In many public and private Cloud systems, users need to specify a limit for the amount of
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …

User-facing latency-sensitive web services include numerous distributed,
intercommunicating microservices that promise to simplify software development and …

Modern distributed applications offer complex performance behavior and many degrees of
freedom regarding deployment and configuration. Researchers employ various methods of …

Performance and scalability testing and measurements of cloud-based software services are
necessary for future optimizations and growth of cloud computing. Scalability, elasticity, and …

Realistic, relevant, and reproducible experiments often need input traces collected from real-
world environments. In this work, we focus on traces of workflows—common in datacenters …

In only a decade, cloud computing has emerged from a pursuit for a service-driven
information and communication technology (ICT), becoming a significant fraction of the ICT …

The performance of the same type of cloud resources, such as virtual machines (VMs),
varies over time mainly due to hardware heterogeneity, resource contention among co …

Understanding the resource usage behaviors of the ever-increasing machine learning
workloads are critical to cloud providers offering Machine Learning (ML) services. Capable …

The main feature of a cloud application is its scalability. Major IaaS cloud services providers
(CSP) employ autoscaling on the level of virtual machines (VM). Other virtualization …

Elasticity plays an essential role as far as the wide diffusion of cloud computing is
concerned. It enables a cloud application deployment to'scale'automatically, adapting to …