Enhancing the efficiency and the reliability of the data center are the technical challenges for
maintaining the quality of services for the end-users in the data center operation. The energy …

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 …

IT systems of today are becoming larger and more complex, rendering their human
supervision more difficult. Artificial Intelligence for IT Operations (AIOps) has been proposed …

Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …

In order to reduce power and energy costs, giant cloud providers now mix online and batch
jobs on the same cluster. Although the co-allocation of such jobs improves machine …

Complex software systems experience failures at runtime even though a lot of effort is put
into the development and operation. Reactive approaches detect these failures after they …

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

Increasing workload conditions lead to a significant surge in power consumption and
computing node failures in data centers. The existing workload distribution strategies …

As we near exascale, resilience remains a major technical hurdle. Any technique with the
goal of achieving resilience suffers from having to be reactive, as failures can appear at any …

For exascale HPC applications, silent data corruption (SDC) is one of the most dangerous
problems because there is no indication that there are errors during the execution. We …