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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Genetic Fuzzy Scheduling

Genetic Fuzzy Scheduling

Lepping, Joachim

Paperback

Technology & Engineering

ISBN10: 3836462885
ISBN13: 9783836462884
Publisher: Vdm Verlag
Published: Mar 3 2008
Pages: 96
Weight: 0.37
Height: 0.20 Width: 6.69 Depth: 9.61
Language: English
In this book, we present novel methodologies for automatically generating online scheduling strategies with the help of real life workload data. The scheduling problem includes independent parallel jobs, multiple identical machines, and a complex scheduling objective. This objective is defined by the machine provider and considers different priorities of user groups. In order to allow a wide range of objective functions, we use a rule based scheduling strategy. There, a rule system classifies all possible scheduling states and assigns an appropriate scheduling strategy to the actual state. The rule bases are developed in three different ways. We evaluate our new scheduling strategies again on real workload data and provide a com-prehensive comparison of the different approaches among each other. Further, we show the benefit of the developed rule based scheduling systems by comparing them to the main standard algorithms currently in use. To this end, we select several exemplary objective functions that prioritize some user groups over others.

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