Predicting workload behavior, in response to changes in allocated resources, is a critical
part of effective resource management in the cloud. This paper presents a novel approach to …

Making data centers highly available remains a challenge that must be considered since the
design phase. The problem is selecting the right strategies and components for achieving …

Workload modeling in public cloud environments is challenging due to reasons such as
infrastructure abstraction, workload heterogeneity and a lack of defined metrics for …

We study the scheduling of tasks that arrive dynamically at a networked cloud computing
system consisting of heterogeneous processors. Execution of tasks yields some profit to the …

In the course of an enterprise cloud migration effort, engineers often rely on domain
knowledge or employ a heuristic approach when allocating resources to workloads. While …