Multi-resource allocation in data centers determines a network and service management
task of crucial importance. While, traditionally computing systems are shared based on a …

Massive, diverse, and high‐frequency Internet of Things (IoT) applications pose challenges
to the operation of cluster systems that serve it. Fair and efficient multidimensional resource …

Energy consumption has become one of the most important factors in High Performance
Computing platforms. However, while there are various algorithmic and programming …

This work describes the goals and impacts of a large reconfiguration of the job scheduling
system, used in the Czech National Grid and Cloud infrastructure MetaCentrum, which was …

Resource scheduling plays a vital role in High-Performance Computing (HPC) systems.
Most scheduling research in HPC has focused on only a single type of resource (eg …

Many studies in the past two decades focused on the problem of efficient job scheduling in
HPC and Grid-like systems. While many new scheduling algorithms have been proposed for …

Public cloud providers are using the" pay-per-use" model when providing their resources to
customers. Among other advantages, it allows the provider to react to changing demands …

In data centers, many tasks (services, virtual machines or computational jobs) share a single
physical machine. We explore a new resource management model for such colocation. Our …

Fairness problems in data centers have been pointed out frequently over the last years. To
enforce fairness in data centers, the application of job/Virtual Machine (VM) scheduling …

In recent years fairness problems in data centers have been pointed out and job/Virtual
Machine (VM) scheduling has been chosen as a solution approach. Clouds are a special …