Workload characterization is a well-established discipline that plays a key role in many
performance engineering studies. The large-scale social behavior inherent in the …

Generally speaking, the workloads are changing rapidly on the Internet, but there is still
regularity of changing patterns. Currently, workload prediction has become a promising tool …

The expected halt of traditional technology scaling is motivating increased heterogeneity in
high-performance computing (HPC) systems with the emergence of numerous specialized …

Datacenters of today have maintained the same architecture for decades. The building block
of the datacenter remains the server, which tightly couples the necessary compute …

Workload patterns of cloud applications are changing regularly. The workload prediction
model is key for auto-scaling of resources in a cloud environment. It is helping with cost …

With the increasing cost of electricity, Cloud providers consider energy consumption as one
of the major cost factors to be maintained within their infrastructure. Consequently, various …

The increasing deployments of 5G mobile communication system is expected to bring more
processing power and storage supplements to Internet of Things (IoT) and mobile devices. It …

Despite the fast evolution of cloud computing, up to now the characterization of cloud
workloads has received little attention. Nevertheless, a deep understanding of their …

Cloud computing has been widely adopted by many companies and government entities. To
ensure high quality computing resource provisioning, cloud platforms should offer smart …

Good resource management is very important in the cloud and workload prediction is a
crucial step towards achieving good resource management. While it is possible to predict …