of network softwarization is enabling multiple innovative solutions through
software-defined networking (SDN) and network function virtualization (NFV). Specifically …

We present a comprehensive study of 136 system failures attributed to network-partitioning
faults from 25 widely used distributed systems. We found that the majority of the failures led …

Classification algorithms have been widely adopted to detect anomalies for various systems,
eg, IoT and cloud, under the common assumption that the data source is clean, ie, features …