Cloud research to date has lacked data on the characteristics of the production virtual
machine (VM) workloads of large cloud providers. A thorough understanding of these …

Cloud providers rent the resources they do not allocate as evictable virtual machines (VMs),
like spot instances. In this paper, we first characterize the unallocated resources in Microsoft …

Workload modeling enables performance analysis and simulation of cloud resource
management policies, which allows cloud providers to improve their systems' Quality of …

Despite the potential given by the combination of multi-tenancy and virtualization, resource
utilization in today's data centers is still low. We identify three key characteristics of cloud …

Resource under-utilization is common in cloud data centers. Prior works have proposed
improving utilization by running provider workloads in the background, colocated with tenant …

Cloud computing is emerging as an increasingly popular computing paradigm, allowing
dynamic scaling of resources available to users as needed. This requires a highly accurate …

Users of cloud services are presented with a bewildering choice of VM types and the choice
of VM can have significant implications on performance and cost. In this paper we address …

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

Infrastructure-as-a-service (IaaS) cloud providers offer tenants elastic computing resources
in the form of virtual machine (VM) instances to run their jobs. Recently, providing …

Virtualized data centers enable sharing of resources among hosted applications. However, it
is difficult to satisfy service-level objectives (SLOs) of applications on shared infrastructure …