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Optimal Scheduling with Resources for Application Execution in 3G Networks

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Book cover KI 2008: Advances in Artificial Intelligence (KI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5243))

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Abstract

Today the number of data applications for cellular phones increases rapidly. Most of these data applications require a connection to the Service Delivery Platform (SDP) in the cellular network. As a consequence the booting of the cellular phone and the starting of mobile applications take several minutes. In this paper an approach is presented to optimise the start time of mobile applications. The idea is to partition the call set-up of mobile applications into modules and to apply them to scheduling. Main challenges are to take into account the required temporal and operational resources, and to generate the schedule in real-time. The applied scheduler is based on the Simplex method from Discrete Mathematics and delivers en passant the proof for the optimality. Experiments demonstrate the approach and the results are compared with former experiments based on a temporal planner from the field of Artificial Intelligence (AI).

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Author information

Authors and Affiliations

  1. Deutsche Telekom Laboratories at Ben Gurion University, P.O.B. 653, Beer-Sheva, 84150, Israel

    Roman Englert

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  1. Roman Englert
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Editor information

Andreas R. Dengel Karsten Berns Thomas M. Breuel Frank Bomarius Thomas R. Roth-Berghofer

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© 2008 Springer-Verlag Berlin Heidelberg

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Englert, R. (2008). Optimal Scheduling with Resources for Application Execution in 3G Networks. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_25

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  • DOI: https://doi.org/10.1007/978-3-540-85845-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85844-7

  • Online ISBN: 978-3-540-85845-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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