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PDP
2010
IEEE
14 years 29 days 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
13 years 10 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»
14 years 3 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
13 years 9 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»
13 years 8 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