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A Balanced Revenue-Based Resource Sharing Scheme for Advance and Immediate Reservations

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3768))

Abstract

In order to provide the QoS (Quality of Service) effectively to the network-based media applications consuming large bandwidth (e.g., video conferencing), the service providers of QoS-provisioned networks should allow customers to reserve their resources in advance. The service provider, however, should also provide conventional reservations (generally known as immediate reservations) that do not specify session duration. To adaptively control the amount of sharable resources between resource partitions for the respective immediate and advance reservations, in this paper, we propose a balanced revenue-based resource sharing scheme that maintains expected revenue within a pre-defined range while minimizing the management overhead. By analyzing the relationship between the revenue and the amount of resources under conflict (i.e., immediately reserved flows should be preempted to make room for advance reservation flows), we control the trade-off. That is, a resource boundary between two types of reservations is dynamically adjusted by a weighting parameter that represents the sharing modes for the expected revenue: aggressive and conservative. Network simulation results show that the proposed scheme exhibits enhanced performance (i.e., stabilized revenue and low management overhead) in comparison to alternative schemes, especially when the demand for two types of reservations varies.

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© 2005 Springer-Verlag Berlin Heidelberg

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Yi, DH., Kim, J. (2005). A Balanced Revenue-Based Resource Sharing Scheme for Advance and Immediate Reservations. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_44

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  • DOI: https://doi.org/10.1007/11582267_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30040-3

  • Online ISBN: 978-3-540-32131-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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