Science is based upon observation. The scientific study of complex computer systems
should therefore be based on observation of how they are used in practice, as opposed to …

There are many choices to make when evaluating the performance of a complex system. In
the context of parallel job scheduling, one must decide what workload to use and what …

Understanding user behavior is crucial for the evaluation of scheduling and allocation
performances in HPC environments. This paper aims to further understand the dynamic user …

The recent success of Internet-based computing projects, coupled with rapid developments
in peer-to-peer systems, has stimulated interest in the notion of harvesting idle cycles under …

Reliable performance evaluations require representative workloads. This has led to the use
of accounting logs from production systems as a source for workload data in simulations. But …

Workload traces from real computer systems are invaluable for research purposes but
regularly suffer from quality issues that might distort the results. As uncovering such issues …

Collecting and analyzing data lies at the basis of the scientific method: findings about nature
usher new ideas, and experimental results support or refute theories. All this is not very …

In this thesis we develop and study self-tuning job schedulers for resource management
systems. Such schedulers search for the best solution among the available scheduling …

In this paper we tackle the well-known problem of scheduling a collection of parallel jobs on
a set of processors either in a cluster or in a multiprocessor computer. For the makespan …

In this paper, we tackle the well‐known problem of scheduling a collection of parallel jobs on
a set of processors either in a cluster or in a multiprocessor computer. For the makespan …