Time+Place: Tuesday 07/12/2004 14:30 Room 337-8 Taub Bld.
Title: Toward Realistic Evaluation of Job Scheduling Strategies
Speaker: Eitan Frachtenberg http://www.cs.huji.ac.il/~etcs
Affiliation: Los Alamos National Laboratory
Host: Assaf Schuster

Abstract:

Evaluating parallel job scheduling algorithms is a challenging task.
Many factors affect the outcome of the evaluation, including workload
and application choices, metrics, choice of scheduling algorithms and
their parameters, and the hardware used or assumed. The large,
non-continuous parameter space renders analytical evaluation
extremely difficult, while simulation evaluations are very sensitive
to the assumptions undertaken, sometimes resulting in contradicting
results. Experimental evaluations are even rarer, due to the
complexity of implementation, and the difficulty in obtaining a
dedicated large machine for long periods of time.

This talk will describe our efforts to evaluate various scheduling
strategies in a dynamic, realistic environment. Of the various
parameters that affect job scheduling performance, workload and
implementation play a pivotal role. Most studies either employ
simulations and/or simplistic workloads, which contain many
assumptions, including unknown ones. Instead, we developed a
scheduling framework that implements several existing and novel
algorithms on various cluster architectures of up to hundreds of
nodes. This framework was used to produce the first experimental
evaluation of several job scheduling strategies in a dynamic workload
environment, using synthetic and scientific MPI applications.

This talk will discuss the challenges involved in evaluating job
scheduling strategies, and the approaches we chose to address them.
An analysis will be presented of three factors affecting scheduling
systems running dynamic workloads: multiprogramming level, time
quantum, and the use of backfilling for queue management -- and how
they depend on offered load.

Joint work with Dror Feitelson (Hebrew U.), Fabrizio Petrini (LANL),
and Juan Fernandez (Murcia U.)

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Bio: Eitan Frachtenberg is a postdoctoral fellow at Los Alamos
National Laboratory. He received his Ph.D (2003), M.Sc (2001) and
B.Sc (1993) from the Hebrew University, all in computer science. His
research interests include most aspects of high-performance
computing, including scalable system software, job scheduling
algorithms, interconnection design and protocols, cluster computing,
and large-scale resource management.