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 …

Cloud computing with large-scale datacenters provides great convenience and cost-
efficiency for end users. However, the resource utilization of cloud datacenters is very low …

As the most basic cloud service model, Infrastructure as a Service (IaaS) has been widely
used for serving the evergrowing computing demand due to the prevalence of the cloud …

The maturity of hardware virtualization has motivated Communication Service Providers
(CSPs) to apply thisparadigm to network services. Virtual Network Functions (VNFs) result …

In today's commercial data centers, the computation density grows continuously as the
number of hardware components and workloads in units of virtual machines increase. The …

Workload is a set of inputs given to a infrastructure for processing. Performance can be
measured based on the efficient processing of the workloads. Different workloads has …

We analyze workload traces from production data centers and focus on their VM usage
patterns of CPU, memory, disk, and network bandwidth. Burstiness is a clear characteristic of …

With the rapid development of cloud systems, an increasing number of service workloads
are deployed in the private cloud and/or public cloud. Although large cloud providers such …

Heterogeneity prevails not only among physical machines but also among workloads in real
IaaS Cloud data centers (CDCs). The heterogeneity makes performance modeling of large …

Motivated by the high system complexity of today's datacenters, a large body of related
studies tries to understand workloads and resource utilization in datacenters. However …