Robust forecasts of future resource usage in cloud computing environments enable high
efficiency in resource management solutions, such as autoscaling and overcommitment …

The advances in virtualization technologies have sparked a growing transition from virtual
machine (VM)-based to container-based infrastructure for cloud computing. From the …

The article focuses on an understudied yet fundamental problem: existing methods typically
average the utilization of multiple hardware threads to evaluate the available CPU …

As cloud demand for computation and network resources fluctuates, effective resource
management becomes essential for optimizing allocation and enhancing performance in …

In edge computing environments, the co-location of latency-critical (LC) services and best-
effort (BE) jobs is a key strategy for enhancing resource utilization. However, existing …

Software deployment misconfiguration often happens and has been one of the major causes
of deployment failures that give rise to service interruptions. However, there is currently no …

Resource overcommitment allows datacenters to improve resource efficiency. In this
approach, the system allocates to the users the amount of resources to be most likely used …

Accurately predicting task performance at runtime in a cluster is advantageous for a
resource management system to determine whether a task should be migrated due to …

Improving resource utilization in datacenters is vital for reducing costs for cloud service
providers (CSPs). Increasing resource utilization must be balanced with maintaining quality …

Cloud providers face issues with cost efficiency due to the inefficient utilization of resources
within their clusters. To improve efficiency, cloud resource management systems use …