The rapid development of cloud computing with virtualization technology has benefited both
academia and industry. For any cloud data center at scale, one of the primary challenges is …

Containers emerged as a lightweight alternative to virtual machines that offer better
microservice architecture support. They are widely used by organizations to deploy their …

Resource management is challenging in clouds due to the dynamics and sharing
characteristics. The crucial problem is how to allocate resources accurately and satisfy …

Workload characterization plays an important role in resource allocation and performance
optimization. In order to improve the resource utilization, cloud providers like Google and …

Reducing power consumption with tolerable performance degradation is a fundamental
challenge in today's containerized High Performance Computing (HPC). Most Dynamic …

Accurately predicting the training time of deep learning (DL) workloads is critical for
optimizing the utilization of data centers and allocating the required cluster resources for …

Today's cloud data centers consume an enormous amount of energy, and energy
consumption will rise in the future. An estimate from 2012 found that data centers consume …

Technological inertia leads many organizations to continue employing static provisioning
strategies for bare-metal deployments, resulting in architectural and runtime inefficiencies …

Although co-scheduling batch jobs with long-running applications (LRAs) can effectively
improve data center resource utilization, performance interference caused by resource …

Containers emerged as a lightweight alternative to a virtual machine (VM) and offer better
microservice architecture support. The major limitation of a VM is that it requires a large …