Abstract eScience demands large-scale computing clusters to support the efficient execution
of resource-intensive scientific applications. Virtual Machines (VMs) have introduced the
ability to provide customizable execution environments, at the expense of performance loss
for applications. However, in recent years, containers have emerged as a light-weight
virtualization technology compared to VMs. Indeed, the usage of containers for virtual
clusters allows better performance for the applications and fast deployment of additional …