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Bi-criteria Algorithm for Scheduling Jobs on Cluster Platforms (2005)

Abstract
We describe in this paper a new method for building an efficient algorithm for scheduling jobs in a cluster. Jobs are considered as parallel tasks (PT) which can be scheduled on any number of processors. The main feature is to consider two criteria that are optimized together. These criteria are the makespan and the weighted minimal average completion time ( minsum). They are chosen for their complementarity, to be able to represent both user-oriented objectives and system administrator objectives. We propose an algorithm based on a batch policy with increasing batch sizes, with a smart selection of jobs in each batch. This algorithm is assessed by intensive simulation results, compared to a new lower bound (obtained by a relaxation of ILP) of the optimal schedules for both criteria separately. It is currently implemented in an actual real-size cluster platform.

Publication details
Download http://hal.archives-ouvertes.fr/hal-00001520/en/
Publisher HAL - CCSD
Repository CCSd/HAL : e-articles server (based on gBUS) (France)
Keywords Computer Science/Distributed, Parallel, and Cluster Computing, Computer Science/Data Structures and Algorithms, Parallel Computing, Algorithms, Scheduling, Parallel Tasks, Moldable Tasks, Bi-criteria
Type proceeding with peer review
Language English
Relation http://hal.archives-ouvertes.fr/docs/00/02/87/05/PDF/dutot_archiv.pdf

Cited publications (3)
Scheduling to Minimize the Average Completion Time of Dedicated Tasks (2000)
The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid (2000)
The Art of Computer Systems Performance Analysis : Techniques for Experimental Design, Measurement, Simulation and Modeling (1991)