Virtualized datacenters and clouds are being increasingly considered for traditional High-
Performance Computing (HPC) workloads that have typically targeted Grids and …

Recently, there has been growing interest in distributed models for addressing issues
related to Cloud computing environments, particularly resource allocation. This involves two …

The cloud provides low-cost and flexible IT resources (hardware and software) across the
Internet. As more cloud providers seek to drive greater business outcomes and the …

As the size and complexity of Cloud systems increase, the manual management of these
solutions becomes a challenging issue as more personnel, resources and expertise are …

With time-varying workloads and service requests, cloud-based software services
necessitate adaptive resource allocation for guaranteeing Quality-of-Service (QoS) and …

Automatic decision-making approaches, such as reinforcement learning (RL), have been
applied to (partially) solve the resource allocation problem adaptively in the cloud computing …

Cloud computing has become the most challenging research field in the current information
technology scenario. In this, a set of user tasks are scheduled and allocated to numerous …

Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …

Cloud computing is emerging as an increasingly popular computing paradigm, allowing
dynamic scaling of resources available to users as needed. This requires a highly accurate …

Cloud resource provisioning is a challenging job that may be compromised due to
unavailability of the expected resources. Quality of Service (QoS) requirements of workloads …