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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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Recommended Reading

  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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  2. Bansal N, Pruhs K (2003) Server scheduling in the Lp norm: a rising tide lifts all boat. In: Symposium on theory of computing (STOC), San Diego, pp 242–250

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  3. Bansal N, Pruhs K (2004) Server scheduling in the weighted Lp norm. In: LATIN, Buenos Aires, pp 434–443

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Correspondence to Nikhil Bansal .

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Bansal, N. (2016). Shortest Elapsed Time First Scheduling. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_369

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