With the advancement of cloud computing technologies, there is an ever-increasing demand
for the maximum utilization of cloud resources. It increases the computing power …

Workload prediction plays a vital role in intelligent resource scaling and load balancing that
maximize the economic growth of cloud service providers as well as users' quality of …

Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …

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

Accurate estimation of data center resource utilization is a challenging task due to multi-
tenant co-hosted applications having dynamic and time-varying workloads. Accurate …

The smooth operation of a cloud data center along with the best user experience is one of
the prime objectives of a resource management scheme that must be achieved at low cost in …

The cloud service providers require a large number of computing resources to provide
services on-demand that consume the electricity at large and leave high carbon footprints …

Cloud computing is gaining popularity among small and medium-sized enterprises. The cost
of cloud resources plays a significant role for these companies and this is why cloud …

Workload prediction in multi-tenant edge cloud platforms (MT-ECP) is vital for efficient
application deployment and resource provisioning. However, the heterogeneous application …

Traditional auto-scaling approaches are conceived as reactive automations, typically
triggered when predefined thresholds are breached by resource consumption metrics …