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PDP
2010
IEEE
15 years 3 months ago
Malleable-Lab: A Tool for Evaluating Adaptive Online Schedulers on Malleable Jobs
—The emergence of multi-core computers has led to explosive development of parallel applications and hence the need of efficient schedulers for parallel jobs. Adaptive online sc...
Yangjie Cao, Hongyang Sun, Wen-Jing Hsu, Depei Qia...
DAGSTUHL
2006
15 years 1 months ago
Decentralization and Mechanism Design for Online Machine Scheduling
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from a new perspective: We assume that the data of ...
Birgit Heydenreich, Rudolf Müller, Marc Uetz
AAIM
2007
Springer
126views Algorithms» more  AAIM 2007»
15 years 5 months ago
Mixed Criteria Packet Scheduling
Packet scheduling in networks with quality of service constraints has been extensively studied as a single criterion scheduling problem. The assumption underlying single criterion ...
Chad R. Meiners, Eric Torng
HPDC
2008
IEEE
14 years 11 months ago
A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids
This paper describes the study conducted to design and evaluate a two-level on-line scheduler to dynamically schedule a stream of sequential and multi-threaded batch jobs on large...
Marco Pasquali, Ranieri Baraglia, Gabriele Capanni...
SIAMDM
2002
124views more  SIAMDM 2002»
14 years 11 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella