Annals of Operations Research
Scheduling Parallel Machines On-line
SIAM Journal on Computing
Developments from a June 1996 seminar on Online algorithms: the state of the art
Maximizing Job Completions Online
ESA '98 Proceedings of the 6th Annual European Symposium on Algorithms
Restarts Can Help in the On-Line Minimization of the Maximum Delivery Time on a Single Machine
ESA '00 Proceedings of the 8th Annual European Symposium on Algorithms
An O(n4) algorithm for preemptive scheduling of a single machine to minimize the number of late jobs
Operations Research Letters
Minimizing the Total Completion Time On-line on a Single Machine, Using Restarts
ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
On maximizing the throughput of multiprocessor tasks
Theoretical Computer Science
Minimizing the total completion time on-line on a single machine, using restarts
Journal of Algorithms
Online market driven spectrum scheduling and auction
Proceedings of the 2009 ACM workshop on Cognitive radio networks
SOFA: Strategyproof Online Frequency Allocation for Multihop Wireless Networks
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
Online preemptive scheduling with immediate decision or notification and penalties
COCOON'10 Proceedings of the 16th annual international conference on Computing and combinatorics
Online deadline scheduling with preemption penalties
Computers and Industrial Engineering
Temperature aware online algorithms for scheduling equal length jobs
FAW-AAIM'11 Proceedings of the 5th joint international frontiers in algorithmics, and 7th international conference on Algorithmic aspects in information and management
TOFU: semi-truthful online frequency allocation mechanism for wireless network
IEEE/ACM Transactions on Networking (TON)
Laxity helps in broadcast scheduling
ICTCS'05 Proceedings of the 9th Italian conference on Theoretical Computer Science
Temperature aware online algorithms for scheduling equal length jobs
Theoretical Computer Science
Online scheduling with preemption or non-completion penalties
Journal of Scheduling
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This note deals with the scheduling problem of maximizing the number of early jobs on a single machine. We investigate the on-line version of this problem in the Preemption-Restart model. This means that jobs may be preempted, but preempting results in all the work done on this job so far being lost. Thus, if the job is restarted, then it has to be done from scratch. We prove that the shortest remaining processing time (SRPT) rule yields an on-line algorithm with competitive ratio 12. Moreover, we show that there does not exist an on-line algorithm with a better performance guarantee.