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Shortest Elapsed Time First Scheduling

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Encyclopedia of Algorithms
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Years and Authors of Summarized Original Work

2003; Bansal, Pruhs

Problem Definition

The problem is concerned with scheduling dynamically arriving jobs in the scenario when the processing requirements of jobs are unknown to the scheduler. The lack of knowledge of how long a job will take to execute is a particularly attractive assumption in real systems where such information might be difficult or impossible to obtain. The goal is to schedule jobs to provide good quality of service to the users. In particular the goal is to design algorithms that have good average performance and are also fair in the sense that no subset of users experiences substantially worse performance than others.

Notations

Let \(\mathcal{J} =\{ 1,2,\ldots ,n\}\) denote the set of jobs in the input instance. Each job j is characterized by its release time r j and its processing requirement p j . In the online setting, job j is revealed to the scheduler only at time r j . A further restriction is the non-clairvoyant...

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  1. Bansal N, Dhamdhere K, Konemann J, Sinha A (2004) Non-clairvoyant scheduling for minimizing mean slowdown. Algorithmica 40(4):305–318

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Bansal, N. (2014). Shortest Elapsed Time First Scheduling. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-3-642-27848-8_369-2

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  • DOI: https://doi.org/10.1007/978-3-642-27848-8_369-2

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  • Online ISBN: 978-3-642-27848-8

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