Scheduling and dispatching tools for high-performance computing (HPC) machines have
the key role of mapping jobs to the available resources, trying to maximize performance and …

In this work we analyze the performance of scheduling algorithms with respect to fairness.
Existing works frequently consider fairness as a job related issue. In our work we analyze …

In this article we provide brief descriptions of three classes of schedulers: Operating Systems
Process Schedulers, Cluster Systems, Jobs Schedulers and Big Data Schedulers. We …

The current explosion of multimedia data is significantly increasing the amount of potential
knowledge. However, to get to the actual information requires to apply novel content-based …

Classical scheduling mechanisms don't satisfy the requirements for the end user, especially
if the number of the jobs has increased massively in grid computing environment. To meet …

High performance computing (HPC) clusters are typically managed in a restrictive manner;
the large user base makes cluster administrators unwilling to allow privilege escalation …

This Thesis deals with the problem of scheduling applications on High-Performance
Computing (HPC) machines. The goal is to create a scheduler that can improve the …

The current research paradigm is one of data-driven research. Researchers are beginning
to deploy computer facilities to produce and analyze large amounts of data. As requirements …

An approach to efficiently schedule heterogeneous tasks in a distributed environment is
presented. Given a set of tasks each with varied CPU and main memory requirements, and a …

Nowadays, the adoption of Cloud Computing platforms and Service Computing
technologies are almost natural for the different e-Science communities. Cost benefits for …