Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …

Deep sequential (DS) models are extensively employed for forecasting time series data
since the dawn of the deep learning era, and they provide forecasts for the values required …

Providing pay-as-you-go storage and computing services have contributed to the
widespread adoption of cloud computing. Using virtualization technology, cloud service …

The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …

Today, cloud computing presents new business opportunities as it offers various
technological advantages including elastic computing and efficient pricing strategies …

Recent surge in technology and integration of IoT into Cloud computing has resulted in
increasingly heterogeneous workloads with unprecedented compute and storage demands …

The rapid growth and widespread adoption of cloud computing have led to significant
electricity costs and environmental impacts. Traditional approaches that rely on static …

Cloud computing is a ubiquitous computing paradigm that offers its users access to software,
platforms, and infrastructure as services, on-demand, over the Internet. User requests for …

The major cost of running a cloud is power consumption. Under‐utilization of resources that
are kept idly on, over‐allocation of resources, and so on, are a few reasons for excessive …

Autoscaling is a technology to automatically scale the resources provided to their
applications without human intervention to guarantee runtime Quality of Service (QoS) while …