On the competitiveness of on-line real-time task scheduling
Real-Time Systems
MOCA: a multiprocessor on-line competitive algorithm for real-time system scheduling
Theoretical Computer Science - Special issue on dependable parallel computing
On-line scheduling of jobs with fixed start and end times
Theoretical Computer Science - Special issue on dynamic and on-line algorithms
Randomized on-line scheduling of parallel jobs
Journal of Algorithms
Approximation algorithms for NP-hard problems
Online computation and competitive analysis
Online computation and competitive analysis
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
Speed is as powerful as clairvoyance
Journal of the ACM (JACM)
Scheduling Algorithms
Developments from a June 1996 seminar on Online algorithms: the state of the art
Journal of Scheduling - Special issue: On-line algorithm part I
Theoretical Computer Science - Approximation and online algorithms
Minimizing the maximum starting time on-line
Information and Computation
Online scheduling of bounded length jobs to maximize throughput
WAOA'09 Proceedings of the 7th international conference on Approximation and Online Algorithms
Online scheduling of bounded length jobs to maximize throughput
Journal of Scheduling
Online traveling salesman problem with deadline and advanced information
Computers and Industrial Engineering
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We consider the problem of maximizing the number of jobs completed by their deadline in an online single processor system where the jobs are preemptable and have release times. So in the standard three field scheduling notation, this is the online version of the problem 1 |ri; pmtn| Σ(1 - Ui). We present a deterministic algorithm Lax, and show that for every instance I, it is the case that either Lax, or the well-known deterministic algorithm SRPT (Shortest Remaining Processing Time), is constant competitive on I. An immediate consequence of this result is a constant competitive randomized algorithm for this problem. It is known that no constant competitive deterministic algorithm exists for this problem.