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IPPS
2009
IEEE
14 years 2 months ago
Minimizing total busy time in parallel scheduling with application to optical networks
—We consider a scheduling problem in which a bounded number of jobs can be processed simultaneously by a single machine. The input is a set of n jobs J = {J1, . . . , Jn}. Each j...
Michele Flammini, Gianpiero Monaco, Luca Moscardel...
CORR
2006
Springer
74views Education» more  CORR 2006»
13 years 7 months ago
Scheduling Algorithms for Procrastinators
This paper presents scheduling algorithms for procrastinators, where the speed that a procrastinator executes a job increases as the due date approaches. We give optimal off-line ...
Michael A. Bender, Raphaël Clifford, Kostas T...
FSTTCS
2010
Springer
13 years 5 months ago
Minimizing Busy Time in Multiple Machine Real-time Scheduling
We consider the following fundamental scheduling problem. The input consists of n jobs to be scheduled on a set of machines of bounded capacities. Each job is associated with a re...
Rohit Khandekar, Baruch Schieber, Hadas Shachnai, ...
APPROX
2009
Springer
99views Algorithms» more  APPROX 2009»
14 years 2 months ago
Resource Minimization Job Scheduling
Abstract. Given a set J of jobs, where each job j is associated with release date rj, deadline dj and processing time pj, our goal is to schedule all jobs using the minimum possibl...
Julia Chuzhoy, Paolo Codenotti
ESA
2000
Springer
141views Algorithms» more  ESA 2000»
13 years 11 months ago
Preemptive Scheduling with Rejection
We consider the problem of preemptively scheduling a set of n jobs on m (identical, uniformly related, or unrelated) parallel machines. The scheduler may reject a subset of the job...
Han Hoogeveen, Martin Skutella, Gerhard J. Woeging...