Software systems dealing with distributed applications in changing environments normally
require human supervision to continue operation in all conditions. These (re-) configuring …

Autonomic Computing is a concept that brings together many fields of computing with the
purpose of creating computing systems that self-manage. In its early days it was criticised as …

Building on concepts drawn from control theory, self-adaptive software handles
environmental and internal uncertainties by dynamically adjusting its architecture and …

Predicting the residual energy of the battery source that powers a portable electronic device
is imperative in designing and applying an effective dynamic power management policy for …

Reinforcement Learning (RL) provides a promising new approach to systems performance
management that differs radically from standard queuing-theoretic approaches making use …

Large data centers host several application environments (AEs) that are subject to
workloads whose intensity varies widely and unpredictably. Therefore, the servers of the …

We describe a new environment for the exploration of turbulent flows that uses a cluster of
databases to store complete histories of Direct Numerical Simulation (DNS) results. This …

In computing clouds, it is desirable to avoid wasting resources as a result of under-utilization
and to avoid lengthy response times as a result of over-utilization. In this paper, we propose …

Cloud platforms host several independent applications on a shared resource pool with the
ability to allocate computing power to applications on a per-demand basis. The use of server …

In a typical large-scale data center, a set of applications are hosted over virtual machines
(VMs) running on a large number of physical machines (PMs). Such a virtualization …